A web-based platform for RNA-Seq data analysis and storage: a case study on soybean gene expression experiments.

BINNECK, E.; NASCIMENTO, L. S. do

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Campo DC	Valor	Idioma
dc.contributor.author	BINNECK, E.	pt_BR
dc.contributor.author	NASCIMENTO, L. S. do	pt_BR
dc.date.accessioned	2012-12-18T11:11:11Z	pt_BR
dc.date.available	2012-12-18T11:11:11Z	pt_BR
dc.date.created	2012-12-18	pt_BR
dc.date.issued	2012	pt_BR
dc.identifier.citation	In: INTERNATIONAL CROP SCIENCE CONGRESS, 6., 2012, Bento Gonçalves. [Proceedings...]. [S.l.]: International Crop Science Society, 2012. 1 CD-ROM.	pt_BR
dc.identifier.uri	http://www.alice.cnptia.embrapa.br/alice/handle/doc/943038	pt_BR
dc.description	The availability of the soybean genome sequence and the rapid evolution of DNA sequencing technologies in recent years bring us exciting new promises for scientific discovery and its conversion into required technological breakthroughs in the production and use of soybean. In addition to be a major protein source in animal feeds, soybean is ranked number one among the chief oil crops in the world and is becoming a major crop for biodiesel production. As a leguminous crop, soybean fixes nitrogen in association with Bradyrhizobium, which significantly reduces the needs for ammonium-based fertilizer even in other crops. In this presentation, it will be described using a web-based platform, Soybean Gene Express, for analyzing and storing RNA-Seq data from whole-genome transcription profiling experiments. It will be presented firsthand how Soybean Gene Express supports researchers going from raw data to visual reports comparing the different genes within same sample or comparing gene expression across different biological samples/conditions. Also, it will be explored the power of link-based integration with other sources of biological information and databases such as ontologies, KEGG pathways, Pfam, and others, to uncover the biological meaning of these data. The ultimate goal is to facilitate the discovery of new biological insights into fundamental molecular processes as responses to biotic and abiotic stresses in soybean.	pt_BR
dc.language.iso	eng	eng
dc.rights	openAccess	eng
dc.subject	Bioinformática	pt_BR
dc.title	A web-based platform for RNA-Seq data analysis and storage: a case study on soybean gene expression experiments.	pt_BR
dc.type	Resumo em anais e proceedings	pt_BR
dc.date.updated	2013-03-26T11:11:11Z	pt_BR
dc.subject.thesagro	Soja	pt_BR
dc.subject.thesagro	Gene	pt_BR
dc.subject.thesagro	Genoma	pt_BR
dc.subject.nalthesaurus	Soybeans	pt_BR
dc.subject.nalthesaurus	Gene expression	pt_BR
riaa.ainfo.id	943038	pt_BR
riaa.ainfo.lastupdate	2013-03-26	pt_BR
dc.contributor.institution	ELISEU BINNECK, CNPSO; LUCAS SOARES DO NASCIMENTO.	pt_BR
Aparece nas coleções:	Resumo em anais de congresso (CNPSO)

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