Ontology highlight
ABSTRACT: Motivation
In many organisms, including humans, recombination clusters within recombination hotspots. The standard method for de novo detection of recombinants at hotspots is sperm typing. This relies on allele-specific PCR at single nucleotide polymorphisms. Designing allele-specific primers by hand is time-consuming. We have therefore written a package to support hotspot detection and analysis.Results
hotspot consists of four programs: asp looks up SNPs and designs allele-specific primers; aso constructs allele-specific oligos for mapping recombinants; xov implements a maximum-likelihood method for estimating the crossover rate; six, finally, simulates typing data.Availability and implementation
hotspot is written in C. Sources are freely available under the GNU General Public License from http://github.com/evolbioinf/hotspot/Contact
haubold@evolbio.mpg.deSupplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Odenthal-Hesse L
PROVIDER: S-EPMC4978934 | biostudies-literature | 2016 Aug
REPOSITORIES: biostudies-literature

Odenthal-Hesse Linda L Dutheil Julien Y JY Klötzl Fabian F Haubold Bernhard B
Bioinformatics (Oxford, England) 20160413 16
<h4>Motivation</h4>In many organisms, including humans, recombination clusters within recombination hotspots. The standard method for de novo detection of recombinants at hotspots is sperm typing. This relies on allele-specific PCR at single nucleotide polymorphisms. Designing allele-specific primers by hand is time-consuming. We have therefore written a package to support hotspot detection and analysis.<h4>Results</h4>hotspot consists of four programs: asp looks up SNPs and designs allele-speci ...[more]