Nathan L. Bachmann

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dblp:175/3985 · DBLP profile ↗

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1ranked-venue papers

0as first author

0since 2021 · last 2016

—ORCID · unresolved

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

Topic	Weight	Papers	Last	Evidence papers
Bioinformatics and computational biology › biological data visualization haplotype visualization	0.2	1	2016	HapFlow: visualizing haplotypes in sequencing data · Bioinform. 2016
Bioinformatics and computational biology › sequence analysis sequencing data analysis	0.2	1	2016	HapFlow: visualizing haplotypes in sequencing data · Bioinform. 2016
Bioinformatics and computational biology genomics	0.1	1	2016	HapFlow: visualizing haplotypes in sequencing data · Bioinform. 2016
Bioinformatics and computational biology › genomics variant analysis	0.1	1	2016	HapFlow: visualizing haplotypes in sequencing data · Bioinform. 2016

Year	Publication	Venue	Position
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.	2