Ontology highlight
ABSTRACT:
SUBMITTER: Kern AD
PROVIDER: S-EPMC5982824 | biostudies-literature | 2018 May
REPOSITORIES: biostudies-literature
Kern Andrew D AD Schrider Daniel R DR
G3 (Bethesda, Md.) 20180531 6
Identifying selective sweeps in populations that have complex demographic histories remains a difficult problem in population genetics. We previously introduced a supervised machine learning approach, S/HIC, for finding both hard and soft selective sweeps in genomes on the basis of patterns of genetic variation surrounding a window of the genome. While S/HIC was shown to be both powerful and precise, the utility of S/HIC was limited by the use of phased genomic data as input. In this report we d ...[more]