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U. Stenzel

dblp:339/7834 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

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
0.512021
Bathometer: lightning fast depth-of-reads query · Bioinform. 2021
Bioinformatics and computational biology › sequence analysis
sequencing data analysis
0.512021
Bathometer: lightning fast depth-of-reads query · Bioinform. 2021

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

BAM file indexing · 0.5
YearPublicationVenuePosition
2021 Bathometer: lightning fast depth-of-reads query
abstract
MOTIVATION: The query for the number of reads overlapping a given region is a common step in the analysis of Illumina sequencing data. Sometimes, these queries are not conveniently precomputable. It seems beneficial to make this kind of arbitrary query as fast and convenient as possible. RESULTS: We present Bathometer, a tool that indexes BAM files in a space efficient way, which allows ad hoc queries for the number of reads overlapping any given genomic region to be answered much more quickly than by counting with common tools such as Samtools, while incurring much less disk I/O. AVAILABILITYAND IMPLEMENTATION: Bathometer is implemented in C, licensed under the GNU General Public License version 3+ and freely downloadable from Bitbucket (https://bitbucket.org/ustenzel/bathometer). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
U. Stenzel, Susanne Horn
Bioinform.1