• Bioinformatics · Jul 2016

    Goldilocks: a tool for identifying genomic regions that are 'just right'.

    • Samuel M Nicholls, Amanda Clare, and Joshua C Randall.
    • Department of Computer Science, Aberystwyth University, Aberystwyth, UK Department of Human Genetics Informatics, Wellcome Trust Sanger Institute, Cambridge, UK.
    • Bioinformatics. 2016 Jul 1; 32 (13): 2047-9.

    Unlabelled: We present Goldilocks: a Python package providing functionality for collecting summary statistics, identifying shifts in variation, discovering outlier regions and locating and extracting interesting regions from one or more arbitrary genomes for further analysis, for a user-provided definition of interesting.Availability And ImplementationGoldilocks is freely available open-source software distributed under the MIT licence. Source code is hosted publicly at https://github.com/SamStudio8/goldilocks and the package may also be installed using pip install goldilocks. Documentation can be found at https://goldilocks.readthedocs.orgContact: msn@aber.ac.ukSupplementary InformationSupplementary data are available at Bioinformatics online.© The Author 2016. Published by Oxford University Press.

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