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

Samuel M. Nicholls; Amanda Clare; Joshua Randall

doi:10.1093/bioinformatics/btw116

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

Samuel M. Nicholls, Amanda Clare, Joshua Randall

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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.

Iaith wreiddiol	Saesneg
Tudalennau (o-i)	2047-2049
Nifer y tudalennau	3
Cyfnodolyn	Bioinformatics
Cyfrol	32
Rhif cyhoeddi	13
Dyddiad ar-lein cynnar	07 Maw 2016
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1093/bioinformatics/btw116
Statws	Cyhoeddwyd - 01 Gorff 2016

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10.1093/bioinformatics/btw116Trwydded: CC BY

Goldilocks: a tool for identifying genomic regions that are 'just right'Fersiwn derfynol wedi’i chyhoeddi, 83.7 KBTrwydded: CC BY

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title = "Goldilocks: A tool for identifying genomic regions that are {\textquoteleft}just right{\textquoteright}",

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.",

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author = "Nicholls, {Samuel M.} and Amanda Clare and Joshua Randall",

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year = "2016",

month = jul,

day = "1",

doi = "10.1093/bioinformatics/btw116",

language = "English",

volume = "32",

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T2 - A tool for identifying genomic regions that are ‘just right’

AU - Nicholls, Samuel M.

AU - Clare, Amanda

AU - Randall, Joshua

N1 - Publisher Copyright: © The Author 2016.

PY - 2016/7/1

Y1 - 2016/7/1

N2 - 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.

AB - 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.

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KW - genome

KW - Software

KW - Computational Biology/methods

KW - Genomics/methods

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JO - Bioinformatics

JF - Bioinformatics

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

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