管道(软件)
软件
计算机科学
模块化设计
可扩展性
人工智能
DNA测序
数据挖掘
计算生物学
基因
生物
遗传学
数据库
操作系统
程序设计语言
作者
Wandaliz Torres‐García,Siyuan Zheng,Andrey Sivachenko,Rahulsimham Vegesna,Qianghu Wang,Rong Yao,Michael F. Berger,John N. Weinstein,Gad Getz,Roel G.W. Verhaak
出处
期刊:Bioinformatics
[Oxford University Press]
日期:2014-04-01
卷期号:30 (15): 2224-2226
被引量:158
标识
DOI:10.1093/bioinformatics/btu169
摘要
Abstract Summary: Technological advances in high-throughput sequencing necessitate improved computational tools for processing and analyzing large-scale datasets in a systematic automated manner. For that purpose, we have developed PRADA (Pipeline for RNA-Sequencing Data Analysis), a flexible, modular and highly scalable software platform that provides many different types of information available by multifaceted analysis starting from raw paired-end RNA-seq data: gene expression levels, quality metrics, detection of unsupervised and supervised fusion transcripts, detection of intragenic fusion variants, homology scores and fusion frame classification. PRADA uses a dual-mapping strategy that increases sensitivity and refines the analytical endpoints. PRADA has been used extensively and successfully in the glioblastoma and renal clear cell projects of The Cancer Genome Atlas program. Availability and implementation: http://sourceforge.net/projects/prada/ Contact: gadgetz@broadinstitute.org or rverhaak@mdanderson.org Supplementary information: Supplementary data are available at Bioinformatics online.
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