MicroPC (μPC): A comprehensive resource for predicting and comparing plant microRNAs

Background Plant microRNA (miRNA) has an important role in controlling gene regulation in various biological processes such as cell development, signal transduction, and environmental responses. While information on plant miRNAs and their targets is widely available, accessible online plant miRNA re...
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Autor*in:	Mhuantong, Wuttichai [verfasserIn] Wichadakul, Duangdao

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2009

Schlagwörter:	miRNA Target miRNA Sequence Plant miRNAs miRNA Candidate Mature miRNA Sequence

Anmerkung:	© Mhuantong and Wichadakul; licensee BioMed Central Ltd. 2009

Übergeordnetes Werk:	Enthalten in: BMC genomics - London : BioMed Central, 2000, 10(2009), 1 vom: 07. Aug.
Übergeordnetes Werk:	volume:10 ; year:2009 ; number:1 ; day:07 ; month:08

Links:	Volltext

DOI / URN:	10.1186/1471-2164-10-366

Katalog-ID:	SPR027045188

Internformat


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520			\|a Background Plant microRNA (miRNA) has an important role in controlling gene regulation in various biological processes such as cell development, signal transduction, and environmental responses. While information on plant miRNAs and their targets is widely available, accessible online plant miRNA resources are limited; most of them are intended for economically important crops or plant model organisms. With abundant sequence data of numerous plants in public databases such as NCBI and PlantGDB, the identification of their miRNAs and targets would benefit researchers as a central resource for the comparative studies of plant miRNAs. Results MicroPC (μPC) is an online plant miRNA resource resulted from large-scale Expressed Sequence Tag (EST) analysis. It consists of 4,006 potential miRNA candidates in 128 families of 125 plant species and 2,995 proteins (4,953 EST sequences) potentially targeted by 78 families of miRNA candidates. In addition, it is incorporated with 1,727 previously reported plant mature miRNA sequences from miRBase. The μPC enables users to compare stored mature or precursor miRNAs and user-supplied sequences among plant species. The search utility allows users to investigate the predicted miRNAs and miRNA targets in detail via various search options such as miRNA family and plant species. To enhance the database usage, the prediction utility provides interactive steps for determining a miRNA or miRNA targets from an input nucleotide sequence and links the prediction results to their homologs in the μPC. Conclusion The μPC constitutes the first online resource that enables users to comprehensively compare and predict plant miRNAs and their targets. It imparts a basis for further research on revealing miRNA conservation, function, and evolution across plant species and classification. The μPC is available at http://www.biotec.or.th/isl/micropc.
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Indexfelder

author_variant	w m wm d w dw
matchkey_str	article:14712164:2009----::irppaopeesvrsucfrrdcigncm
hierarchy_sort_str	2009
publishDate	2009
allfields	10.1186/1471-2164-10-366 doi (DE-627)SPR027045188 (SPR)1471-2164-10-366-e DE-627 ger DE-627 rakwb eng Mhuantong, Wuttichai verfasserin aut MicroPC (μPC): A comprehensive resource for predicting and comparing plant microRNAs 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Mhuantong and Wichadakul; licensee BioMed Central Ltd. 2009 Background Plant microRNA (miRNA) has an important role in controlling gene regulation in various biological processes such as cell development, signal transduction, and environmental responses. While information on plant miRNAs and their targets is widely available, accessible online plant miRNA resources are limited; most of them are intended for economically important crops or plant model organisms. With abundant sequence data of numerous plants in public databases such as NCBI and PlantGDB, the identification of their miRNAs and targets would benefit researchers as a central resource for the comparative studies of plant miRNAs. Results MicroPC (μPC) is an online plant miRNA resource resulted from large-scale Expressed Sequence Tag (EST) analysis. It consists of 4,006 potential miRNA candidates in 128 families of 125 plant species and 2,995 proteins (4,953 EST sequences) potentially targeted by 78 families of miRNA candidates. In addition, it is incorporated with 1,727 previously reported plant mature miRNA sequences from miRBase. The μPC enables users to compare stored mature or precursor miRNAs and user-supplied sequences among plant species. The search utility allows users to investigate the predicted miRNAs and miRNA targets in detail via various search options such as miRNA family and plant species. To enhance the database usage, the prediction utility provides interactive steps for determining a miRNA or miRNA targets from an input nucleotide sequence and links the prediction results to their homologs in the μPC. Conclusion The μPC constitutes the first online resource that enables users to comprehensively compare and predict plant miRNAs and their targets. It imparts a basis for further research on revealing miRNA conservation, function, and evolution across plant species and classification. The μPC is available at http://www.biotec.or.th/isl/micropc. miRNA Target (dpeaa)DE-He213 miRNA Sequence (dpeaa)DE-He213 Plant miRNAs (dpeaa)DE-He213 miRNA Candidate (dpeaa)DE-He213 Mature miRNA Sequence (dpeaa)DE-He213 Wichadakul, Duangdao aut Enthalten in BMC genomics London : BioMed Central, 2000 10(2009), 1 vom: 07. Aug. (DE-627)326644954 (DE-600)2041499-7 1471-2164 nnns volume:10 year:2009 number:1 day:07 month:08 https://dx.doi.org/10.1186/1471-2164-10-366 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 10 2009 1 07 08
spelling	10.1186/1471-2164-10-366 doi (DE-627)SPR027045188 (SPR)1471-2164-10-366-e DE-627 ger DE-627 rakwb eng Mhuantong, Wuttichai verfasserin aut MicroPC (μPC): A comprehensive resource for predicting and comparing plant microRNAs 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Mhuantong and Wichadakul; licensee BioMed Central Ltd. 2009 Background Plant microRNA (miRNA) has an important role in controlling gene regulation in various biological processes such as cell development, signal transduction, and environmental responses. While information on plant miRNAs and their targets is widely available, accessible online plant miRNA resources are limited; most of them are intended for economically important crops or plant model organisms. With abundant sequence data of numerous plants in public databases such as NCBI and PlantGDB, the identification of their miRNAs and targets would benefit researchers as a central resource for the comparative studies of plant miRNAs. Results MicroPC (μPC) is an online plant miRNA resource resulted from large-scale Expressed Sequence Tag (EST) analysis. It consists of 4,006 potential miRNA candidates in 128 families of 125 plant species and 2,995 proteins (4,953 EST sequences) potentially targeted by 78 families of miRNA candidates. In addition, it is incorporated with 1,727 previously reported plant mature miRNA sequences from miRBase. The μPC enables users to compare stored mature or precursor miRNAs and user-supplied sequences among plant species. The search utility allows users to investigate the predicted miRNAs and miRNA targets in detail via various search options such as miRNA family and plant species. To enhance the database usage, the prediction utility provides interactive steps for determining a miRNA or miRNA targets from an input nucleotide sequence and links the prediction results to their homologs in the μPC. Conclusion The μPC constitutes the first online resource that enables users to comprehensively compare and predict plant miRNAs and their targets. It imparts a basis for further research on revealing miRNA conservation, function, and evolution across plant species and classification. The μPC is available at http://www.biotec.or.th/isl/micropc. miRNA Target (dpeaa)DE-He213 miRNA Sequence (dpeaa)DE-He213 Plant miRNAs (dpeaa)DE-He213 miRNA Candidate (dpeaa)DE-He213 Mature miRNA Sequence (dpeaa)DE-He213 Wichadakul, Duangdao aut Enthalten in BMC genomics London : BioMed Central, 2000 10(2009), 1 vom: 07. Aug. (DE-627)326644954 (DE-600)2041499-7 1471-2164 nnns volume:10 year:2009 number:1 day:07 month:08 https://dx.doi.org/10.1186/1471-2164-10-366 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 10 2009 1 07 08
allfields_unstemmed	10.1186/1471-2164-10-366 doi (DE-627)SPR027045188 (SPR)1471-2164-10-366-e DE-627 ger DE-627 rakwb eng Mhuantong, Wuttichai verfasserin aut MicroPC (μPC): A comprehensive resource for predicting and comparing plant microRNAs 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Mhuantong and Wichadakul; licensee BioMed Central Ltd. 2009 Background Plant microRNA (miRNA) has an important role in controlling gene regulation in various biological processes such as cell development, signal transduction, and environmental responses. While information on plant miRNAs and their targets is widely available, accessible online plant miRNA resources are limited; most of them are intended for economically important crops or plant model organisms. With abundant sequence data of numerous plants in public databases such as NCBI and PlantGDB, the identification of their miRNAs and targets would benefit researchers as a central resource for the comparative studies of plant miRNAs. Results MicroPC (μPC) is an online plant miRNA resource resulted from large-scale Expressed Sequence Tag (EST) analysis. It consists of 4,006 potential miRNA candidates in 128 families of 125 plant species and 2,995 proteins (4,953 EST sequences) potentially targeted by 78 families of miRNA candidates. In addition, it is incorporated with 1,727 previously reported plant mature miRNA sequences from miRBase. The μPC enables users to compare stored mature or precursor miRNAs and user-supplied sequences among plant species. The search utility allows users to investigate the predicted miRNAs and miRNA targets in detail via various search options such as miRNA family and plant species. To enhance the database usage, the prediction utility provides interactive steps for determining a miRNA or miRNA targets from an input nucleotide sequence and links the prediction results to their homologs in the μPC. Conclusion The μPC constitutes the first online resource that enables users to comprehensively compare and predict plant miRNAs and their targets. It imparts a basis for further research on revealing miRNA conservation, function, and evolution across plant species and classification. The μPC is available at http://www.biotec.or.th/isl/micropc. miRNA Target (dpeaa)DE-He213 miRNA Sequence (dpeaa)DE-He213 Plant miRNAs (dpeaa)DE-He213 miRNA Candidate (dpeaa)DE-He213 Mature miRNA Sequence (dpeaa)DE-He213 Wichadakul, Duangdao aut Enthalten in BMC genomics London : BioMed Central, 2000 10(2009), 1 vom: 07. Aug. (DE-627)326644954 (DE-600)2041499-7 1471-2164 nnns volume:10 year:2009 number:1 day:07 month:08 https://dx.doi.org/10.1186/1471-2164-10-366 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 10 2009 1 07 08
allfieldsGer	10.1186/1471-2164-10-366 doi (DE-627)SPR027045188 (SPR)1471-2164-10-366-e DE-627 ger DE-627 rakwb eng Mhuantong, Wuttichai verfasserin aut MicroPC (μPC): A comprehensive resource for predicting and comparing plant microRNAs 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Mhuantong and Wichadakul; licensee BioMed Central Ltd. 2009 Background Plant microRNA (miRNA) has an important role in controlling gene regulation in various biological processes such as cell development, signal transduction, and environmental responses. While information on plant miRNAs and their targets is widely available, accessible online plant miRNA resources are limited; most of them are intended for economically important crops or plant model organisms. With abundant sequence data of numerous plants in public databases such as NCBI and PlantGDB, the identification of their miRNAs and targets would benefit researchers as a central resource for the comparative studies of plant miRNAs. Results MicroPC (μPC) is an online plant miRNA resource resulted from large-scale Expressed Sequence Tag (EST) analysis. It consists of 4,006 potential miRNA candidates in 128 families of 125 plant species and 2,995 proteins (4,953 EST sequences) potentially targeted by 78 families of miRNA candidates. In addition, it is incorporated with 1,727 previously reported plant mature miRNA sequences from miRBase. The μPC enables users to compare stored mature or precursor miRNAs and user-supplied sequences among plant species. The search utility allows users to investigate the predicted miRNAs and miRNA targets in detail via various search options such as miRNA family and plant species. To enhance the database usage, the prediction utility provides interactive steps for determining a miRNA or miRNA targets from an input nucleotide sequence and links the prediction results to their homologs in the μPC. Conclusion The μPC constitutes the first online resource that enables users to comprehensively compare and predict plant miRNAs and their targets. It imparts a basis for further research on revealing miRNA conservation, function, and evolution across plant species and classification. The μPC is available at http://www.biotec.or.th/isl/micropc. miRNA Target (dpeaa)DE-He213 miRNA Sequence (dpeaa)DE-He213 Plant miRNAs (dpeaa)DE-He213 miRNA Candidate (dpeaa)DE-He213 Mature miRNA Sequence (dpeaa)DE-He213 Wichadakul, Duangdao aut Enthalten in BMC genomics London : BioMed Central, 2000 10(2009), 1 vom: 07. Aug. (DE-627)326644954 (DE-600)2041499-7 1471-2164 nnns volume:10 year:2009 number:1 day:07 month:08 https://dx.doi.org/10.1186/1471-2164-10-366 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 10 2009 1 07 08
allfieldsSound	10.1186/1471-2164-10-366 doi (DE-627)SPR027045188 (SPR)1471-2164-10-366-e DE-627 ger DE-627 rakwb eng Mhuantong, Wuttichai verfasserin aut MicroPC (μPC): A comprehensive resource for predicting and comparing plant microRNAs 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Mhuantong and Wichadakul; licensee BioMed Central Ltd. 2009 Background Plant microRNA (miRNA) has an important role in controlling gene regulation in various biological processes such as cell development, signal transduction, and environmental responses. While information on plant miRNAs and their targets is widely available, accessible online plant miRNA resources are limited; most of them are intended for economically important crops or plant model organisms. With abundant sequence data of numerous plants in public databases such as NCBI and PlantGDB, the identification of their miRNAs and targets would benefit researchers as a central resource for the comparative studies of plant miRNAs. Results MicroPC (μPC) is an online plant miRNA resource resulted from large-scale Expressed Sequence Tag (EST) analysis. It consists of 4,006 potential miRNA candidates in 128 families of 125 plant species and 2,995 proteins (4,953 EST sequences) potentially targeted by 78 families of miRNA candidates. In addition, it is incorporated with 1,727 previously reported plant mature miRNA sequences from miRBase. The μPC enables users to compare stored mature or precursor miRNAs and user-supplied sequences among plant species. The search utility allows users to investigate the predicted miRNAs and miRNA targets in detail via various search options such as miRNA family and plant species. To enhance the database usage, the prediction utility provides interactive steps for determining a miRNA or miRNA targets from an input nucleotide sequence and links the prediction results to their homologs in the μPC. Conclusion The μPC constitutes the first online resource that enables users to comprehensively compare and predict plant miRNAs and their targets. It imparts a basis for further research on revealing miRNA conservation, function, and evolution across plant species and classification. The μPC is available at http://www.biotec.or.th/isl/micropc. miRNA Target (dpeaa)DE-He213 miRNA Sequence (dpeaa)DE-He213 Plant miRNAs (dpeaa)DE-He213 miRNA Candidate (dpeaa)DE-He213 Mature miRNA Sequence (dpeaa)DE-He213 Wichadakul, Duangdao aut Enthalten in BMC genomics London : BioMed Central, 2000 10(2009), 1 vom: 07. Aug. (DE-627)326644954 (DE-600)2041499-7 1471-2164 nnns volume:10 year:2009 number:1 day:07 month:08 https://dx.doi.org/10.1186/1471-2164-10-366 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 10 2009 1 07 08
language	English
source	Enthalten in BMC genomics 10(2009), 1 vom: 07. Aug. volume:10 year:2009 number:1 day:07 month:08
sourceStr	Enthalten in BMC genomics 10(2009), 1 vom: 07. Aug. volume:10 year:2009 number:1 day:07 month:08
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	miRNA Target miRNA Sequence Plant miRNAs miRNA Candidate Mature miRNA Sequence
isfreeaccess_bool	true
container_title	BMC genomics
authorswithroles_txt_mv	Mhuantong, Wuttichai @@aut@@ Wichadakul, Duangdao @@aut@@
publishDateDaySort_date	2009-08-07T00:00:00Z
hierarchy_top_id	326644954
id	SPR027045188
language_de	englisch
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author	Mhuantong, Wuttichai
spellingShingle	Mhuantong, Wuttichai misc miRNA Target misc miRNA Sequence misc Plant miRNAs misc miRNA Candidate misc Mature miRNA Sequence MicroPC (μPC): A comprehensive resource for predicting and comparing plant microRNAs
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topic_title	MicroPC (μPC): A comprehensive resource for predicting and comparing plant microRNAs miRNA Target (dpeaa)DE-He213 miRNA Sequence (dpeaa)DE-He213 Plant miRNAs (dpeaa)DE-He213 miRNA Candidate (dpeaa)DE-He213 Mature miRNA Sequence (dpeaa)DE-He213
topic	misc miRNA Target misc miRNA Sequence misc Plant miRNAs misc miRNA Candidate misc Mature miRNA Sequence
topic_unstemmed	misc miRNA Target misc miRNA Sequence misc Plant miRNAs misc miRNA Candidate misc Mature miRNA Sequence
topic_browse	misc miRNA Target misc miRNA Sequence misc Plant miRNAs misc miRNA Candidate misc Mature miRNA Sequence
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
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title	MicroPC (μPC): A comprehensive resource for predicting and comparing plant microRNAs
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title_full	MicroPC (μPC): A comprehensive resource for predicting and comparing plant microRNAs
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author_browse	Mhuantong, Wuttichai Wichadakul, Duangdao
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author-letter	Mhuantong, Wuttichai
doi_str_mv	10.1186/1471-2164-10-366
title_sort	micropc (μpc): a comprehensive resource for predicting and comparing plant micrornas
title_auth	MicroPC (μPC): A comprehensive resource for predicting and comparing plant microRNAs
abstract	Background Plant microRNA (miRNA) has an important role in controlling gene regulation in various biological processes such as cell development, signal transduction, and environmental responses. While information on plant miRNAs and their targets is widely available, accessible online plant miRNA resources are limited; most of them are intended for economically important crops or plant model organisms. With abundant sequence data of numerous plants in public databases such as NCBI and PlantGDB, the identification of their miRNAs and targets would benefit researchers as a central resource for the comparative studies of plant miRNAs. Results MicroPC (μPC) is an online plant miRNA resource resulted from large-scale Expressed Sequence Tag (EST) analysis. It consists of 4,006 potential miRNA candidates in 128 families of 125 plant species and 2,995 proteins (4,953 EST sequences) potentially targeted by 78 families of miRNA candidates. In addition, it is incorporated with 1,727 previously reported plant mature miRNA sequences from miRBase. The μPC enables users to compare stored mature or precursor miRNAs and user-supplied sequences among plant species. The search utility allows users to investigate the predicted miRNAs and miRNA targets in detail via various search options such as miRNA family and plant species. To enhance the database usage, the prediction utility provides interactive steps for determining a miRNA or miRNA targets from an input nucleotide sequence and links the prediction results to their homologs in the μPC. Conclusion The μPC constitutes the first online resource that enables users to comprehensively compare and predict plant miRNAs and their targets. It imparts a basis for further research on revealing miRNA conservation, function, and evolution across plant species and classification. The μPC is available at http://www.biotec.or.th/isl/micropc. © Mhuantong and Wichadakul; licensee BioMed Central Ltd. 2009
abstractGer	Background Plant microRNA (miRNA) has an important role in controlling gene regulation in various biological processes such as cell development, signal transduction, and environmental responses. While information on plant miRNAs and their targets is widely available, accessible online plant miRNA resources are limited; most of them are intended for economically important crops or plant model organisms. With abundant sequence data of numerous plants in public databases such as NCBI and PlantGDB, the identification of their miRNAs and targets would benefit researchers as a central resource for the comparative studies of plant miRNAs. Results MicroPC (μPC) is an online plant miRNA resource resulted from large-scale Expressed Sequence Tag (EST) analysis. It consists of 4,006 potential miRNA candidates in 128 families of 125 plant species and 2,995 proteins (4,953 EST sequences) potentially targeted by 78 families of miRNA candidates. In addition, it is incorporated with 1,727 previously reported plant mature miRNA sequences from miRBase. The μPC enables users to compare stored mature or precursor miRNAs and user-supplied sequences among plant species. The search utility allows users to investigate the predicted miRNAs and miRNA targets in detail via various search options such as miRNA family and plant species. To enhance the database usage, the prediction utility provides interactive steps for determining a miRNA or miRNA targets from an input nucleotide sequence and links the prediction results to their homologs in the μPC. Conclusion The μPC constitutes the first online resource that enables users to comprehensively compare and predict plant miRNAs and their targets. It imparts a basis for further research on revealing miRNA conservation, function, and evolution across plant species and classification. The μPC is available at http://www.biotec.or.th/isl/micropc. © Mhuantong and Wichadakul; licensee BioMed Central Ltd. 2009
abstract_unstemmed	Background Plant microRNA (miRNA) has an important role in controlling gene regulation in various biological processes such as cell development, signal transduction, and environmental responses. While information on plant miRNAs and their targets is widely available, accessible online plant miRNA resources are limited; most of them are intended for economically important crops or plant model organisms. With abundant sequence data of numerous plants in public databases such as NCBI and PlantGDB, the identification of their miRNAs and targets would benefit researchers as a central resource for the comparative studies of plant miRNAs. Results MicroPC (μPC) is an online plant miRNA resource resulted from large-scale Expressed Sequence Tag (EST) analysis. It consists of 4,006 potential miRNA candidates in 128 families of 125 plant species and 2,995 proteins (4,953 EST sequences) potentially targeted by 78 families of miRNA candidates. In addition, it is incorporated with 1,727 previously reported plant mature miRNA sequences from miRBase. The μPC enables users to compare stored mature or precursor miRNAs and user-supplied sequences among plant species. The search utility allows users to investigate the predicted miRNAs and miRNA targets in detail via various search options such as miRNA family and plant species. To enhance the database usage, the prediction utility provides interactive steps for determining a miRNA or miRNA targets from an input nucleotide sequence and links the prediction results to their homologs in the μPC. Conclusion The μPC constitutes the first online resource that enables users to comprehensively compare and predict plant miRNAs and their targets. It imparts a basis for further research on revealing miRNA conservation, function, and evolution across plant species and classification. The μPC is available at http://www.biotec.or.th/isl/micropc. © Mhuantong and Wichadakul; licensee BioMed Central Ltd. 2009
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title_short	MicroPC (μPC): A comprehensive resource for predicting and comparing plant microRNAs
url	https://dx.doi.org/10.1186/1471-2164-10-366
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MicroPC (μPC): A comprehensive resource for predicting and comparing plant microRNAs

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Zugang & Verfügbarkeit

Vorhandene Bände

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