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Stephen A. James

dblp:12/2939 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2010
0000-0003-4788-9778ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2

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
genomics
0.122010
TURNIP: tracking unresolved nucleotide polymorphisms in large hard-to-assemble regions of repetitive DNA sequence · Bioinform. 2010
Determining a unique defining DNA sequence for yeast species using hashing techniques · Bioinform. 2002
Bioinformatics and computational biology › genomics
repetitive DNA analysis
0.112010
TURNIP: tracking unresolved nucleotide polymorphisms in large hard-to-assemble regions of repetitive DNA sequence · Bioinform. 2010
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 › 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

sequence alignment · 0.1perl scripting · 0.1hashing · 0.0
YearPublicationVenuePosition
2010 TURNIP: tracking unresolved nucleotide polymorphisms in large hard-to-assemble regions of repetitive DNA sequence
abstract
UNLABELLED: TURNIP comprises a suite of Perl scripts and modules that facilitates the resolution of microheterogeneity within hard-to-assemble repetitive DNA sequences. TURNIP was originally developed for the Saccharomyces Genome Resequencing Project (SGRP) within which the ribosomal DNA (rDNA) of 36 strains of S.cerevisiae were analysed to investigate the occurrence of potential polymorphisms. Here, 'partially resolved SNPs', or pSNPs, as well as indels, were found to be far more prevalent than previously suspected. More generally, the TURNIP software ascertains degrees of variation between large tandem repeats within a single locus, offering insights into mechanisms of genome stability and gene conversion in any organism for which genome sequence data are available. AVAILABILITY: The TURNIP source code, results files and online help are available at http://www.ncyc.co.uk/software/turnip.html.
Robert P. Davey, Stephen A. James, Jo L. Dicks, Ian N. Roberts
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.3