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R. F. Mott

dblp:07/4396 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1990
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 2 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
2 papers
Bioinformatics and computational biology · 53% Computational science and engineering · 47%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis › sequence similarity search
sequence database search		 0.021990
STATSEARCH: a GCG-compatible program for assessing statistical significance during DNA and protein databank searches · Comput. Appl. Biosci. 1990
A test for the statistical significance of DNA sequence similarities for application in databank searches · Comput. Appl. Biosci. 1989
Computational science and engineering
statistical significance testing		 0.021990
STATSEARCH: a GCG-compatible program for assessing statistical significance during DNA and protein databank searches · Comput. Appl. Biosci. 1990
A test for the statistical significance of DNA sequence similarities for application in databank searches · Comput. Appl. Biosci. 1989
Bioinformatics and computational biology › sequence analysis
sequence similarity		 0.011989
A test for the statistical significance of DNA sequence similarities for application in databank searches · Comput. Appl. Biosci. 1989

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

word searching · 0.0
YearPublicationVenuePosition
1990 STATSEARCH: a GCG-compatible program for assessing statistical significance during DNA and protein databank searches
abstract
We describe a program STATSEARCH which implements the method of Mott et al. (1989) for searching DNA and protein sequence databanks for statistically significant similarities to a given query sequence. STATSEARCH is written to run in conjunction with the GCG sequence analysis package.
R. F. Mott, Thomas B. L. Kirkwood
 Comput. Appl. Biosci.1
1989 A test for the statistical significance of DNA sequence similarities for application in databank searches
abstract
A method is developed, based on word-searching, which provides a rapid test for the statistical significance of DNA sequence similarities for use in databank searching. The method makes allowance for the lengths and dinucleotide compositions of the sequences being compared. A way is also described to calculate the power of the test, i.e. the probability of detecting a given similarity as being statistically significant. The effects on the power of the test of the scoring method, word length, sequence length, and sequence composition are examined. A novel scoring method is shown to be superior to the method currently used in most word-searching algorithms.
R. F. Mott, Thomas B. L. Kirkwood, R. N. Curnow
 Comput. Appl. Biosci.1