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Dean Laslett

dblp:98/4764 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2008
—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

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 › genome annotation
gene prediction		 0.112008
ARWEN: a program to detect tRNA genes in metazoan mitochondrial nucleotide sequences · Bioinform. 2008
Bioinformatics and computational biology › genomics
mitochondrial genomics		 0.112008
ARWEN: a program to detect tRNA genes in metazoan mitochondrial nucleotide sequences · Bioinform. 2008
Bioinformatics and computational biology › genome annotation › gene prediction
tRNA gene search		 0.112008
ARWEN: a program to detect tRNA genes in metazoan mitochondrial nucleotide sequences · Bioinform. 2008

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

sequence analysis · 0.1
YearPublicationVenuePosition
2008 ARWEN: a program to detect tRNA genes in metazoan mitochondrial nucleotide sequences
abstract
MOTIVATION: Mitochondrial genomes encode their own transfer RNAs (tRNAs). These are often degenerate in sequence and structure compared to tRNAs in their bacterial ancestors. This is one of the reasons why current tRNA gene predictor programs perform poorly identifying mitochondrial tRNA genes. As a consequence there is a need for a new program with the specific aim of predicting these tRNAs. RESULTS: In this study, we present the software ARWEN that identifies tRNA genes in metazoan mitochondrial nucleotide sequences. ARWEN detects close to 100% of previously annotated genes. AVAILABILITY: An online version, software for download and test results are available at www.acgt.se/online.html
Dean Laslett, Björn Canbäck
 Bioinform.1