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

G. G. Kneale

dblp:32/3375 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 1985
—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 › biological database
sequence database
0.011985
Nucleic acid and protein sequence databases · Comput. Appl. Biosci. 1985
Bioinformatics and computational biology › sequence analysis
database search
0.011985
Nucleic acid and protein sequence databases · Comput. Appl. Biosci. 1985
Bioinformatics and computational biology
sequence analysis
0.011985
Nucleic acid and protein sequence databases · Comput. Appl. Biosci. 1985

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

sequence comparison algorithms · 0.0
YearPublicationVenuePosition
1985 Nucleic acid and protein sequence databases
abstract
Nucleic acid and protein sequences contain a wealth of information of interest to molecular biologists. The advent of molecular sequence databases provides a unique opportunity for the computer analysis of all available sequences. Sequence databases serve two main functions: (i) to facilitate comparisons with newly determined sequences, and (ii) to act as a source of data for the generation and testing of hypotheses concerning molecular sequence organisation and evolution. The large amounts of sequence data now becoming available require that algorithms for database searching be fast and efficient and considerable progress is being made in this area.
G. G. Kneale, M. J. Bishop
Comput. Appl. Biosci.1