Demo Data from EDBT 2026 / reviewers in the wild / expert
Richard E. Myers
dblp:320/1729
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2005
—ORCID · none
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › genomics › viral genomics
HIV-1 subtyping |
0.1 | 1 | 2005 | A statistical model for HIV-1 sequence classification using the subtype analyser (STAR) · Bioinform. 2005 |
Bioinformatics and computational biology › molecular evolution
recombination detection |
0.1 | 1 | 2005 | A statistical model for HIV-1 sequence classification using the subtype analyser (STAR) · Bioinform. 2005 |
Bioinformatics and computational biology › sequence analysis
sequence classification |
0.1 | 1 | 2005 | 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 |
0.1 | 1 | 2005 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | A statistical model for HIV-1 sequence classification using the subtype analyser (STAR)abstractMOTIVATION: 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. | 1 |