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Ian Sealy

dblp:30/4902 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
0000-0002-2890-6635ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1

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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis › sequence assembly › genome assembly
assembly quality assessment
0.212016
gEVAL - a web-based browser for evaluating genome assemblies · Bioinform. 2016
Bioinformatics and computational biology › sequence analysis › sequence assembly
genome assembly
0.212016
gEVAL - a web-based browser for evaluating genome assemblies · Bioinform. 2016
Bioinformatics and computational biology › sequence analysis
genomic sequence analysis
0.112016
gEVAL - a web-based browser for evaluating genome assemblies · Bioinform. 2016

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

sequence alignment · 0.2comparative assembly analysis · 0.2
YearPublicationVenuePosition
2016 gEVAL - a web-based browser for evaluating genome assemblies
abstract
MOTIVATION: For most research approaches, genome analyses are dependent on the existence of a high quality genome reference assembly. However, the local accuracy of an assembly remains difficult to assess and improve. The gEVAL browser allows the user to interrogate an assembly in any region of the genome by comparing it to different datasets and evaluating the concordance. These analyses include: a wide variety of sequence alignments, comparative analyses of multiple genome assemblies, and consistency with optical and other physical maps. gEVAL highlights allelic variations, regions of low complexity, abnormal coverage, and potential sequence and assembly errors, and offers strategies for improvement. Although gEVAL focuses primarily on sequence integrity, it can also display arbitrary annotation including from Ensembl or TrackHub sources. We provide gEVAL web sites for many human, mouse, zebrafish and chicken assemblies to support the Genome Reference Consortium, and gEVAL is also downloadable to enable its use for any organism and assembly. AVAILABILITY AND IMPLEMENTATION: Web Browser: http://geval.sanger.ac.uk, Plugin: http://wchow.github.io/wtsi-geval-plugin CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
William Chow, Kim Brügger, Mario Cáccamo, Ian Sealy, James W. Torrance, Kerstin Howe
Bioinform.4