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

R. F. Lascaris

dblp:16/5834 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 1999
—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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › gene regulation
regulatory genomics
0.011999
DNA-binding requirements of the yeast protein Rap1p as selected in silico from ribosomal protein gene promoter sequences · Bioinform. 1999
Bioinformatics and computational biology › sequence analysis › motif discovery
sequence motif discovery
0.011999
DNA-binding requirements of the yeast protein Rap1p as selected in silico from ribosomal protein gene promoter sequences · Bioinform. 1999
Bioinformatics and computational biology › gene regulation
transcription factor binding site prediction
0.011999
DNA-binding requirements of the yeast protein Rap1p as selected in silico from ribosomal protein gene promoter sequences · Bioinform. 1999

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

weight matrix · 0.0computational selection · 0.0
YearPublicationVenuePosition
1999 DNA-binding requirements of the yeast protein Rap1p as selected in silico from ribosomal protein gene promoter sequences
abstract
MOTIVATION: High-level transcriptional activation of most ribosomal protein (rp) genes in Saccharomyces cerevisiae is promoted by the global DNA-binding factor Rap1p. The creation of the complete database of yeast rp gene promoter sequences enabled us to develop a computational selection strategy aimed at acquiring detailed information concerning the DNA-binding specificity of Rap1p. RESULTS: Rap1p sites in rp gene promoters are often found in duplicate, exhibiting strong preferences in both spacing and orientation. Using these preferences, a weight matrix was selected that represents the in vivo binding requirements of Rap1p. The resulting matrix renders the identification of functional Rap1p binding sites more accurate and allowed us to re-evaluate previous in vitro data. Tandemly arranged Rap1p binding sites appear to be typical for rp gene promoters and differ in preferred spacing from sites occurring in (sub)telomeric repeats. The preferred spacing that is found in duplicate Rap1p binding sites of rp gene promoters is restricted to a small window between 15 and 26 bp. This is proposed to reflect the borders within which binding co-operativity operates. The data presented clearly illustrate that computational selection strategies provide information that reaches beyond experimental data. AVAILABILITY: The rp database is available at the url: http://www. chem.vu.nl/BMB/Database.html.
R. F. Lascaris, W. H. Mager, J. Planta
Bioinform.1