title: Goldilocks: a tool for identifying genomic regions that are 'just right'.
abstract: : 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.
authors.affiliation: Department of Computer Science, Aberystwyth University, Aberystwyth, UK Department of Human Genetics Informatics, Wellcome Trust Sanger Institute, Cambridge, UK.
authors.forename: Samuel M
authors.initials: SM
authors.lastname: Nicholls
authors.affiliation: Department of Computer Science, Aberystwyth University, Aberystwyth, UK.
authors.forename: Amanda
authors.initials: A
authors.lastname: Clare
authors.affiliation: Department of Human Genetics Informatics, Wellcome Trust Sanger Institute, Cambridge, UK.
authors.forename: Joshua C
authors.initials: JC
authors.lastname: Randall
mesh_terms: D019295:Computational Biology / Q000379:methods*; D023281:Genomics / Q000379:methods*; D012984:Software