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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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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 |
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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 |
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