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Jan-Jaap Wesselink

dblp:31/3797 · DBLP profile ↗
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2ranked-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 · 2 · 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
2 papers
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 › transcriptomics
alternative splicing analysis
0.112008
Determination and validation of principal gene products · Bioinform. 2008
Bioinformatics and computational biology › sequence analysis
DNA sequence analysis
0.012002
Determining a unique defining DNA sequence for yeast species using hashing techniques · Bioinform. 2002
Bioinformatics and computational biology
genomics
0.012002
Determining a unique defining DNA sequence for yeast species using hashing techniques · Bioinform. 2002
Bioinformatics and computational biology › sequence analysis
unique sequence identification
0.012002
Determining a unique defining DNA sequence for yeast species using hashing techniques · Bioinform. 2002

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

non-neutral evolution detection · 0.1functional residue conservation · 0.1cross-species conservation analysis · 0.1hashing · 0.0
YearPublicationVenuePosition
2008 Determination and validation of principal gene products
abstract
MOTIVATION: Alternative splicing has the potential to generate a wide range of protein isoforms. For many computational applications and for experimental research, it is important to be able to concentrate on the isoform that retains the core biological function. For many genes this is far from clear. RESULTS: We have combined five methods into a pipeline that allows us to detect the principal variant for a gene. Most of the methods were based on conservation between species, at the level of both gene and protein. The five methods used were the conservation of exonic structure, the detection of non-neutral evolution, the conservation of functional residues, the existence of a known protein structure and the abundance of vertebrate orthologues. The pipeline was able to determine a principal isoform for 83% of a set of well-annotated genes with multiple variants.
Michael L. Tress, Jan-Jaap Wesselink, Adam Frankish, Gonzalo López, Nick Goldman, Ari Löytynoja, Tim Massingham, Fabio Pardi, Simon Whelan, Jennifer L. Harrow, Alfonso Valencia
Bioinform.2
2002 Determining a unique defining DNA sequence for yeast species using hashing techniques
abstract
MOTIVATION: Yeasts are often still identified with physiological growth tests, which are both time consuming and unsuitable for detection of a mixture of organisms. Hence, there is a need for molecular methods to identify yeast species. RESULTS: A hashing technique has been developed to search for unique DNA sequences in 702 26S rRNA genes. A unique DNA sequence has been found for almost every yeast species described to date. The locations of the unique defining sequences are in accordance with the variability map of large subunit ribosomal RNA and provide detail of the evolution of the D1/D2 region. This approach will be applicable to the rapid identification of unique sequences in other DNA sequence sets. AVAILABILITY: Freely available upon request from the authors. SUPPLEMENTARY INFORMATION: Results are available at http://www.sys.uea.ac.uk/~jjw/project/paper
Jan-Jaap Wesselink, Beatriz de la Iglesia, Stephen A. James, Jo L. Dicks, Ian N. Roberts, Victor J. Rayward-Smith
Bioinform.1