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Emily L. Webb

dblp:26/4918 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2005
0000-0002-4019-7456ORCID · verified

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 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › statistical genetics
genetic linkage analysis
0.112005
SNPLINK: multipoint linkage analysis of densely distributed SNP data incorporating automated linkage disequilibrium removal · Bioinform. 2005
Bioinformatics and computational biology › statistical genetics › genetic linkage analysis
multipoint linkage analysis
0.112005
SNPLINK: multipoint linkage analysis of densely distributed SNP data incorporating automated linkage disequilibrium removal · Bioinform. 2005
Bioinformatics and computational biology
genomics
0.012005
SNPLINK: multipoint linkage analysis of densely distributed SNP data incorporating automated linkage disequilibrium removal · Bioinform. 2005
Bioinformatics and computational biology › genomics
single nucleotide polymorphism
0.012005
SNPLINK: multipoint linkage analysis of densely distributed SNP data incorporating automated linkage disequilibrium removal · Bioinform. 2005

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

parametric linkage · 0.1non-parametric linkage · 0.1linkage disequilibrium removal · 0.1
YearPublicationVenuePosition
2005 SNPLINK: multipoint linkage analysis of densely distributed SNP data incorporating automated linkage disequilibrium removal
abstract
Summary: SNPLINK is a Perl script that performs full genome linkage analysis of high-density single nucleotide polymorphism (SNP) marker sets. The presence of linkage disequilibrium (LD) between closely spaced SNP markers can falsely inflate linkage statistics. SNPLINK removes LD from the marker sets in an automated fashion before carrying out linkage analysis. SNPLINK can compute both parametric and non-parametric statistics, utilizing the freely available Allegro and Merlin software. Graphical outputs of whole genome multipoint linkage statistics are provided allowing comparison of results before and after the removal of LD. Availability: SNPLINK is freely available for non-commercial research institutions. For full details see www.icr.ac.uk/cancgen/molgen/MolPopGen_Bioinformatics.htm Contact: [email protected]
Emily L. Webb, Gabrielle S. Sellick, Richard S. Houlston
Bioinform.1