RNA序列
计算生物学
基因亚型
基因
生物
生物信息学
计算机科学
遗传学
基因表达
转录组
作者
Chi Zhang,Baohong Zhang,Michael S. Vincent,Shanrong Zhao
出处
期刊:Journal of next generation sequencing & applications
[OMICS Publishing Group]
日期:2016-01-01
卷期号:03 (03)
被引量:6
标识
DOI:10.4172/2469-9853.1000140
摘要
In recent years, RNA-seq has emerged as a powerful technology in estimation of gene or transcript expression.'Union-exon' and transcript based approaches are widely used in gene quantification.The 'Union-exon' based approach is simple, but it does not distinguish between isoforms when multiple alternatively spliced transcripts are expressed from the same gene.Because a gene is expressed in one or more transcript isoforms, the transcript based approach is more biologically meaningful than the 'union exon'-based approach.However, estimating the expression of individual isoform is intrinsically challenging because different isoforms of a gene usually have a high proportion of genomic overlap.Recently, a number of tools have been developed for RNA-seq isoform quantification.We review those methods and their main features to serve as guidance for users to choose suitable tools for their specific projects.
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