Cargando…

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...

Descripción completa

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
_version_ 1782439353929170944
author Nicholls, Samuel M.
Clare, Amanda
Randall, Joshua C.
author_facet Nicholls, Samuel M.
Clare, Amanda
Randall, Joshua C.
author_sort Nicholls, Samuel M.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-4920124
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-49201242016-06-27 Goldilocks: a tool for identifying genomic regions that are ‘just right’ Nicholls, Samuel M. Clare, Amanda Randall, Joshua C. Bioinformatics Applications Notes 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. Oxford University Press 2016-07-01 2016-03-07 /pmc/articles/PMC4920124/ /pubmed/27153673 http://dx.doi.org/10.1093/bioinformatics/btw116 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Nicholls, Samuel M.
Clare, Amanda
Randall, Joshua C.
Goldilocks: a tool for identifying genomic regions that are ‘just right’
title Goldilocks: a tool for identifying genomic regions that are ‘just right’
title_full Goldilocks: a tool for identifying genomic regions that are ‘just right’
title_fullStr Goldilocks: a tool for identifying genomic regions that are ‘just right’
title_full_unstemmed Goldilocks: a tool for identifying genomic regions that are ‘just right’
title_short Goldilocks: a tool for identifying genomic regions that are ‘just right’
title_sort goldilocks: a tool for identifying genomic regions that are ‘just right’
topic Applications Notes
url 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
work_keys_str_mv AT nichollssamuelm goldilocksatoolforidentifyinggenomicregionsthatarejustright
AT clareamanda goldilocksatoolforidentifyinggenomicregionsthatarejustright
AT randalljoshuac goldilocksatoolforidentifyinggenomicregionsthatarejustright