0000000000773247
AUTHOR
A. Hapke
Microsatellite markers for paternity testing in fork-marked lemurs (Phaner furcifer)
We report the development of three new microsatellites and four transferred across-species for fork-marked lemurs ( Phaner furcifer ). Two markers were isolated from Cheirogaleus medius and one from Microcebus murinus . The transferred markers also originate from Cheirogaleus medius and Microcebus murinus . The seven markers were tested on 30 individuals of Phaner furcifer and have proven to be useful for inclusion and exclusion of potential parents. The markers presented here are the first published for application on Phaner furcifer .
GIbPSs: a toolkit for fast and accurate analyses of genotyping-by-sequencing data without a reference genome.
Genotyping-by-sequencing (GBS) and related methods are increasingly used for studies of non-model organisms from population genetic to phylogenetic scales. We present GIbPSs, a new genotyping toolkit for the analysis of data from various protocols such as RAD, double-digest RAD, GBS, and two-enzyme GBS without a reference genome. GIbPSs can handle paired-end GBS data and is able to assign reads from both strands of a restriction fragment to the same locus. GIbPSs is most suitable for population genetic and phylogeographic analyses. It avoids genotyping errors due to indel variation by identifying and discarding affected loci. GIbPSs creates a genotype database that offers rich functionality…
Data from: GIbPSs: a toolkit for fast and accurate analyses of genotyping-by-sequencing data without a reference genome
Genotyping-by-sequencing (GBS) and related methods are increasingly used for studies of non-model organisms from population genetic to phylogenetic scales. We present GIbPSs, a new genotyping toolkit for the analysis of data from various protocols such as RAD, double-digest RAD, GBS, and two-enzyme GBS without a reference genome. GIbPSs can handle paired-end GBS data and is able to assign reads from both strands of a restriction fragment to the same locus. GIbPSs is most suitable for population genetic and phylogeographic analyses. It avoids genotyping errors due to indel variation by identifying and discarding affected loci. GIbPSs creates a genotype database that offers rich functionality…