CanSNPer: a hierarchical genotype classifier of clonal pathogens
Author(s) -
Adrian Lärkeryd,
Kerstin Myrtennäs,
Edvin Karlsson,
Chinmay Kumar Dwibedi,
Mats Forsman,
Pär Larsson,
Anders Johansson,
Andreas Sjödin
Publication year - 2014
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btu113
Subject(s) - python (programming language) , documentation , biology , computational biology , genome , source code , dna sequencing , genotype , single nucleotide polymorphism , annotation , computer science , genetics , gene , programming language
Advances in typing methodologies have recently reformed the field of molecular epidemiology of pathogens. The falling cost of sequencing technologies is creating a deluge of whole genome sequencing data that burdens bioinformatics resources and tool development. In particular, single nucleotide polymorphisms in core genomes of pathogens are recognized as the most important markers for inferring genetic relationships because they are evolutionarily stable and amenable to high-throughput detection methods. Sequence data will provide an excellent opportunity to extend our understanding of infectious disease when the challenge of extracting knowledge from available sequence resources is met. Here, we present an efficient and user-friendly genotype classification pipeline, CanSNPer, based on an easily expandable database of predefined canonical single nucleotide polymorphisms.
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