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RASER: reads aligner for SNPs and editing sites of RNA
Author(s) -
Jaegyoon Ahn,
Xinshu Xiao
Publication year - 2015
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btv505
Subject(s) - computer science , identification (biology) , computational biology , snp , single nucleotide polymorphism , rna , tree (set theory) , data mining , genetics , biology , gene , genotype , mathematics , mathematical analysis , botany
Accurate identification of genetic variants such as single-nucleotide polymorphisms (SNPs) or RNA editing sites from RNA-Seq reads is important, yet challenging, because it necessitates a very low false-positive rate in read mapping. Although many read aligners are available, no single aligner was specifically developed or tested as an effective tool for SNP and RNA editing prediction.

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