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KAT: a K-mer analysis toolkit to quality control NGS datasets and genome assemblies

Identifieur interne : 001827 ( Ncbi/Checkpoint ); précédent : 001826; suivant : 001828

KAT: a K-mer analysis toolkit to quality control NGS datasets and genome assemblies

Auteurs : Daniel Mapleson [Royaume-Uni] ; Gonzalo Garcia Accinelli [Royaume-Uni] ; George Kettleborough [Royaume-Uni] ; Jonathan Wright [Royaume-Uni] ; Bernardo J. Clavijo [Royaume-Uni]

Source :

RBID : PMC:5408915

Descripteurs français

English descriptors

Abstract

AbstractMotivation

De novo assembly of whole genome shotgun (WGS) next-generation sequencing (NGS) data benefits from high-quality input with high coverage. However, in practice, determining the quality and quantity of useful reads quickly and in a reference-free manner is not trivial. Gaining a better understanding of the WGS data, and how that data is utilized by assemblers, provides useful insights that can inform the assembly process and result in better assemblies.

Results

We present the K-mer Analysis Toolkit (KAT): a multi-purpose software toolkit for reference-free quality control (QC) of WGS reads and de novo genome assemblies, primarily via their k-mer frequencies and GC composition. KAT enables users to assess levels of errors, bias and contamination at various stages of the assembly process. In this paper we highlight KAT’s ability to provide valuable insights into assembly composition and quality of genome assemblies through pairwise comparison of k-mers present in both input reads and the assemblies.

Availability and Implementation

KAT is available under the GPLv3 license at: https://github.com/TGAC/KAT.

Supplementary information

Supplementary data are available at Bioinformatics online.


Url:
DOI: 10.1093/bioinformatics/btw663
PubMed: 27797770
PubMed Central: 5408915


Affiliations:


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PMC:5408915

Le document en format XML

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