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

Authors :
Nicholls, Samuel M.
Clare, Amanda
Randall, Joshua C.
Source :
Bioinformatics. 7/1/2016, Vol. 32 Issue 13, p2047-2049. 3p.
Publication Year :
2016

Abstract

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 userprovided definition of interesting. Availability and implementation: 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13674803
Volume :
32
Issue :
13
Database :
Academic Search Index
Journal :
Bioinformatics
Publication Type :
Academic Journal
Accession number :
116380879
Full Text :
https://doi.org/10.1093/bioinformatics/btw116