Demo Data from EDBT 2026 / reviewers in the wild / expert
Sergey Stolyar
dblp:23/1504
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2002
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
gene expression analysis |
0.0 | 1 | 2002 | Identifying operons and untranslated regions of transcripts using Escherichia coli RNA expression analysis · ISMB 2002 |
Bioinformatics and computational biology › transcriptomics › transcript assembly
transcript boundary identification |
0.0 | 1 | 2002 | Identifying operons and untranslated regions of transcripts using Escherichia coli RNA expression analysis · ISMB 2002 |
Methods — techniques the papers use, named apart from their topics
hidden markov model · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2002 | Identifying operons and untranslated regions of transcripts using Escherichia coli RNA expression analysisabstractAbstract Microarrays traditionally have been used to assay the transcript expression of coding regions of genes. Here, we use Escherichia coli oligonucleotide microarrays to assay transcript expression of both open reading frames (ORFs) and intergenic regions. We then use hidden Markov models to analyse this expression data and estimate transcription boundaries of genes. This approach allows us to identify 5′ untranslated regions (5′ UTRs) of transcripts as well as genes that are likely to be operon members. The operon elements we identify correspond to documented operons with 99% specificity and 63% sensitivity. Similarly we find that our 5′ UTR results accurately coincide with experimentally verified promoter regions for most genes. Contact: [email protected] Keywords: untranslated regions; operons; intergenic; microarrays; Escherichia coli. *To whom correspondence should be addressed. Brian Tjaden, David R. Haynor, Sergey Stolyar, Carsten Rosenow, Eugene Kolker |
ISMB | 3 |