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BMC Bioinformatics

Get credit for your data

Are you holding on to data that you've not yet published? You can get recognition for it by publishing a data note in BMC Research Notes.

Announcement: We are recruiting new Associate Editors

We are recruiting new Associate Editors to join our international Editorial Board, helping to provide expertise on a wide range of subjects within the area of  bioinformatics.

Featured image 5 ADLIBS

Featured article: AD-LIBS: inferring ancestry across hybrid genomes using low-coverage sequence data

This study by Schaefer et al. presents 'AD-LIBS'; a tool that effectively infers ancestry. It can be used when a few individuals are available for comparison, and can be used without requiring variant calling or phasing. The authors apply the tool to datasets for European genomes with Neanderthal ancestry and brown bear genomes with polar bear ancestry. While the ancestry maps relating to human genome agree with published results and global ancestry rates, it was determined for brown bears that there is more polar bear ancestry than was previously reported. AD-LIBS is therefore likely to be useful in studies of non-model or ancient organisms that lack large amounts of genomic DNA and can expand the range of studies in which admixture mapping is a viable tool.

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Aims and scope

BMC Bioinformatics is an open access, peer-reviewed journal  that considers articles on all aspects of the development, testing and novel application of computational and statistical methods for the modeling and analysis of all kinds of biological data, as well as other areas of computational biology.

Editor

Section Editors

Lukasz Kurgan, Section Editor

Structural analysis


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