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Alex Hodgkins

dblp:168/1126 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics › genomic data management
genome database
0.212015
WGE: a CRISPR database for genome engineering · Bioinform. 2015
Bioinformatics and computational biology
genome engineering
0.212015
WGE: a CRISPR database for genome engineering · Bioinform. 2015

Methods — techniques the papers use, named apart from their topics

off-target scoring · 0.2
YearPublicationVenuePosition
2015 WGE: a CRISPR database for genome engineering
abstract
UNLABELLED: 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: : [email protected] or [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Alex Hodgkins, Anna Farne, Sajith Perera, Tiago Grego, David J. Parry-Smith, William C. Skarnes, Vivek Iyer
Bioinform.1