iSeq: Web-Based RNA-seq Data Analysis and Visualization
| Autor: | Lei Kong, Chao Zhang, Ping Zhu, Caoqi Fan, Cheng Li, Jingbo Gan |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Web server Database business.industry Computer science RNA RNA-Seq Construct (python library) computer.software_genre Pipeline (software) Visualization Transcriptome Sequencing Transcriptome 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Data visualization Gene expression Web application business computer 030217 neurology & neurosurgery |
| Zdroj: | Methods in Molecular Biology ISBN: 9781493977161 |
| DOI: | 10.1007/978-1-4939-7717-8_10 |
| Popis: | 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 . |
| Databáze: | OpenAIRE |
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