We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
hapbin: An Efficient Program for Performing Haplotype-Based Scans for Positive Selection in Large Genomic Datasets.
- Authors
Maclean, Colin A.; Hong, Neil P. Chue; Prendergast, James G. D.
- Abstract
Understanding how the genome is shaped by selective processes forms an integral part of modern biology. However, as genomic datasets continue to grow larger it is becoming increasingly difficult to apply traditional statistics for detecting signatures of selection to these cohorts. There is therefore a pressing need for the development of the next generation of computational and analytical tools for detecting signatures of selection in large genomic datasets. Here, we present hapbin, an efficient multithreaded implementation of extended haplotype homzygosity-based statistics for detecting selection, which is up to 3,400 times faster than the current fastest implementations of these algorithms.
- Publication
Molecular Biology & Evolution, 2015, Vol 32, Issue 11, p3027
- ISSN
0737-4038
- Publication type
Article
- DOI
10.1093/molbev/msv172