Chapter title |
iSeq: Web-Based RNA-seq Data Analysis and Visualization
|
---|---|
Chapter number | 10 |
Book title |
Computational Systems Biology
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7717-8_10 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7716-1, 978-1-4939-7717-8
|
Authors |
Zhang, Chao, Fan, Caoqi, Gan, Jingbo, Zhu, Ping, Kong, Lei, Li, Cheng, Chao Zhang, Caoqi Fan, Jingbo Gan, Ping Zhu, Lei Kong, Cheng Li |
Abstract |
Transcriptome sequencing (RNA-seq) is becoming a standard experimental methodology for genome-wide characterization and quantification of transcripts at single base-pair resolution. However, downstream analysis of massive amount of sequencing data can be prohibitively technical for wet-lab researchers. A functionally integrated and user-friendly platform is required to meet this demand. Here, we present iSeq, an R-based Web server, for RNA-seq data analysis and visualization. iSeq is a streamlined Web-based R application under the Shiny framework, featuring a simple user interface and multiple data analysis modules. Users without programming and statistical skills can analyze their RNA-seq data and construct publication-level graphs through a standardized yet customizable analytical pipeline. iSeq is accessible via Web browsers on any operating system at http://iseq.cbi.pku.edu.cn . |
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Professor | 1 | 6% |
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Unknown | 4 | 24% |