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Allelic imbalance metre ( A llim), a new tool for measuring allele‐specific gene expression with RNA ‐seq data
Author(s) -
Pandey Ram Vinay,
Franssen Susanne U.,
Futschik Andreas,
Schlötterer Christian
Publication year - 2013
Publication title -
molecular ecology resources
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.96
H-Index - 136
eISSN - 1755-0998
pISSN - 1755-098X
DOI - 10.1111/1755-0998.12110
Subject(s) - biology , allele , genetics , rna seq , gene , computational biology , gene expression , transcriptome
Estimating differences in gene expression among alleles is of high interest for many areas in biology and medicine. Here, we present a user‐friendly software tool, A llim, to estimate allele‐specific gene expression. Because mapping bias is a major problem for reliable estimates of allele‐specific gene expression using RNA ‐seq, A llim combines two different strategies to account for the mapping biases. In order to reduce the mapping bias, A llim first generates a polymorphism‐aware reference genome that accounts for the sequence variation between the alleles. Then, a sequence‐specific simulation tool estimates the residual mapping bias. Statistical tests for allelic imbalance are provided that can be used with the bias corrected RNA ‐seq data.