SPRINT: an SNP-free toolkit for identifying RNA editing sites

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SPRINT: an SNP-free toolkit for identifying RNA editing sites

Motivation RNA editing generates post-transcriptional sequence alterations. Detection of RNA editing sites (RESs) typically requires the filtering of SNVs called from RNA-seq data using an SNP database, an obstacle that is difficult to overcome for most organisms. Results Here, we present a novel method named SPRINT that identifies RESs without the need to filter out SNPs. SPRINT also integra...

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Identification of RNA editing sites in the SNP database

The relationship between human inherited genomic variations and phenotypic differences has been the focus of much research effort in recent years. These studies benefit from millions of single-nucleotide polymorphism (SNP) records available in public databases, such as dbSNP. The importance of identifying false dbSNP records increases with the growing role played by SNPs in linkage analysis for...

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Sequence based identification of RNA editing sites.

RNA editing diversifies the human transcriptome beyond the genomic repertoire. Recent years have proven a strategy based on genomics and computational sequence analysis as a powerful tool for identification and characterization of RNA editing. In particular, analysis of the human transcriptome has resulted in the identification of thousands of A-to-I editing sites within genomic repeats, as wel...

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Computational prediction of RNA editing sites

MOTIVATION Some organisms edit their messenger RNA resulting in differences between the genomic sequence for a gene and the corresponding messenger RNA sequence. This difference complicates experimental and computational attempts to find and study genes in organisms with RNA editing even if the full genomic sequence is known. Nevertheless, knowledge of these editing sites is crucial for underst...

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ژورنال

عنوان ژورنال: Bioinformatics

سال: 2017

ISSN: 1367-4803,1460-2059

DOI: 10.1093/bioinformatics/btx473