PICKLES v3: the updated database of pooled in vitro CRISPR knockout library essentiality screens

PICKLES (https://pickles.hart-lab.org) is an updated web interface to a freely available database of genome-scale CRISPR knockout fitness screens in human cell lines. Using a completely rewritten interface, researchers can explore gene knockout fitness phenotypes across cell lines and tissue types a...

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Detalles Bibliográficos
Autores principales: Novak, Lance C, Chou, Juihsuan, Colic, Medina, Bristow, Christopher A, Hart, Traver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Database Issue
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825567/
https://www.ncbi.nlm.nih.gov/pubmed/36350677
http://dx.doi.org/10.1093/nar/gkac982
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author Novak, Lance C
Chou, Juihsuan
Colic, Medina
Bristow, Christopher A
Hart, Traver
author_facet Novak, Lance C
Chou, Juihsuan
Colic, Medina
Bristow, Christopher A
Hart, Traver
author_sort Novak, Lance C
collection PubMed
description PICKLES (https://pickles.hart-lab.org) is an updated web interface to a freely available database of genome-scale CRISPR knockout fitness screens in human cell lines. Using a completely rewritten interface, researchers can explore gene knockout fitness phenotypes across cell lines and tissue types and compare fitness profiles with fitness, expression, or mutation profiles of other genes. The database has been updated to include data from three CRISPR libraries (Avana, Score, and TKOv3), and includes information from 1162 whole-genome screens probing the knockout fitness phenotype of 18 959 genes. Source code for the interface and the integrated database are available for download.
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spelling pubmed-98255672023-01-10 PICKLES v3: the updated database of pooled in vitro CRISPR knockout library essentiality screens Novak, Lance C Chou, Juihsuan Colic, Medina Bristow, Christopher A Hart, Traver Nucleic Acids Res Database Issue PICKLES (https://pickles.hart-lab.org) is an updated web interface to a freely available database of genome-scale CRISPR knockout fitness screens in human cell lines. Using a completely rewritten interface, researchers can explore gene knockout fitness phenotypes across cell lines and tissue types and compare fitness profiles with fitness, expression, or mutation profiles of other genes. The database has been updated to include data from three CRISPR libraries (Avana, Score, and TKOv3), and includes information from 1162 whole-genome screens probing the knockout fitness phenotype of 18 959 genes. Source code for the interface and the integrated database are available for download. Oxford University Press 2022-11-09 /pmc/articles/PMC9825567/ /pubmed/36350677 http://dx.doi.org/10.1093/nar/gkac982 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Novak, Lance C
Chou, Juihsuan
Colic, Medina
Bristow, Christopher A
Hart, Traver
PICKLES v3: the updated database of pooled in vitro CRISPR knockout library essentiality screens
title PICKLES v3: the updated database of pooled in vitro CRISPR knockout library essentiality screens
title_full PICKLES v3: the updated database of pooled in vitro CRISPR knockout library essentiality screens
title_fullStr PICKLES v3: the updated database of pooled in vitro CRISPR knockout library essentiality screens
title_full_unstemmed PICKLES v3: the updated database of pooled in vitro CRISPR knockout library essentiality screens
title_short PICKLES v3: the updated database of pooled in vitro CRISPR knockout library essentiality screens
title_sort pickles v3: the updated database of pooled in vitro crispr knockout library essentiality screens
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825567/
https://www.ncbi.nlm.nih.gov/pubmed/36350677
http://dx.doi.org/10.1093/nar/gkac982
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