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SplicingTypesAnno:注释和量化 RNA-Seq 数据中的可变剪接事件。

SplicingTypesAnno: annotating and quantifying alternative splicing events for RNA-Seq data.

机构信息

Agricultural Big-Data Research Center, College of Information Science and Engineering, Shandong Agricultural University, Taian, Shandong 271018, China.

College of Information Engineering, Taishan Medical University, Taian, Shandong 271000, China.

出版信息

Comput Methods Programs Biomed. 2015 Apr;119(1):53-62. doi: 10.1016/j.cmpb.2015.02.004. Epub 2015 Feb 14.

Abstract

Alternative splicing plays a key role in the regulation of the central dogma. Four major types of alternative splicing have been classified as intron retention, exon skipping, alternative 5 splice sites or alternative donor sites, and alternative 3 splice sites or alternative acceptor sites. A few algorithms have been developed to detect splice junctions from RNA-Seq reads. However, there are few tools targeting at the major alternative splicing types at the exon/intron level. This type of analysis may reveal subtle, yet important events of alternative splicing, and thus help gain deeper understanding of the mechanism of alternative splicing. This paper describes a user-friendly R package, extracting, annotating and analyzing alternative splicing types for sequence alignment files from RNA-Seq. SplicingTypesAnno can: (1) provide annotation for major alternative splicing at exon/intron level. By comparing the annotation from GTF/GFF file, it identifies the novel alternative splicing sites; (2) offer a convenient two-level analysis: genome-scale annotation for users with high performance computing environment, and gene-scale annotation for users with personal computers; (3) generate a user-friendly web report and additional BED files for IGV visualization. SplicingTypesAnno is a user-friendly R package for extracting, annotating and analyzing alternative splicing types at exon/intron level for sequence alignment files from RNA-Seq. It is publically available at https://sourceforge.net/projects/splicingtypes/files/ or http://genome.sdau.edu.cn/research/software/SplicingTypesAnno.html.

摘要

可变剪接在调控中心法则中起着关键作用。已经将四种主要的可变剪接类型分类为内含子保留、外显子跳跃、5' 剪接位点或供体位点的可变选择、以及 3' 剪接位点或受体位点的可变选择。已经开发了一些算法来从 RNA-Seq reads 中检测剪接接头。然而,针对外显子/内含子水平上主要可变剪接类型的工具很少。这种类型的分析可能揭示可变剪接的微妙但重要的事件,从而帮助更深入地了解可变剪接的机制。本文描述了一个用户友好的 R 包,用于提取、注释和分析 RNA-Seq 序列比对文件中的主要可变剪接类型。SplicingTypesAnno 可以:(1)在外显子/内含子水平上提供主要可变剪接的注释。通过比较 GTF/GFF 文件的注释,它可以识别新的可变剪接位点;(2)提供方便的两级分析:具有高性能计算环境的用户的基因组规模注释,以及具有个人计算机的用户的基因规模注释;(3)生成用户友好的 web 报告和用于 IGV 可视化的附加 BED 文件。SplicingTypesAnno 是一个用户友好的 R 包,用于提取、注释和分析 RNA-Seq 序列比对文件中外显子/内含子水平上的可变剪接类型。它可在 https://sourceforge.net/projects/splicingtypes/files/http://genome.sdau.edu.cn/research/software/SplicingTypesAnno.html 上获得。

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