DEGseq: an R package for identifying differentially expressed genes from RNA-seq data Export

@article{citeulike:6008520, abstract = {Summary: High-throughput RNA sequencing (RNA-seq) is rapidly emerging as a major quantitative transcriptome profiling platform. Here, we present DEGseq, an R package to identify differentially expressed genes or isoforms for RNA-seq data from different samples. In this package, we integrated three existing methods, and introduced two novel methods based on MA-plot to detect and visualize gene expression difference. Availability: The R package and a quick-start vignette is available at http://bioinfo.au.tsinghua.edu.cn/software/degseq Contact: xwwang@tsinghua.edu.cn; zhangxg@tsinghua.edu.cn Supplementary information: Supplementary data are available at Bioinformatics online. 10.1093/bioinformatics/btp612}, author = {Wang, Likun and Feng, Zhixing and Wang, Xi and Wang, Xiaowo and Zhang, Xuegong}, booktitle = {Bioinformatics}, citeulike-article-id = {6008520}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/bioinformatics/btp612}, citeulike-linkout-1 = {http://bioinformatics.oxfordjournals.org/content/btp612v1/.abstract}, citeulike-linkout-2 = {http://bioinformatics.oxfordjournals.org/content/btp612v1/.full.pdf}, citeulike-linkout-3 = {http://bioinformatics.oxfordjournals.org/cgi/content/abstract/26/1/136}, citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/19855105}, citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=19855105}, day = {1}, doi = {10.1093/bioinformatics/btp612}, issn = {1460-2059}, journal = {Bioinformatics}, keywords = {rna-seq}, month = {January}, number = {1}, pages = {136--138}, posted-at = {2009-10-27 16:47:51}, priority = {2}, title = {DEGseq: an R package for identifying differentially expressed genes from RNA-seq data}, url = {http://dx.doi.org/10.1093/bioinformatics/btp612}, volume = {26}, year = {2010} }

TY - JOUR ID - citeulike:6008520 L3 - citeulike-article-id:6008520 N2 - Summary: High-throughput RNA sequencing (RNA-seq) is rapidly emerging as a major quantitative transcriptome profiling platform. Here, we present DEGseq, an R package to identify differentially expressed genes or isoforms for RNA-seq data from different samples. In this package, we integrated three existing methods, and introduced two novel methods based on MA-plot to detect and visualize gene expression difference. Availability: The R package and a quick-start vignette is available at http://bioinfo.au.tsinghua.edu.cn/software/degseq Contact: xwwang@tsinghua.edu.cn; zhangxg@tsinghua.edu.cn Supplementary information: Supplementary data are available at Bioinformatics online. 10.1093/bioinformatics/btp612 IS - 1 JF - Bioinformatics SN - 1460-2059 EP - 138 TI - DEGseq: an R package for identifying differentially expressed genes from RNA-seq data VL - 26 T2 - Bioinformatics SP - 136 KW - rna-seq AU - Wang, Likun AU - Feng, Zhixing AU - Wang, Xi AU - Wang, Xiaowo AU - Zhang, Xuegong PY - 2010/01/01/ UR - http://dx.doi.org/10.1093/bioinformatics/btp612 ER -