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David Grocutt

dblp:135/5900 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

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 › motif discovery
DNA motif discovery
0.212013
cisExpress: motif detection in DNA sequences · Bioinform. 2013
Bioinformatics and computational biology › gene regulation
promoter analysis
0.212013
cisExpress: motif detection in DNA sequences · Bioinform. 2013
Bioinformatics and computational biology › gene regulation
regulatory genomics
0.212013
cisExpress: motif detection in DNA sequences · Bioinform. 2013

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

task farming algorithm · 0.2shared memory parallelization · 0.2
YearPublicationVenuePosition
2013 cisExpress: motif detection in DNA sequences
abstract
MOTIVATION: One of the major challenges for contemporary bioinformatics is the analysis and accurate annotation of genomic datasets to enable extraction of useful information about the functional role of DNA sequences. This article describes a novel genome-wide statistical approach to the detection of specific DNA sequence motifs based on similarities between the promoters of similarly expressed genes. This new tool, cisExpress, is especially designed for use with large datasets, such as those generated by publicly accessible whole genome and transcriptome projects. cisExpress uses a task farming algorithm to exploit all available computational cores within a shared memory node. We demonstrate the robust nature and validity of the proposed method. It is applicable for use with a wide range of genomic databases for any species of interest. AVAILABILITY: cisExpress is available at www.cisexpress.org.
Martin Triska, David Grocutt, James Southern, Denis J. Murphy, Tatiana V. Tatarinova
Bioinform.2