UTAP: User-friendly Transcriptome Analysis Pipeline

被引:88
|
作者
Kohen, Refael [1 ]
Barlev, Jonathan [2 ,3 ]
Hornung, Gil [2 ,3 ]
Stelzer, Gil [1 ]
Feldmesser, Ester [1 ]
Kogan, Kiril [1 ]
Safran, Marilyn [1 ]
Leshkowitz, Dena [1 ]
机构
[1] Weizmann Inst Sci, Dept Life Sci Core Facil, Bioinformat Unit, IL-76100 Rehovot, Israel
[2] Weizmann Inst Sci, Mantoux Bioinformat Inst Nancy, IL-76100 Rehovot, Israel
[3] Weizmann Inst Sci, Stephen Grand Israel Natl Ctr Personalized Med, Dept Life Sci Core Facil, IL-76100 Rehovot, Israel
来源
BMC BIOINFORMATICS | 2019年 / 20卷
关键词
NGS; Transcriptome; RNA-Seq; Sequence analysis pipeline; Bioinformatics workflow; Differentially expressed genes; Genome mapping; Bulk MARS-Seq; UMI (unique molecular identifier); Gene expression profile; Normalization; RNA-SEQ;
D O I
10.1186/s12859-019-2728-2
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
RNA-Seq technology is routinely used to characterize the transcriptome, and to detect gene expression differences among cell types, genotypes and conditions. Advances in short-read sequencing instruments such as Illumina Next-Seq have yielded easy-to-operate machines, with high throughput, at a lower price per base. However, processing this data requires bioinformatics expertise to tailor and execute specific solutions for each type of library preparation. In order to enable fast and user-friendly data analysis, we developed an intuitive and scalable transcriptome pipeline that executes the full process, starting from cDNA sequences derived by RNA-Seq [Nat Rev Genet 10:57-63, 2009] and bulk MARS-Seq [Science 343:776-779, 2014] and ending with sets of differentially expressed genes. Output files are placed in structured folders, and results summaries are provided in rich and comprehensive reports, containing dozens of plots, tables and links. Our User-friendly Transcriptome Analysis Pipeline (UTAP) is an open source, web-based intuitive platform available to the biomedical research community, enabling researchers to efficiently and accurately analyse transcriptome sequence data.
引用
收藏
页数:7
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