We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Software for selecting the most informative sets of genomic loci for multi-target microbial typing.
- Authors
O'Sullivan, Matthew V N; Sintchenko, Vitali; Gilbert, Gwendolyn L
- Abstract
High-throughput sequencing can identify numerous potential genomic targets for microbial strain typing, but identification of the most informative combinations requires the use of computational screening tools. This paper describes novel software-- Automated Selection of Typing Target Subsets (AuSeTTS)--that allows intelligent selection of optimal targets for pathogen strain typing. The objective of this software is to maximise both discriminatory power, using Simpson's index of diversity (D), and concordance with existing typing methods, using the adjusted Wallace coefficient (AW). The program interrogates molecular typing results for panels of isolates, based on large target sets, and iteratively examines each target, one-by-one, to determine the most informative subset.
- Publication
BMC bioinformatics, 2013, Vol 14, p148
- ISSN
1471-2105
- Publication type
Journal Article
- DOI
10.1186/1471-2105-14-148