Transcriptome Quantification and Differential Expression from NGS Data

Author(s):  
Olga Glebova ◽  
Yvette Temate-Tiagueu ◽  
Adrian Caciula ◽  
Sahar Al Seesi ◽  
Alexander Artyomenko ◽  
...  
2018 ◽  
Author(s):  
Qi Zhao ◽  
Yubin Xie ◽  
Peng Nie ◽  
Rucheng Diao ◽  
Lichen Sun ◽  
...  

AbstractDifferential expression (DE) analysis is a fundamental task in the downstream analysis of the next-generation sequencing (NGS) data. Up to now, a number of R packages have been developed for detecting differentially expressed genes. Although R language has an interaction-oriented programming design, for many biology researchers, a lack of basic programming skills has greatly hindered the application of these R packages. To address this issue, we developed the Interactive Differential Expression Analyzer (IDEA), a Shiny-based web application integrating the differential expression analysis related R packages into a graphical user interface (GUI), allowing users to run the analysis without writing any new code. A wide variety of charts and tables are generated to facilitate the interpretation of the results. In addition, IDEA also provides a combined analysis framework which helps to reconcile any discrepancy from different computational methods. As a public data analysis server, IDAE is implemented in HTML, CSS and JavaScript, and is freely available at http://idea.renlab.org.


2014 ◽  
pp. n/a-n/a ◽  
Author(s):  
Dong-Joo Cheon ◽  
Ann E. Walts ◽  
Jessica A. Beach ◽  
Jenny Lester ◽  
John S. Bomalaski ◽  
...  

2007 ◽  
Vol 177 (4S) ◽  
pp. 256-256
Author(s):  
Steven Smith ◽  
Gary Oxford ◽  
Dan Theodorescu

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