SNIT: SNP identification for strain typing

• Published in: Source code for biology and medicine Vol. 6; no. 1; p. 14
• Main Authors: Vijaya Satya, Ravi, Zavaljevski, Nela, Reifman, Jaques
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 08.09.2011; BioMed Central
• Subjects: Bacterial genetics; DNA sequencing; Nucleotide sequencing; Single nucleotide polymorphisms; Software Review; United States
• ISSN: 1751-0473; 1751-0473
• DOI: 10.1186/1751-0473-6-14

With ever-increasing numbers of microbial genomes being sequenced, efficient tools are needed to perform strain-level identification of any newly sequenced genome. Here, we present the SNP identification for strain typing (SNIT) pipeline, a fast and accurate software system that compares a newly sequenced bacterial genome with other genomes of the same species to identify single nucleotide polymorphisms (SNPs) and small insertions/deletions (indels). Based on this information, the pipeline analyzes the polymorphic loci present in all input genomes to identify the genome that has the fewest differences with the newly sequenced genome. Similarly, for each of the other genomes, SNIT identifies the input genome with the fewest differences. Results from five bacterial species show that the SNIT pipeline identifies the correct closest neighbor with 75% to 100% accuracy. The SNIT pipeline is available for download at http://www.bhsai.org/snit.html.