EDBT 2026 Demo / reviewers in the wild / expert
Peter A. Schad
dblp:252/1291
· DBLP profile ↗
1ranked-venue papers
0as 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
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
sequence analysis |
0.0 | 1 | 1999 | Establishing a method of vector contamination identification in database sequences · Bioinform. 1999 |
Bioinformatics and computational biology › biological database
sequence database quality |
0.0 | 1 | 1999 | Establishing a method of vector contamination identification in database sequences · Bioinform. 1999 |
Bioinformatics and computational biology › biological database
nucleotide sequence database |
0.0 | 1 | 1999 | Establishing a method of vector contamination identification in database sequences · Bioinform. 1999 |
Methods — techniques the papers use, named apart from their topics
sequence similarity searching · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | Establishing a method of vector contamination identification in database sequencesabstractMOTIVATION: The nucleotide sequence databases are invaluable tools both for the private and the academic research communities, from the retrieval of sequences to homology searching. Several issues related to data quality, such as the existence of sequencing artifacts and errors, are facing the databases. We investigated a major source of these errors, i.e. the presence of vector-contaminated sequences. RESULTS: Using a panel of 180 vector polylinker sequences, we found 0.36% or 3029 vector-matching sequences in GenBank Release 95-96, with an average vector-matching length of 72 nucleotides. The number of vector-contaminated sequences has been growing with the database; however, the percent contamination has remained approximately constant at an average of 0.28% from 1982 to 1996. AVAILABILITY: Access to the database of vector polylinker sequences via sequence similarity searching is available at http://seqsim.ncgr.org/vector/ CONTACT: [email protected] G. A. Seluja, Andrew D. Farmer, Mia McLeod, Carol Harger, Peter A. Schad |
Bioinform. | 5 |