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Jeremy M. R. Martin

dblp:24/2997 · also Jeremy Malcolm Randolph Martin · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2003
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 3 · 2 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 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › statistical genetics › genetic association study
genetic association study design
0.012003
SNP cherry picker: maximizing the chance of finding an association with a disease SNP · Bioinform. 2003
Bioinformatics and computational biology › statistical genetics
pedigree analysis
0.012003
Pedstrip: extracting a maximal subset of available, unrelated individuals from a pedigree · Bioinform. 2003
Bioinformatics and computational biology › statistical genetics › single nucleotide polymorphism analysis
SNP selection
0.012003
SNP cherry picker: maximizing the chance of finding an association with a disease SNP · Bioinform. 2003
Bioinformatics and computational biology
statistical genetics
0.012003
Pedstrip: extracting a maximal subset of available, unrelated individuals from a pedigree · Bioinform. 2003
Bioinformatics and computational biology › statistical genetics › genotype-phenotype association
disease association
0.012003
SNP cherry picker: maximizing the chance of finding an association with a disease SNP · Bioinform. 2003

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

optimization · 0.0combinatorial optimization · 0.0
YearPublicationVenuePosition
2003 SNP cherry picker: maximizing the chance of finding an association with a disease SNP
abstract
UNLABELLED: The high cost of genotyping single nucleotide polymorphisms (SNPs) generally prohibits the systematic mapping of entire genetic linkage regions in order to find the polymorphisms associated with increased risk of disease. In practice, SNPs are selected at approximately equal spacing across the linkage region to try to locate a SNP lying in the haplotype block of the disease SNP. The size of the haplotype block may not be known, however, and SNPs taken from public domain sources may not in fact be polymorphic. Our program will choose a subset of the SNPs in a linkage region so as to maximize the expected proportion of the sequence that lies within a given distance of a real SNP. AVAILABILITY: The software is available, free of charge, for academic use on request from the authors. SUPPLEMENTARY INFORMATION: www.oxagen.co.uk
Mark Harris, Jeremy M. R. Martin, John F. Peden, Christopher J. Rawlings
Bioinform.2
2003 Pedstrip: extracting a maximal subset of available, unrelated individuals from a pedigree
abstract
UNLABELLED: Certain types of genetic analysis are simplified by assembling a collection of unrelated individuals, e.g. case-control experiments. If a family study is being performed then it will be necessary to extract subsets of unrelated, available individuals from pedigress. Our program provides an optimal method for performing this task. AVAILABILITY: The software is available, free of charge, on request from Oxagen Ltd. SUPPLEMENTARY INFORMATION: http://www.oxagen.co.uk
Jeremy M. R. Martin, Lan J. Mackay, Christopher J. Rawlings
Bioinform.1
2000 A Tool for Checking the CSP sat Property
abstract
This paper describes an algorithm and associated tool for checking a network of communicating processes, defined using the algebraic language of CSP, against a set-theoretic specification, expressed in terms of event traces and refusal sets.
Jeremy M. R. Martin
Comput. J.1