Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Catherine V. Gale

dblp:09/4587 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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
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 › genomics › viral genomics
HIV-1 subtyping
0.112005
A statistical model for HIV-1 sequence classification using the subtype analyser (STAR) · Bioinform. 2005
Bioinformatics and computational biology › molecular evolution
recombination detection
0.112005
A statistical model for HIV-1 sequence classification using the subtype analyser (STAR) · Bioinform. 2005
Bioinformatics and computational biology › sequence analysis
sequence classification
0.112005
A statistical model for HIV-1 sequence classification using the subtype analyser (STAR) · Bioinform. 2005
Bioinformatics and computational biology › genomics › viral genomics
viral sequence analysis
0.112005
A statistical model for HIV-1 sequence classification using the subtype analyser (STAR) · Bioinform. 2005

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

z-score statistics · 0.1profile alignment scoring · 0.1
YearPublicationVenuePosition
2016 The "Beyond the Fence" Musical and "Computer Says Show" Documentary
Simon Colton, Maria Teresa Llano, Rose Hepworth, John William Charnley, Catherine V. Gale, Archie Baron, François Pachet, Pierre Roy, Pablo Gervás, Nick Collins, Bob L. T. Sturm, Tillman Weyde, Daniel Wolff, James Robert Lloyd
ICCC5
2005 A statistical model for HIV-1 sequence classification using the subtype analyser (STAR)
abstract
MOTIVATION: HIV-1 antiretroviral drug resistance testing produces large amounts of HIV-1 protease and reverse transcriptase sequences. These provide an excellent resource to study the incidence, spread and clinical significance of HIV-1 subtypes. We have produced a program, Subtype Analyser (STAR) that rapidly and accurately subtypes HIV-1. Here we have determined a robust and statistically validated model for subtype assignment. RESULTS: We have significantly extended our HIV-1 subtyping tool (STAR), such that each query sequence when evaluated against subtype profile alignments, returns a discriminating score based on the ratio of subtype positive to negative amino acid positions. These scores were transformed into a Z-score distribution and evaluated. Of the 141 sequences used to define the subtype alignments, 98% were correctly reclassified. Inclusion of additional recombination detection within STAR increased the detection of known recombinant sequences to 95%. AVAILABILITY: STAR is available as compiled (Linux Fedora 3) or source code from http://pgv19.virol.ucl.ac.uk/download/star_linux.tar CONTACT: [email protected] SUPPLEMENTARY INFORMATION: http://pgv19.virol.ucl.ac.uk/download/star_supplement
Richard E. Myers, Catherine V. Gale, A. Harrison, Yasu Takeuchi, Paul Kellam
Bioinform.2