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Adam Polkinghorne

dblp:175/3952 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · conflict

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 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › biological data visualization
haplotype visualization		 0.212016
HapFlow: visualizing haplotypes in sequencing data · Bioinform. 2016
Bioinformatics and computational biology › sequence analysis
sequencing data analysis		 0.212016
HapFlow: visualizing haplotypes in sequencing data · Bioinform. 2016
Bioinformatics and computational biology
genomics		 0.112016
HapFlow: visualizing haplotypes in sequencing data · Bioinform. 2016
Bioinformatics and computational biology › genomics
variant analysis		 0.112016
HapFlow: visualizing haplotypes in sequencing data · Bioinform. 2016
YearPublicationVenuePosition
2016 HapFlow: visualizing haplotypes in sequencing data
abstract
SUMMARY: HapFlow is a python application for visualizing haplotypes present in sequencing data. It identifies variant profiles present and reads and creates an abstract visual representation of these profiles to make haplotypes easier to identify. AVAILABILITY AND IMPLEMENTATION: HapFlow is freely available (under a GPL license) for download (for Mac OS X, Unix and Microsoft Windows) from github (http://mjsull.github.io/HapFlow). CONTACT: [email protected].
Mitchell J. Sullivan, Nathan L. Bachmann, Peter Timms, Adam Polkinghorne
 Bioinform.4