Goldilocks: A tool for identifying genomic regions that are ‘just right’

Research output: Contribution to journalArticle

Authors

Colleges, School and Institutes

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 user-provided 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.

Contact: msn@aber.ac.uk

Supplementary information: Supplementary data are available at Bioinformatics online.

Details

Original languageEnglish
JournalBioinformatics
Publication statusPublished - 1 Jul 2016