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.

Peter A. Schad

dblp:252/1291 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
sequence analysis
0.011999
Establishing a method of vector contamination identification in database sequences · Bioinform. 1999
Bioinformatics and computational biology › biological database
sequence database quality
0.011999
Establishing a method of vector contamination identification in database sequences · Bioinform. 1999
Bioinformatics and computational biology › biological database
nucleotide sequence database
0.011999
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
YearPublicationVenuePosition
1999 Establishing a method of vector contamination identification in database sequences
abstract
MOTIVATION: 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