Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Kerstin Howe

dblp:80/251 · also Kerstin Jekosch · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0003-2237-513XORCID · verified

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

Applied, interdisciplinary, general and emerging computing · 2

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
2 papers
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
0.722020
Identifying and removing haplotypic duplication in primary genome assemblies · Bioinform. 2020
gEVAL - a web-based browser for evaluating genome assemblies · Bioinform. 2016
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
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 similarity · 0.4read depth analysis · 0.4sequence alignment · 0.2comparative assembly analysis · 0.2
YearPublicationVenuePosition
2020 Identifying and removing haplotypic duplication in primary genome assemblies
abstract
MOTIVATION: Rapid development in long-read sequencing and scaffolding technologies is accelerating the production of reference-quality assemblies for large eukaryotic genomes. However, haplotype divergence in regions of high heterozygosity often results in assemblers creating two copies rather than one copy of a region, leading to breaks in contiguity and compromising downstream steps such as gene annotation. Several tools have been developed to resolve this problem. However, they either focus only on removing contained duplicate regions, also known as haplotigs, or fail to use all the relevant information and hence make errors. RESULTS: Here we present a novel tool, purge_dups, that uses sequence similarity and read depth to automatically identify and remove both haplotigs and heterozygous overlaps. In comparison with current tools, we demonstrate that purge_dups can reduce heterozygous duplication and increase assembly continuity while maintaining completeness of the primary assembly. Moreover, purge_dups is fully automatic and can easily be integrated into assembly pipelines. AVAILABILITY AND IMPLEMENTATION: The source code is written in C and is available at https://github.com/dfguan/purge_dups. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Dengfeng Guan, Shane A. McCarthy, Jonathan Wood, Kerstin Howe, Yadong Wang 0001, Richard Durbin
Bioinform.4
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.6