Cargando…

WGE: a CRISPR database for genome engineering

Summary: The rapid development of CRISPR-Cas9 mediated genome editing techniques has given rise to a number of online and stand-alone tools to find and score CRISPR sites for whole genomes. Here we describe the Wellcome Trust Sanger Institute Genome Editing database (WGE), which uses novel methods t...

Descripción completa

Detalles Bibliográficos
Autores principales: Hodgkins, Alex, Farne, Anna, Perera, Sajith, Grego, Tiago, Parry-Smith, David J., Skarnes, William C., Iyer, Vivek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4565030/
https://www.ncbi.nlm.nih.gov/pubmed/25979474
http://dx.doi.org/10.1093/bioinformatics/btv308
_version_ 1782389541312659456
author Hodgkins, Alex
Farne, Anna
Perera, Sajith
Grego, Tiago
Parry-Smith, David J.
Skarnes, William C.
Iyer, Vivek
author_facet Hodgkins, Alex
Farne, Anna
Perera, Sajith
Grego, Tiago
Parry-Smith, David J.
Skarnes, William C.
Iyer, Vivek
author_sort Hodgkins, Alex
collection PubMed
description Summary: The rapid development of CRISPR-Cas9 mediated genome editing techniques has given rise to a number of online and stand-alone tools to find and score CRISPR sites for whole genomes. Here we describe the Wellcome Trust Sanger Institute Genome Editing database (WGE), which uses novel methods to compute, visualize and select optimal CRISPR sites in a genome browser environment. The WGE database currently stores single and paired CRISPR sites and pre-calculated off-target information for CRISPRs located in the mouse and human exomes. Scoring and display of off-target sites is simple, and intuitive, and filters can be applied to identify high-quality CRISPR sites rapidly. WGE also provides a tool for the design and display of gene targeting vectors in the same genome browser, along with gene models, protein translation and variation tracks. WGE is open, extensible and can be set up to compute and present CRISPR sites for any genome. Availability and implementation: The WGE database is freely available at www.sanger.ac.uk/htgt/wge Contact: vvi@sanger.ac.uk or skarnes@sanger.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online.
format Online
Article
Text
id pubmed-4565030
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-45650302015-09-18 WGE: a CRISPR database for genome engineering Hodgkins, Alex Farne, Anna Perera, Sajith Grego, Tiago Parry-Smith, David J. Skarnes, William C. Iyer, Vivek Bioinformatics Applications Notes Summary: The rapid development of CRISPR-Cas9 mediated genome editing techniques has given rise to a number of online and stand-alone tools to find and score CRISPR sites for whole genomes. Here we describe the Wellcome Trust Sanger Institute Genome Editing database (WGE), which uses novel methods to compute, visualize and select optimal CRISPR sites in a genome browser environment. The WGE database currently stores single and paired CRISPR sites and pre-calculated off-target information for CRISPRs located in the mouse and human exomes. Scoring and display of off-target sites is simple, and intuitive, and filters can be applied to identify high-quality CRISPR sites rapidly. WGE also provides a tool for the design and display of gene targeting vectors in the same genome browser, along with gene models, protein translation and variation tracks. WGE is open, extensible and can be set up to compute and present CRISPR sites for any genome. Availability and implementation: The WGE database is freely available at www.sanger.ac.uk/htgt/wge Contact: vvi@sanger.ac.uk or skarnes@sanger.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2015-09-15 2015-05-14 /pmc/articles/PMC4565030/ /pubmed/25979474 http://dx.doi.org/10.1093/bioinformatics/btv308 Text en © The Author 2015. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Applications Notes
Hodgkins, Alex
Farne, Anna
Perera, Sajith
Grego, Tiago
Parry-Smith, David J.
Skarnes, William C.
Iyer, Vivek
WGE: a CRISPR database for genome engineering
title WGE: a CRISPR database for genome engineering
title_full WGE: a CRISPR database for genome engineering
title_fullStr WGE: a CRISPR database for genome engineering
title_full_unstemmed WGE: a CRISPR database for genome engineering
title_short WGE: a CRISPR database for genome engineering
title_sort wge: a crispr database for genome engineering
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4565030/
https://www.ncbi.nlm.nih.gov/pubmed/25979474
http://dx.doi.org/10.1093/bioinformatics/btv308
work_keys_str_mv AT hodgkinsalex wgeacrisprdatabaseforgenomeengineering
AT farneanna wgeacrisprdatabaseforgenomeengineering
AT pererasajith wgeacrisprdatabaseforgenomeengineering
AT gregotiago wgeacrisprdatabaseforgenomeengineering
AT parrysmithdavidj wgeacrisprdatabaseforgenomeengineering
AT skarneswilliamc wgeacrisprdatabaseforgenomeengineering
AT iyervivek wgeacrisprdatabaseforgenomeengineering