RNA序列
计算生物学
生物
基因
软件
基因注释
计算机科学
转录组
核糖核酸
基因组学
基因表达
基因组
遗传学
程序设计语言
作者
Mihaela Pertea,Daehwan Kim,Geo Pertea,Jeffrey T. Leek,Steven L. Salzberg
出处
期刊:Nature Protocols
[Springer Nature]
日期:2016-08-11
卷期号:11 (9): 1650-1667
被引量:5033
标识
DOI:10.1038/nprot.2016.095
摘要
Pertea et al. describe a protocol to analyze RNA-seq data using HISAT, StringTie and Ballgown (the ‘new Tuxedo’ package). The protocol can be used for assembly of transcripts, quantification of gene expression levels and differential expression analysis. High-throughput sequencing of mRNA (RNA-seq) has become the standard method for measuring and comparing the levels of gene expression in a wide variety of species and conditions. RNA-seq experiments generate very large, complex data sets that demand fast, accurate and flexible software to reduce the raw read data to comprehensible results. HISAT (hierarchical indexing for spliced alignment of transcripts), StringTie and Ballgown are free, open-source software tools for comprehensive analysis of RNA-seq experiments. Together, they allow scientists to align reads to a genome, assemble transcripts including novel splice variants, compute the abundance of these transcripts in each sample and compare experiments to identify differentially expressed genes and transcripts. This protocol describes all the steps necessary to process a large set of raw sequencing reads and create lists of gene transcripts, expression levels, and differentially expressed genes and transcripts. The protocol's execution time depends on the computing resources, but it typically takes under 45 min of computer time. HISAT, StringTie and Ballgown are available from http://ccb.jhu.edu/software.shtml .
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