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

: 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...

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Bibliographic Details
Published in:Bioinformatics 2016-07, Vol.32 (13), p.2047-2049
Main Authors: Nicholls, Samuel M, Clare, Amanda, Randall, Joshua C
Format: Article
Language:English
Subjects:
Applications Notes
Bioinformatics
Computational Biology - methods
Computer programs
Genomes
Genomics - methods
Packages
Software
Source code
Statistics
Summaries
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Summary:: 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. Goldilocks 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.org : msn@aber.ac.uk Supplementary data are available at Bioinformatics online.
ISSN:1367-4803
1367-4811
1460-2059
DOI:10.1093/bioinformatics/btw116