HiOmics: A cloud-based one-stop platform for the comprehensive analysis of large-scale omics data

Analyzing the vast amount of omics data generated comprehensively by high-throughput sequencing technology is of utmost importance for scientists. In this context, we propose HiOmics, a cloud-based platform equipped with nearly 300 plugins designed for the comprehensive analysis and visualization of...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Wen Li [verfasserIn] Zhining Zhang [verfasserIn] Bo Xie [verfasserIn] Yunlin He [verfasserIn] Kangming He [verfasserIn] Hong Qiu [verfasserIn] Zhiwei Lu [verfasserIn] Chunlan Jiang [verfasserIn] Xuanyu Pan [verfasserIn] Yuxiao He [verfasserIn] Wenyu Hu [verfasserIn] Wenjian Liu [verfasserIn] Tengcheng Que [verfasserIn] Yanling Hu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	Artificial intelligence modeling Cloud-based analysis HiOmics Large-scale omics data analysis Multi-omics integration analysis

Übergeordnetes Werk:	In: Computational and Structural Biotechnology Journal - Elsevier, 2013, 23(2024), Seite 659-668
Übergeordnetes Werk:	volume:23 ; year:2024 ; pages:659-668

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.csbj.2024.01.002

Katalog-ID:	DOAJ097843989

Internformat


LEADER	01000naa a22002652 4500
001	DOAJ097843989
003	DE-627
005	20240413195632.0
007	cr uuu---uuuuu
008	240413s2024 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.1016/j.csbj.2024.01.002 \|2 doi
035			\|a (DE-627)DOAJ097843989
035			\|a (DE-599)DOAJcc3d4f483fd84cf4ac82b8b3937ad17e
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
050		0	\|a TP248.13-248.65
100	0		\|a Wen Li \|e verfasserin \|4 aut
245	1	0	\|a HiOmics: A cloud-based one-stop platform for the comprehensive analysis of large-scale omics data
264		1	\|c 2024
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a Analyzing the vast amount of omics data generated comprehensively by high-throughput sequencing technology is of utmost importance for scientists. In this context, we propose HiOmics, a cloud-based platform equipped with nearly 300 plugins designed for the comprehensive analysis and visualization of omics data. HiOmics utilizes the Element Plus framework to craft a user-friendly interface and harnesses Docker container technology to ensure the reliability and reproducibility of data analysis results. Furthermore, HiOmics employs the Workflow Description Language and Cromwell engine to construct workflows, ensuring the portability of data analysis and simplifying the examination of intricate data. Additionally, HiOmics has developed DataCheck, a tool based on Golang, which verifies and converts data formats. Finally, by leveraging the object storage technology and batch computing capabilities of public cloud platforms, HiOmics enables the storage and processing of large-scale data while maintaining resource independence among users.
650		4	\|a Artificial intelligence modeling
650		4	\|a Cloud-based analysis
650		4	\|a HiOmics
650		4	\|a Large-scale omics data analysis
650		4	\|a Multi-omics integration analysis
653		0	\|a Biotechnology
700	0		\|a Zhining Zhang \|e verfasserin \|4 aut
700	0		\|a Bo Xie \|e verfasserin \|4 aut
700	0		\|a Yunlin He \|e verfasserin \|4 aut
700	0		\|a Kangming He \|e verfasserin \|4 aut
700	0		\|a Hong Qiu \|e verfasserin \|4 aut
700	0		\|a Zhiwei Lu \|e verfasserin \|4 aut
700	0		\|a Chunlan Jiang \|e verfasserin \|4 aut
700	0		\|a Xuanyu Pan \|e verfasserin \|4 aut
700	0		\|a Yuxiao He \|e verfasserin \|4 aut
700	0		\|a Wenyu Hu \|e verfasserin \|4 aut
700	0		\|a Wenjian Liu \|e verfasserin \|4 aut
700	0		\|a Tengcheng Que \|e verfasserin \|4 aut
700	0		\|a Yanling Hu \|e verfasserin \|4 aut
773	0	8	\|i In \|t Computational and Structural Biotechnology Journal \|d Elsevier, 2013 \|g 23(2024), Seite 659-668 \|w (DE-627)731890086 \|w (DE-600)2694435-2 \|x 20010370 \|7 nnns
773	1	8	\|g volume:23 \|g year:2024 \|g pages:659-668
856	4	0	\|u https://doi.org/10.1016/j.csbj.2024.01.002 \|z kostenfrei
856	4	0	\|u https://doaj.org/article/cc3d4f483fd84cf4ac82b8b3937ad17e \|z kostenfrei
856	4	0	\|u http://www.sciencedirect.com/science/article/pii/S2001037024000023 \|z kostenfrei
856	4	2	\|u https://doaj.org/toc/2001-0370 \|y Journal toc \|z kostenfrei
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_DOAJ
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 23 \|j 2024 \|h 659-668

Indexfelder

author_variant	w l wl z z zz b x bx y h yh k h kh h q hq z l zl c j cj x p xp y h yh w h wh w l wl t q tq y h yh
matchkey_str	article:20010370:2024----::imcalubsdnsopafrfrhcmrhnienlss
hierarchy_sort_str	2024
callnumber-subject-code	TP
publishDate	2024
allfields	10.1016/j.csbj.2024.01.002 doi (DE-627)DOAJ097843989 (DE-599)DOAJcc3d4f483fd84cf4ac82b8b3937ad17e DE-627 ger DE-627 rakwb eng TP248.13-248.65 Wen Li verfasserin aut HiOmics: A cloud-based one-stop platform for the comprehensive analysis of large-scale omics data 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Analyzing the vast amount of omics data generated comprehensively by high-throughput sequencing technology is of utmost importance for scientists. In this context, we propose HiOmics, a cloud-based platform equipped with nearly 300 plugins designed for the comprehensive analysis and visualization of omics data. HiOmics utilizes the Element Plus framework to craft a user-friendly interface and harnesses Docker container technology to ensure the reliability and reproducibility of data analysis results. Furthermore, HiOmics employs the Workflow Description Language and Cromwell engine to construct workflows, ensuring the portability of data analysis and simplifying the examination of intricate data. Additionally, HiOmics has developed DataCheck, a tool based on Golang, which verifies and converts data formats. Finally, by leveraging the object storage technology and batch computing capabilities of public cloud platforms, HiOmics enables the storage and processing of large-scale data while maintaining resource independence among users. Artificial intelligence modeling Cloud-based analysis HiOmics Large-scale omics data analysis Multi-omics integration analysis Biotechnology Zhining Zhang verfasserin aut Bo Xie verfasserin aut Yunlin He verfasserin aut Kangming He verfasserin aut Hong Qiu verfasserin aut Zhiwei Lu verfasserin aut Chunlan Jiang verfasserin aut Xuanyu Pan verfasserin aut Yuxiao He verfasserin aut Wenyu Hu verfasserin aut Wenjian Liu verfasserin aut Tengcheng Que verfasserin aut Yanling Hu verfasserin aut In Computational and Structural Biotechnology Journal Elsevier, 2013 23(2024), Seite 659-668 (DE-627)731890086 (DE-600)2694435-2 20010370 nnns volume:23 year:2024 pages:659-668 https://doi.org/10.1016/j.csbj.2024.01.002 kostenfrei https://doaj.org/article/cc3d4f483fd84cf4ac82b8b3937ad17e kostenfrei http://www.sciencedirect.com/science/article/pii/S2001037024000023 kostenfrei https://doaj.org/toc/2001-0370 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 23 2024 659-668
spelling	10.1016/j.csbj.2024.01.002 doi (DE-627)DOAJ097843989 (DE-599)DOAJcc3d4f483fd84cf4ac82b8b3937ad17e DE-627 ger DE-627 rakwb eng TP248.13-248.65 Wen Li verfasserin aut HiOmics: A cloud-based one-stop platform for the comprehensive analysis of large-scale omics data 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Analyzing the vast amount of omics data generated comprehensively by high-throughput sequencing technology is of utmost importance for scientists. In this context, we propose HiOmics, a cloud-based platform equipped with nearly 300 plugins designed for the comprehensive analysis and visualization of omics data. HiOmics utilizes the Element Plus framework to craft a user-friendly interface and harnesses Docker container technology to ensure the reliability and reproducibility of data analysis results. Furthermore, HiOmics employs the Workflow Description Language and Cromwell engine to construct workflows, ensuring the portability of data analysis and simplifying the examination of intricate data. Additionally, HiOmics has developed DataCheck, a tool based on Golang, which verifies and converts data formats. Finally, by leveraging the object storage technology and batch computing capabilities of public cloud platforms, HiOmics enables the storage and processing of large-scale data while maintaining resource independence among users. Artificial intelligence modeling Cloud-based analysis HiOmics Large-scale omics data analysis Multi-omics integration analysis Biotechnology Zhining Zhang verfasserin aut Bo Xie verfasserin aut Yunlin He verfasserin aut Kangming He verfasserin aut Hong Qiu verfasserin aut Zhiwei Lu verfasserin aut Chunlan Jiang verfasserin aut Xuanyu Pan verfasserin aut Yuxiao He verfasserin aut Wenyu Hu verfasserin aut Wenjian Liu verfasserin aut Tengcheng Que verfasserin aut Yanling Hu verfasserin aut In Computational and Structural Biotechnology Journal Elsevier, 2013 23(2024), Seite 659-668 (DE-627)731890086 (DE-600)2694435-2 20010370 nnns volume:23 year:2024 pages:659-668 https://doi.org/10.1016/j.csbj.2024.01.002 kostenfrei https://doaj.org/article/cc3d4f483fd84cf4ac82b8b3937ad17e kostenfrei http://www.sciencedirect.com/science/article/pii/S2001037024000023 kostenfrei https://doaj.org/toc/2001-0370 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 23 2024 659-668
allfields_unstemmed	10.1016/j.csbj.2024.01.002 doi (DE-627)DOAJ097843989 (DE-599)DOAJcc3d4f483fd84cf4ac82b8b3937ad17e DE-627 ger DE-627 rakwb eng TP248.13-248.65 Wen Li verfasserin aut HiOmics: A cloud-based one-stop platform for the comprehensive analysis of large-scale omics data 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Analyzing the vast amount of omics data generated comprehensively by high-throughput sequencing technology is of utmost importance for scientists. In this context, we propose HiOmics, a cloud-based platform equipped with nearly 300 plugins designed for the comprehensive analysis and visualization of omics data. HiOmics utilizes the Element Plus framework to craft a user-friendly interface and harnesses Docker container technology to ensure the reliability and reproducibility of data analysis results. Furthermore, HiOmics employs the Workflow Description Language and Cromwell engine to construct workflows, ensuring the portability of data analysis and simplifying the examination of intricate data. Additionally, HiOmics has developed DataCheck, a tool based on Golang, which verifies and converts data formats. Finally, by leveraging the object storage technology and batch computing capabilities of public cloud platforms, HiOmics enables the storage and processing of large-scale data while maintaining resource independence among users. Artificial intelligence modeling Cloud-based analysis HiOmics Large-scale omics data analysis Multi-omics integration analysis Biotechnology Zhining Zhang verfasserin aut Bo Xie verfasserin aut Yunlin He verfasserin aut Kangming He verfasserin aut Hong Qiu verfasserin aut Zhiwei Lu verfasserin aut Chunlan Jiang verfasserin aut Xuanyu Pan verfasserin aut Yuxiao He verfasserin aut Wenyu Hu verfasserin aut Wenjian Liu verfasserin aut Tengcheng Que verfasserin aut Yanling Hu verfasserin aut In Computational and Structural Biotechnology Journal Elsevier, 2013 23(2024), Seite 659-668 (DE-627)731890086 (DE-600)2694435-2 20010370 nnns volume:23 year:2024 pages:659-668 https://doi.org/10.1016/j.csbj.2024.01.002 kostenfrei https://doaj.org/article/cc3d4f483fd84cf4ac82b8b3937ad17e kostenfrei http://www.sciencedirect.com/science/article/pii/S2001037024000023 kostenfrei https://doaj.org/toc/2001-0370 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 23 2024 659-668
allfieldsGer	10.1016/j.csbj.2024.01.002 doi (DE-627)DOAJ097843989 (DE-599)DOAJcc3d4f483fd84cf4ac82b8b3937ad17e DE-627 ger DE-627 rakwb eng TP248.13-248.65 Wen Li verfasserin aut HiOmics: A cloud-based one-stop platform for the comprehensive analysis of large-scale omics data 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Analyzing the vast amount of omics data generated comprehensively by high-throughput sequencing technology is of utmost importance for scientists. In this context, we propose HiOmics, a cloud-based platform equipped with nearly 300 plugins designed for the comprehensive analysis and visualization of omics data. HiOmics utilizes the Element Plus framework to craft a user-friendly interface and harnesses Docker container technology to ensure the reliability and reproducibility of data analysis results. Furthermore, HiOmics employs the Workflow Description Language and Cromwell engine to construct workflows, ensuring the portability of data analysis and simplifying the examination of intricate data. Additionally, HiOmics has developed DataCheck, a tool based on Golang, which verifies and converts data formats. Finally, by leveraging the object storage technology and batch computing capabilities of public cloud platforms, HiOmics enables the storage and processing of large-scale data while maintaining resource independence among users. Artificial intelligence modeling Cloud-based analysis HiOmics Large-scale omics data analysis Multi-omics integration analysis Biotechnology Zhining Zhang verfasserin aut Bo Xie verfasserin aut Yunlin He verfasserin aut Kangming He verfasserin aut Hong Qiu verfasserin aut Zhiwei Lu verfasserin aut Chunlan Jiang verfasserin aut Xuanyu Pan verfasserin aut Yuxiao He verfasserin aut Wenyu Hu verfasserin aut Wenjian Liu verfasserin aut Tengcheng Que verfasserin aut Yanling Hu verfasserin aut In Computational and Structural Biotechnology Journal Elsevier, 2013 23(2024), Seite 659-668 (DE-627)731890086 (DE-600)2694435-2 20010370 nnns volume:23 year:2024 pages:659-668 https://doi.org/10.1016/j.csbj.2024.01.002 kostenfrei https://doaj.org/article/cc3d4f483fd84cf4ac82b8b3937ad17e kostenfrei http://www.sciencedirect.com/science/article/pii/S2001037024000023 kostenfrei https://doaj.org/toc/2001-0370 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 23 2024 659-668
allfieldsSound	10.1016/j.csbj.2024.01.002 doi (DE-627)DOAJ097843989 (DE-599)DOAJcc3d4f483fd84cf4ac82b8b3937ad17e DE-627 ger DE-627 rakwb eng TP248.13-248.65 Wen Li verfasserin aut HiOmics: A cloud-based one-stop platform for the comprehensive analysis of large-scale omics data 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Analyzing the vast amount of omics data generated comprehensively by high-throughput sequencing technology is of utmost importance for scientists. In this context, we propose HiOmics, a cloud-based platform equipped with nearly 300 plugins designed for the comprehensive analysis and visualization of omics data. HiOmics utilizes the Element Plus framework to craft a user-friendly interface and harnesses Docker container technology to ensure the reliability and reproducibility of data analysis results. Furthermore, HiOmics employs the Workflow Description Language and Cromwell engine to construct workflows, ensuring the portability of data analysis and simplifying the examination of intricate data. Additionally, HiOmics has developed DataCheck, a tool based on Golang, which verifies and converts data formats. Finally, by leveraging the object storage technology and batch computing capabilities of public cloud platforms, HiOmics enables the storage and processing of large-scale data while maintaining resource independence among users. Artificial intelligence modeling Cloud-based analysis HiOmics Large-scale omics data analysis Multi-omics integration analysis Biotechnology Zhining Zhang verfasserin aut Bo Xie verfasserin aut Yunlin He verfasserin aut Kangming He verfasserin aut Hong Qiu verfasserin aut Zhiwei Lu verfasserin aut Chunlan Jiang verfasserin aut Xuanyu Pan verfasserin aut Yuxiao He verfasserin aut Wenyu Hu verfasserin aut Wenjian Liu verfasserin aut Tengcheng Que verfasserin aut Yanling Hu verfasserin aut In Computational and Structural Biotechnology Journal Elsevier, 2013 23(2024), Seite 659-668 (DE-627)731890086 (DE-600)2694435-2 20010370 nnns volume:23 year:2024 pages:659-668 https://doi.org/10.1016/j.csbj.2024.01.002 kostenfrei https://doaj.org/article/cc3d4f483fd84cf4ac82b8b3937ad17e kostenfrei http://www.sciencedirect.com/science/article/pii/S2001037024000023 kostenfrei https://doaj.org/toc/2001-0370 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 23 2024 659-668
language	English
source	In Computational and Structural Biotechnology Journal 23(2024), Seite 659-668 volume:23 year:2024 pages:659-668
sourceStr	In Computational and Structural Biotechnology Journal 23(2024), Seite 659-668 volume:23 year:2024 pages:659-668
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Artificial intelligence modeling Cloud-based analysis HiOmics Large-scale omics data analysis Multi-omics integration analysis Biotechnology
isfreeaccess_bool	true
container_title	Computational and Structural Biotechnology Journal
authorswithroles_txt_mv	Wen Li @@aut@@ Zhining Zhang @@aut@@ Bo Xie @@aut@@ Yunlin He @@aut@@ Kangming He @@aut@@ Hong Qiu @@aut@@ Zhiwei Lu @@aut@@ Chunlan Jiang @@aut@@ Xuanyu Pan @@aut@@ Yuxiao He @@aut@@ Wenyu Hu @@aut@@ Wenjian Liu @@aut@@ Tengcheng Que @@aut@@ Yanling Hu @@aut@@
publishDateDaySort_date	2024-01-01T00:00:00Z
hierarchy_top_id	731890086
id	DOAJ097843989
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ097843989</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240413195632.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240413s2024 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.csbj.2024.01.002</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ097843989</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJcc3d4f483fd84cf4ac82b8b3937ad17e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">TP248.13-248.65</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Wen Li</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">HiOmics: A cloud-based one-stop platform for the comprehensive analysis of large-scale omics data</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2024</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Analyzing the vast amount of omics data generated comprehensively by high-throughput sequencing technology is of utmost importance for scientists. In this context, we propose HiOmics, a cloud-based platform equipped with nearly 300 plugins designed for the comprehensive analysis and visualization of omics data. HiOmics utilizes the Element Plus framework to craft a user-friendly interface and harnesses Docker container technology to ensure the reliability and reproducibility of data analysis results. Furthermore, HiOmics employs the Workflow Description Language and Cromwell engine to construct workflows, ensuring the portability of data analysis and simplifying the examination of intricate data. Additionally, HiOmics has developed DataCheck, a tool based on Golang, which verifies and converts data formats. Finally, by leveraging the object storage technology and batch computing capabilities of public cloud platforms, HiOmics enables the storage and processing of large-scale data while maintaining resource independence among users.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence modeling</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cloud-based analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">HiOmics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Large-scale omics data analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Multi-omics integration analysis</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Biotechnology</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Zhining Zhang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Bo Xie</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yunlin He</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Kangming He</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Hong Qiu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Zhiwei Lu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Chunlan Jiang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xuanyu Pan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yuxiao He</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Wenyu Hu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Wenjian Liu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Tengcheng Que</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yanling Hu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Computational and Structural Biotechnology Journal</subfield><subfield code="d">Elsevier, 2013</subfield><subfield code="g">23(2024), Seite 659-668</subfield><subfield code="w">(DE-627)731890086</subfield><subfield code="w">(DE-600)2694435-2</subfield><subfield code="x">20010370</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:23</subfield><subfield code="g">year:2024</subfield><subfield code="g">pages:659-668</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.csbj.2024.01.002</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/cc3d4f483fd84cf4ac82b8b3937ad17e</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/article/pii/S2001037024000023</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2001-0370</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">23</subfield><subfield code="j">2024</subfield><subfield code="h">659-668</subfield></datafield></record></collection>
callnumber-first	T - Technology
author	Wen Li
spellingShingle	Wen Li misc TP248.13-248.65 misc Artificial intelligence modeling misc Cloud-based analysis misc HiOmics misc Large-scale omics data analysis misc Multi-omics integration analysis misc Biotechnology HiOmics: A cloud-based one-stop platform for the comprehensive analysis of large-scale omics data
authorStr	Wen Li
ppnlink_with_tag_str_mv	@@773@@(DE-627)731890086
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut aut aut aut aut aut aut aut aut aut aut aut
collection	DOAJ
remote_str	true
callnumber-label	TP248
illustrated	Not Illustrated
issn	20010370
topic_title	TP248.13-248.65 HiOmics: A cloud-based one-stop platform for the comprehensive analysis of large-scale omics data Artificial intelligence modeling Cloud-based analysis HiOmics Large-scale omics data analysis Multi-omics integration analysis
topic	misc TP248.13-248.65 misc Artificial intelligence modeling misc Cloud-based analysis misc HiOmics misc Large-scale omics data analysis misc Multi-omics integration analysis misc Biotechnology
topic_unstemmed	misc TP248.13-248.65 misc Artificial intelligence modeling misc Cloud-based analysis misc HiOmics misc Large-scale omics data analysis misc Multi-omics integration analysis misc Biotechnology
topic_browse	misc TP248.13-248.65 misc Artificial intelligence modeling misc Cloud-based analysis misc HiOmics misc Large-scale omics data analysis misc Multi-omics integration analysis misc Biotechnology
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Computational and Structural Biotechnology Journal
hierarchy_parent_id	731890086
hierarchy_top_title	Computational and Structural Biotechnology Journal
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)731890086 (DE-600)2694435-2
title	HiOmics: A cloud-based one-stop platform for the comprehensive analysis of large-scale omics data
ctrlnum	(DE-627)DOAJ097843989 (DE-599)DOAJcc3d4f483fd84cf4ac82b8b3937ad17e
title_full	HiOmics: A cloud-based one-stop platform for the comprehensive analysis of large-scale omics data
author_sort	Wen Li
journal	Computational and Structural Biotechnology Journal
journalStr	Computational and Structural Biotechnology Journal
callnumber-first-code	T
lang_code	eng
isOA_bool	true
recordtype	marc
publishDateSort	2024
contenttype_str_mv	txt
container_start_page	659
author_browse	Wen Li Zhining Zhang Bo Xie Yunlin He Kangming He Hong Qiu Zhiwei Lu Chunlan Jiang Xuanyu Pan Yuxiao He Wenyu Hu Wenjian Liu Tengcheng Que Yanling Hu
container_volume	23
class	TP248.13-248.65
format_se	Elektronische Aufsätze
author-letter	Wen Li
doi_str_mv	10.1016/j.csbj.2024.01.002
author2-role	verfasserin
title_sort	hiomics: a cloud-based one-stop platform for the comprehensive analysis of large-scale omics data
callnumber	TP248.13-248.65
title_auth	HiOmics: A cloud-based one-stop platform for the comprehensive analysis of large-scale omics data
abstract	Analyzing the vast amount of omics data generated comprehensively by high-throughput sequencing technology is of utmost importance for scientists. In this context, we propose HiOmics, a cloud-based platform equipped with nearly 300 plugins designed for the comprehensive analysis and visualization of omics data. HiOmics utilizes the Element Plus framework to craft a user-friendly interface and harnesses Docker container technology to ensure the reliability and reproducibility of data analysis results. Furthermore, HiOmics employs the Workflow Description Language and Cromwell engine to construct workflows, ensuring the portability of data analysis and simplifying the examination of intricate data. Additionally, HiOmics has developed DataCheck, a tool based on Golang, which verifies and converts data formats. Finally, by leveraging the object storage technology and batch computing capabilities of public cloud platforms, HiOmics enables the storage and processing of large-scale data while maintaining resource independence among users.
abstractGer	Analyzing the vast amount of omics data generated comprehensively by high-throughput sequencing technology is of utmost importance for scientists. In this context, we propose HiOmics, a cloud-based platform equipped with nearly 300 plugins designed for the comprehensive analysis and visualization of omics data. HiOmics utilizes the Element Plus framework to craft a user-friendly interface and harnesses Docker container technology to ensure the reliability and reproducibility of data analysis results. Furthermore, HiOmics employs the Workflow Description Language and Cromwell engine to construct workflows, ensuring the portability of data analysis and simplifying the examination of intricate data. Additionally, HiOmics has developed DataCheck, a tool based on Golang, which verifies and converts data formats. Finally, by leveraging the object storage technology and batch computing capabilities of public cloud platforms, HiOmics enables the storage and processing of large-scale data while maintaining resource independence among users.
abstract_unstemmed	Analyzing the vast amount of omics data generated comprehensively by high-throughput sequencing technology is of utmost importance for scientists. In this context, we propose HiOmics, a cloud-based platform equipped with nearly 300 plugins designed for the comprehensive analysis and visualization of omics data. HiOmics utilizes the Element Plus framework to craft a user-friendly interface and harnesses Docker container technology to ensure the reliability and reproducibility of data analysis results. Furthermore, HiOmics employs the Workflow Description Language and Cromwell engine to construct workflows, ensuring the portability of data analysis and simplifying the examination of intricate data. Additionally, HiOmics has developed DataCheck, a tool based on Golang, which verifies and converts data formats. Finally, by leveraging the object storage technology and batch computing capabilities of public cloud platforms, HiOmics enables the storage and processing of large-scale data while maintaining resource independence among users.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700
title_short	HiOmics: A cloud-based one-stop platform for the comprehensive analysis of large-scale omics data
url	https://doi.org/10.1016/j.csbj.2024.01.002 https://doaj.org/article/cc3d4f483fd84cf4ac82b8b3937ad17e http://www.sciencedirect.com/science/article/pii/S2001037024000023 https://doaj.org/toc/2001-0370
remote_bool	true
author2	Zhining Zhang Bo Xie Yunlin He Kangming He Hong Qiu Zhiwei Lu Chunlan Jiang Xuanyu Pan Yuxiao He Wenyu Hu Wenjian Liu Tengcheng Que Yanling Hu
author2Str	Zhining Zhang Bo Xie Yunlin He Kangming He Hong Qiu Zhiwei Lu Chunlan Jiang Xuanyu Pan Yuxiao He Wenyu Hu Wenjian Liu Tengcheng Que Yanling Hu
ppnlink	731890086
callnumber-subject	TP - Chemical Technology
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.1016/j.csbj.2024.01.002
callnumber-a	TP248.13-248.65
up_date	2024-07-03T14:06:03.395Z
_version_	1803567039429738497
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ097843989</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240413195632.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240413s2024 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.csbj.2024.01.002</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ097843989</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJcc3d4f483fd84cf4ac82b8b3937ad17e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">TP248.13-248.65</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Wen Li</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">HiOmics: A cloud-based one-stop platform for the comprehensive analysis of large-scale omics data</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2024</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Analyzing the vast amount of omics data generated comprehensively by high-throughput sequencing technology is of utmost importance for scientists. In this context, we propose HiOmics, a cloud-based platform equipped with nearly 300 plugins designed for the comprehensive analysis and visualization of omics data. HiOmics utilizes the Element Plus framework to craft a user-friendly interface and harnesses Docker container technology to ensure the reliability and reproducibility of data analysis results. Furthermore, HiOmics employs the Workflow Description Language and Cromwell engine to construct workflows, ensuring the portability of data analysis and simplifying the examination of intricate data. Additionally, HiOmics has developed DataCheck, a tool based on Golang, which verifies and converts data formats. Finally, by leveraging the object storage technology and batch computing capabilities of public cloud platforms, HiOmics enables the storage and processing of large-scale data while maintaining resource independence among users.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence modeling</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cloud-based analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">HiOmics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Large-scale omics data analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Multi-omics integration analysis</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Biotechnology</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Zhining Zhang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Bo Xie</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yunlin He</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Kangming He</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Hong Qiu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Zhiwei Lu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Chunlan Jiang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Xuanyu Pan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yuxiao He</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Wenyu Hu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Wenjian Liu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Tengcheng Que</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yanling Hu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Computational and Structural Biotechnology Journal</subfield><subfield code="d">Elsevier, 2013</subfield><subfield code="g">23(2024), Seite 659-668</subfield><subfield code="w">(DE-627)731890086</subfield><subfield code="w">(DE-600)2694435-2</subfield><subfield code="x">20010370</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:23</subfield><subfield code="g">year:2024</subfield><subfield code="g">pages:659-668</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.csbj.2024.01.002</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/cc3d4f483fd84cf4ac82b8b3937ad17e</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/article/pii/S2001037024000023</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2001-0370</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">23</subfield><subfield code="j">2024</subfield><subfield code="h">659-668</subfield></datafield></record></collection>
score	7.402128

Nicht das Richtige dabei?

Schreiben Sie uns!

HiOmics: A cloud-based one-stop platform for the comprehensive analysis of large-scale omics data

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?