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

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 defini...

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Detalles Bibliográficos
Autores principales: Nicholls, Samuel M., Clare, Amanda, Randall, Joshua C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4920124/
https://www.ncbi.nlm.nih.gov/pubmed/27153673
http://dx.doi.org/10.1093/bioinformatics/btw116
Descripción
Sumario: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.