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BMC Bioinformatics

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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.


Section Editors

Lukasz Kurgan, Section Editor

Structural analysis

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2016 Journal Metrics

  • Citation Impact
    2.448 - 2-year Impact Factor
    3.450 - 5-year Impact Factor
    0.946 - Source Normalized Impact per Paper (SNIP)
    1.467 - SCImago Journal Rank (SJR)

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