Investigation of data mining technique and artificial intelligence algorithm in microflora bioinformatics

Bioinformatics has gradually received widespread attention and has shown the characteristics of a large amount of calculation and high complexity. Therefore, it is required to adopt computer algorithms in bioinformatics to improve the efficiency of bioinformatics processing problems. Big data and ar...
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Autor*in:	Li Huixing [verfasserIn] Xue Yan [verfasserIn] Zeng Xiancai [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch ; Französisch

Erschienen:	2021

Übergeordnetes Werk:	In: E3S Web of Conferences - EDP Sciences, 2013, 267, p 01040(2021)
Übergeordnetes Werk:	volume:267, p 01040 ; year:2021

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1051/e3sconf/202126701040

Katalog-ID:	DOAJ059047240

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allfields	10.1051/e3sconf/202126701040 doi (DE-627)DOAJ059047240 (DE-599)DOAJd9225c39eab343a1878839b1ffee3484 DE-627 ger DE-627 rakwb eng fre GE1-350 Li Huixing verfasserin aut Investigation of data mining technique and artificial intelligence algorithm in microflora bioinformatics 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Bioinformatics has gradually received widespread attention and has shown the characteristics of a large amount of calculation and high complexity. Therefore, it is required to adopt computer algorithms in bioinformatics to improve the efficiency of bioinformatics processing problems. Big data and artificial intelligence technologies have the characteristics of supporting bioinformatics and have achieved certain results in the field of bioinformatics. Introduced the application basis of big data and artificial intelligence in bioinformatics, analyzed data collection, preprocessing, data storage and management, data analysis, and mining technology. Furthermore, typical applications in bioinformatics are discussed in terms of gene expression data analysis, genome sequence information analysis, biological sequence difference and similarity analysis, genetic data analysis, and protein structure and function prediction. Finally, the bottlenecks and challenges in the application of big data and artificial intelligence in bioinformatics are discussed, and the application prospects of related technologies in bioinformatics have prospected. Environmental sciences Xue Yan verfasserin aut Zeng Xiancai verfasserin aut In E3S Web of Conferences EDP Sciences, 2013 267, p 01040(2021) (DE-627)778372081 (DE-600)2755680-3 22671242 nnns volume:267, p 01040 year:2021 https://doi.org/10.1051/e3sconf/202126701040 kostenfrei https://doaj.org/article/d9225c39eab343a1878839b1ffee3484 kostenfrei https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/43/e3sconf_icsce2021_01040.pdf kostenfrei https://doaj.org/toc/2267-1242 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 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_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 267, p 01040 2021
spelling	10.1051/e3sconf/202126701040 doi (DE-627)DOAJ059047240 (DE-599)DOAJd9225c39eab343a1878839b1ffee3484 DE-627 ger DE-627 rakwb eng fre GE1-350 Li Huixing verfasserin aut Investigation of data mining technique and artificial intelligence algorithm in microflora bioinformatics 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Bioinformatics has gradually received widespread attention and has shown the characteristics of a large amount of calculation and high complexity. Therefore, it is required to adopt computer algorithms in bioinformatics to improve the efficiency of bioinformatics processing problems. Big data and artificial intelligence technologies have the characteristics of supporting bioinformatics and have achieved certain results in the field of bioinformatics. Introduced the application basis of big data and artificial intelligence in bioinformatics, analyzed data collection, preprocessing, data storage and management, data analysis, and mining technology. Furthermore, typical applications in bioinformatics are discussed in terms of gene expression data analysis, genome sequence information analysis, biological sequence difference and similarity analysis, genetic data analysis, and protein structure and function prediction. Finally, the bottlenecks and challenges in the application of big data and artificial intelligence in bioinformatics are discussed, and the application prospects of related technologies in bioinformatics have prospected. Environmental sciences Xue Yan verfasserin aut Zeng Xiancai verfasserin aut In E3S Web of Conferences EDP Sciences, 2013 267, p 01040(2021) (DE-627)778372081 (DE-600)2755680-3 22671242 nnns volume:267, p 01040 year:2021 https://doi.org/10.1051/e3sconf/202126701040 kostenfrei https://doaj.org/article/d9225c39eab343a1878839b1ffee3484 kostenfrei https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/43/e3sconf_icsce2021_01040.pdf kostenfrei https://doaj.org/toc/2267-1242 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 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_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 267, p 01040 2021
allfields_unstemmed	10.1051/e3sconf/202126701040 doi (DE-627)DOAJ059047240 (DE-599)DOAJd9225c39eab343a1878839b1ffee3484 DE-627 ger DE-627 rakwb eng fre GE1-350 Li Huixing verfasserin aut Investigation of data mining technique and artificial intelligence algorithm in microflora bioinformatics 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Bioinformatics has gradually received widespread attention and has shown the characteristics of a large amount of calculation and high complexity. Therefore, it is required to adopt computer algorithms in bioinformatics to improve the efficiency of bioinformatics processing problems. Big data and artificial intelligence technologies have the characteristics of supporting bioinformatics and have achieved certain results in the field of bioinformatics. Introduced the application basis of big data and artificial intelligence in bioinformatics, analyzed data collection, preprocessing, data storage and management, data analysis, and mining technology. Furthermore, typical applications in bioinformatics are discussed in terms of gene expression data analysis, genome sequence information analysis, biological sequence difference and similarity analysis, genetic data analysis, and protein structure and function prediction. Finally, the bottlenecks and challenges in the application of big data and artificial intelligence in bioinformatics are discussed, and the application prospects of related technologies in bioinformatics have prospected. Environmental sciences Xue Yan verfasserin aut Zeng Xiancai verfasserin aut In E3S Web of Conferences EDP Sciences, 2013 267, p 01040(2021) (DE-627)778372081 (DE-600)2755680-3 22671242 nnns volume:267, p 01040 year:2021 https://doi.org/10.1051/e3sconf/202126701040 kostenfrei https://doaj.org/article/d9225c39eab343a1878839b1ffee3484 kostenfrei https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/43/e3sconf_icsce2021_01040.pdf kostenfrei https://doaj.org/toc/2267-1242 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 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_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 267, p 01040 2021
allfieldsGer	10.1051/e3sconf/202126701040 doi (DE-627)DOAJ059047240 (DE-599)DOAJd9225c39eab343a1878839b1ffee3484 DE-627 ger DE-627 rakwb eng fre GE1-350 Li Huixing verfasserin aut Investigation of data mining technique and artificial intelligence algorithm in microflora bioinformatics 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Bioinformatics has gradually received widespread attention and has shown the characteristics of a large amount of calculation and high complexity. Therefore, it is required to adopt computer algorithms in bioinformatics to improve the efficiency of bioinformatics processing problems. Big data and artificial intelligence technologies have the characteristics of supporting bioinformatics and have achieved certain results in the field of bioinformatics. Introduced the application basis of big data and artificial intelligence in bioinformatics, analyzed data collection, preprocessing, data storage and management, data analysis, and mining technology. Furthermore, typical applications in bioinformatics are discussed in terms of gene expression data analysis, genome sequence information analysis, biological sequence difference and similarity analysis, genetic data analysis, and protein structure and function prediction. Finally, the bottlenecks and challenges in the application of big data and artificial intelligence in bioinformatics are discussed, and the application prospects of related technologies in bioinformatics have prospected. Environmental sciences Xue Yan verfasserin aut Zeng Xiancai verfasserin aut In E3S Web of Conferences EDP Sciences, 2013 267, p 01040(2021) (DE-627)778372081 (DE-600)2755680-3 22671242 nnns volume:267, p 01040 year:2021 https://doi.org/10.1051/e3sconf/202126701040 kostenfrei https://doaj.org/article/d9225c39eab343a1878839b1ffee3484 kostenfrei https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/43/e3sconf_icsce2021_01040.pdf kostenfrei https://doaj.org/toc/2267-1242 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 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_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 267, p 01040 2021
allfieldsSound	10.1051/e3sconf/202126701040 doi (DE-627)DOAJ059047240 (DE-599)DOAJd9225c39eab343a1878839b1ffee3484 DE-627 ger DE-627 rakwb eng fre GE1-350 Li Huixing verfasserin aut Investigation of data mining technique and artificial intelligence algorithm in microflora bioinformatics 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Bioinformatics has gradually received widespread attention and has shown the characteristics of a large amount of calculation and high complexity. Therefore, it is required to adopt computer algorithms in bioinformatics to improve the efficiency of bioinformatics processing problems. Big data and artificial intelligence technologies have the characteristics of supporting bioinformatics and have achieved certain results in the field of bioinformatics. Introduced the application basis of big data and artificial intelligence in bioinformatics, analyzed data collection, preprocessing, data storage and management, data analysis, and mining technology. Furthermore, typical applications in bioinformatics are discussed in terms of gene expression data analysis, genome sequence information analysis, biological sequence difference and similarity analysis, genetic data analysis, and protein structure and function prediction. Finally, the bottlenecks and challenges in the application of big data and artificial intelligence in bioinformatics are discussed, and the application prospects of related technologies in bioinformatics have prospected. Environmental sciences Xue Yan verfasserin aut Zeng Xiancai verfasserin aut In E3S Web of Conferences EDP Sciences, 2013 267, p 01040(2021) (DE-627)778372081 (DE-600)2755680-3 22671242 nnns volume:267, p 01040 year:2021 https://doi.org/10.1051/e3sconf/202126701040 kostenfrei https://doaj.org/article/d9225c39eab343a1878839b1ffee3484 kostenfrei https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/43/e3sconf_icsce2021_01040.pdf kostenfrei https://doaj.org/toc/2267-1242 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 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_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2027 GBV_ILN_2055 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_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 267, p 01040 2021
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callnumber-first	G - Geography, Anthropology, Recreation
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topic_title	GE1-350 Investigation of data mining technique and artificial intelligence algorithm in microflora bioinformatics
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title	Investigation of data mining technique and artificial intelligence algorithm in microflora bioinformatics
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title_sort	investigation of data mining technique and artificial intelligence algorithm in microflora bioinformatics
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title_auth	Investigation of data mining technique and artificial intelligence algorithm in microflora bioinformatics
abstract	Bioinformatics has gradually received widespread attention and has shown the characteristics of a large amount of calculation and high complexity. Therefore, it is required to adopt computer algorithms in bioinformatics to improve the efficiency of bioinformatics processing problems. Big data and artificial intelligence technologies have the characteristics of supporting bioinformatics and have achieved certain results in the field of bioinformatics. Introduced the application basis of big data and artificial intelligence in bioinformatics, analyzed data collection, preprocessing, data storage and management, data analysis, and mining technology. Furthermore, typical applications in bioinformatics are discussed in terms of gene expression data analysis, genome sequence information analysis, biological sequence difference and similarity analysis, genetic data analysis, and protein structure and function prediction. Finally, the bottlenecks and challenges in the application of big data and artificial intelligence in bioinformatics are discussed, and the application prospects of related technologies in bioinformatics have prospected.
abstractGer	Bioinformatics has gradually received widespread attention and has shown the characteristics of a large amount of calculation and high complexity. Therefore, it is required to adopt computer algorithms in bioinformatics to improve the efficiency of bioinformatics processing problems. Big data and artificial intelligence technologies have the characteristics of supporting bioinformatics and have achieved certain results in the field of bioinformatics. Introduced the application basis of big data and artificial intelligence in bioinformatics, analyzed data collection, preprocessing, data storage and management, data analysis, and mining technology. Furthermore, typical applications in bioinformatics are discussed in terms of gene expression data analysis, genome sequence information analysis, biological sequence difference and similarity analysis, genetic data analysis, and protein structure and function prediction. Finally, the bottlenecks and challenges in the application of big data and artificial intelligence in bioinformatics are discussed, and the application prospects of related technologies in bioinformatics have prospected.
abstract_unstemmed	Bioinformatics has gradually received widespread attention and has shown the characteristics of a large amount of calculation and high complexity. Therefore, it is required to adopt computer algorithms in bioinformatics to improve the efficiency of bioinformatics processing problems. Big data and artificial intelligence technologies have the characteristics of supporting bioinformatics and have achieved certain results in the field of bioinformatics. Introduced the application basis of big data and artificial intelligence in bioinformatics, analyzed data collection, preprocessing, data storage and management, data analysis, and mining technology. Furthermore, typical applications in bioinformatics are discussed in terms of gene expression data analysis, genome sequence information analysis, biological sequence difference and similarity analysis, genetic data analysis, and protein structure and function prediction. Finally, the bottlenecks and challenges in the application of big data and artificial intelligence in bioinformatics are discussed, and the application prospects of related technologies in bioinformatics have prospected.
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title_short	Investigation of data mining technique and artificial intelligence algorithm in microflora bioinformatics
url	https://doi.org/10.1051/e3sconf/202126701040 https://doaj.org/article/d9225c39eab343a1878839b1ffee3484 https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/43/e3sconf_icsce2021_01040.pdf https://doaj.org/toc/2267-1242
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