Title
ContextMap 2: fast and accurate context-based RNA-seq mapping.
Abstract
Mapping of short sequencing reads is a crucial step in the analysis of RNA sequencing (RNA-seq) data. ContextMap is an RNA-seq mapping algorithm that uses a context-based approach to identify the best alignment for each read and allows parallel mapping against several reference genomes.In this article, we present ContextMap 2, a new and improved version of ContextMap. Its key novel features are: (i) a plug-in structure that allows easily integrating novel short read alignment programs with improved accuracy and runtime; (ii) context-based identification of insertions and deletions (indels); (iii) mapping of reads spanning an arbitrary number of exons and indels. ContextMap 2 using Bowtie, Bowtie 2 or BWA was evaluated on both simulated and real-life data from the recently published RGASP study.We show that ContextMap 2 generally combines similar or higher recall compared to other state-of-the-art approaches with significantly higher precision in read placement and junction and indel prediction. Furthermore, runtime was significantly lower than for the best competing approaches. ContextMap 2 is freely available at http://www.bio.ifi.lmu.de/ContextMap .
Year
DOI
Venue
2015
10.1186/s12859-015-0557-5
BMC Bioinformatics
Keywords
Field
DocType
microarrays,algorithms,bioinformatics
Genome,RNA,RNA-Seq,Biology,Context based,RNA splicing,Genome human,Bioinformatics,Mapping algorithm,Genetics,DNA microarray
Journal
Volume
Issue
ISSN
16
1
1471-2105
Citations 
PageRank 
References 
3
0.45
6
Authors
5
Name
Order
Citations
PageRank
Thomas Bonfert130.45
Evelyn Kirner230.45
Gergely Csaba3897.60
Ralf Zimmer426928.70
Caroline C Friedel518011.21