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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.

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Citations
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Exploring a Pool-seq-only approach for gaining population genomic insights in nonmodel species.

TL;DR: The Pool‐seq‐only approach can be suitable for detecting and quantifying genome‐wide population differentiation, and for comparing genomic diversity in populations of nonmodel species where reference genomes are lacking.
Journal ArticleDOI

Contemporary evolution of maize landraces and their wild relatives influenced by gene flow with modern maize varieties

TL;DR: It is shown here that regulations promoting the adoption of modern cultivars can promote rapid changes in the genetic pools of indigenous landraces (LRs) and crop wild relatives (WRs) and should foster monitoring strategies and policies that use and safeguard the genetic diversity of maize and its WRs at their center of origin.
Journal ArticleDOI

Analysis of Theileria orientalis draft genome sequences reveals potential species-level divergence of the Ikeda, Chitose and Buffeli genotypes

TL;DR: In this paper, the authors compared the draft genomes of one pathogenic (Ikeda) and two apathogenic (Chitose, Buffeli) isolates of T. orientalis sourced from Australian herds.
Journal ArticleDOI

Sex-Biased Gene Expression and Dosage Compensation on the Artemia franciscana Z-Chromosome.

TL;DR: Interestingly, the Z chromosome is not enriched for sex-biased genes, and seems to in fact have a mechanism of dosage compensation that leads to equal expression in males and in females, making A. franciscana an excellent model for investigating the interplay between the evolution of sexual dimorphism and dosage compensation, as well as Z chromosome evolution in general.
Journal ArticleDOI

TRUmiCount: correctly counting absolute numbers of molecules using unique molecular identifiers

TL;DR: The TRUmiCount algorithm is introduced, based on a mechanistic model of PCR amplification and sequencing, whose two parameters have an immediate physical interpretation as PCR efficiency and sequencing depth and can be estimated from experimental data without requiring calibration experiments or spike-ins.
References
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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.
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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.
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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.
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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.
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