EasyGO: Gene Ontology-based annotation and functional enrichment analysis tool for agronomical species
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* Corresponding author: Zhen Su zhensu@cau.edu.cn
BMC Genomics 2007, 8:246 doi:10.1186/1471-2164-8-246
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BioMed Central: 7 citations
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Research article
Xuan Ma, Baomin Feng, Hong Ma BMC Plant Biology 2012, 12:23 (15 February 2012) |
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Proceedings
Towards reliable isoform quantification using RNA-SEQ data Brian E Howard, Steffen Heber BMC Bioinformatics 2010, 11(Suppl 3):S6 (29 April 2010) |
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Method
Gene ontology analysis for RNA-seq: accounting for selection bias Matthew D Young, Matthew J Wakefield, Gordon K Smyth, Alicia Oshlack Genome Biology 2010, 11:R14 (4 February 2010) GOseq is a method for GO analysis of RNA-seq data that takes into account the length bias inherent in RNA-seq |
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Database
An expression database for roots of the model legume Medicago truncatula under salt stress Daofeng Li, Zhen Su, Jiangli Dong, Tao Wang BMC Genomics 2009, 10:517 (11 November 2009) |
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Proceedings
Comparing gene annotation enrichment tools for functional modeling of agricultural microarray data Bart Berg, Chamali Thanthiriwatte, Prashanti Manda, Susan M Bridges BMC Bioinformatics 2009, 10(Suppl 11):S9 (8 October 2009) |
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Software
ArrayIDer: automated structural re-annotation pipeline for DNA microarrays Bart HJ van den Berg, Jay H Konieczka, Fiona M McCarthy, Shane C Burgess BMC Bioinformatics 2009, 10:30 (23 January 2009) |
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Research article
A spatial dissection of the Arabidopsis floral transcriptome by MPSS Jason A Peiffer, Shail Kaushik, Hajime Sakai, Mario Arteaga-Vazquez, Nidia Sanchez-Leon, Hassan Ghazal, Jean-Philippe Vielle-Calzada, Blake C Meyers BMC Plant Biology 2008, 8:43 (21 April 2008) Massively parallel signature sequencing (MPSS) of Arabidopsis flowers shows organ-enriched gene expression, particularly in the sexual reproductive organs, and could provide an effective method for exploring more complex floral development networks.
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