scispace - formally typeset
Open AccessJournal ArticleDOI

NextGenMap: Fast and accurate read mapping in highly polymorphic genomes

TLDR
NextGenMap is reported, a fast and accurate read mapper, which aligns reads reliably to a reference genome even when the sequence difference between target and reference genome is large, i.e. highly polymorphic genome.
Abstract
Summary: When choosing a read mapper, one faces the trade off between speed and the ability to map reads in highly polymorphic regions. Here, we report NextGenMap, a fast and accurate read mapper, which reduces this dilemma. NextGenMap aligns reads reliably to a reference genome even when the sequence difference between target and reference genome is large, i.e. highly polymorphic genome. At the same time, NextGenMap outperforms current mapping methods with respect to runtime and to the number of correctly mapped reads. NextGenMap efficiently uses the available hardware by exploiting multi-core CPUs as well as graphic cards (GPUs), if available. In addition, NextGenMap handles automatically any read data independent of read length and sequencing technology. Availability: NextGenMap source code and documentation are available at: http://cibiv.github.io/NextGenMap/ Contact: fritz.sedlazeck@univie.ac.at Supplementary information: Supplementary data are available at Bioinformatics online.

read more

Content maybe subject to copyright    Report

Citations
More filters
Posted ContentDOI

Modularity and selection of nectar traits in the evolution of the selfing syndrome in Ipomoea lacunosa (Convolvulaceae)

TL;DR: In this article, the authors investigated whether nectar traits have evolved independently of other floral size traits in the selfing syndrome, whether Nectar traits diverged due to drift or selection, and the extent to which quantitative trait locus (QTL) analyses predict genetic correlations.

MAPPING on UPMEM

TL;DR: Experation on Human genome dataset shows that speed-up of 25 can be obtained with PIM, compared to fast mapping software such as BWA, Bowtie2 or NextGenMap running 16 Intel threads.
Dissertation

Evaluating and Improving Performance of Bisulfite Short Reads Alignment and the Identification of Differentially Methylated Sites

TL;DR: A strategy to improve the mapping efficiencies of the existing bisulfite short reads software by finding unique locations for multireads and modifying the default settings in both WFMM and methylKit to be more tailored to a given methylation profile, thus improving the accuracy of detecting DMCs.
Posted ContentDOI

Analyzing the neutral and adaptive background of butterfly voltinism reveals structural variation in a core circadian gene

TL;DR: A whole-genome approach is used to genetically characterize a set of populations of the butterfly Pararge aegeria that differ in voltinism, and assess genome-wide genetic diversity and differentiation between populations.
Journal ArticleDOI

Audit of laboratory sensitivity of human papillomavirus and cytology testing in a cervical screening program.

TL;DR: In this article, the central cervical screening laboratory of Stockholm, Sweden, identified cases of CIN3+ who had had a previous cervical screening test up to 3 years before and randomly selected 300 cervical liquid-based cytology (LBC) samples for auditing.
References
More filters
Journal ArticleDOI

Fast and accurate short read alignment with Burrows–Wheeler transform

TL;DR: Burrows-Wheeler Alignment tool (BWA) is implemented, a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps.
Journal ArticleDOI

Fast gapped-read alignment with Bowtie 2

TL;DR: Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
Journal ArticleDOI

Genotype and SNP calling from next-generation sequencing data

TL;DR: Recently developed statistical methods both improve and quantify the considerable uncertainty associated with genotype calling, and will especially benefit the growing number of studies using low- to medium-coverage data.
Journal ArticleDOI

Stampy: a statistical algorithm for sensitive and fast mapping of Illumina sequence reads.

TL;DR: A read mapper, Stampy, which uses a hybrid mapping algorithm and a detailed statistical model to achieve both speed and sensitivity, particularly when reads include sequence variation, which results in a higher useable sequence yield and improved accuracy compared to that of existing software.
Journal ArticleDOI

Tools for mapping high-throughput sequencing data

TL;DR: This survey focuses on classifying mappers through a wide number of characteristics to allow practitioners to compare the mappers more easily and find those that are most suitable for their specific problem.
Related Papers (5)