Journal
BIOINFORMATICS
Volume 30, Issue 12, Pages 1762-1764Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btu113
Keywords
-
Categories
Funding
- Swedish Ministry of Foreign Affairs [A4952]
- Swedish Civil Contingencies Agency [B4055]
- Swedish Ministry of Defence [A4040]
- Umea University
- Vasterbotten County Council
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available