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M. S. Chapman

dblp:94/506 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1994
—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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
sequence analysis
0.011994
Sequence similarity scores and the inference of structure-function relationships · Comput. Appl. Biosci. 1994
Bioinformatics and computational biology › sequence analysis
sequence similarity scoring
0.011994
Sequence similarity scores and the inference of structure-function relationships · Comput. Appl. Biosci. 1994

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

statistical comparison · 0.0position-dependent gap-penalized similarity score · 0.0
YearPublicationVenuePosition
1994 Sequence similarity scores and the inference of structure-function relationships
abstract
Improved methods are described for the interpretation of two or more aligned protein or nucleic acid sequences. These methods can be used to interpret the possible biological importance of regions within a known three-dimensional structure, or, even without a structure, to correlate sequence similarity with the known function of particular amino acids and to associate sequence similarity with properties predicted from the sequences. Improvements include the calculation of a position-dependent, gap-penalized similarity score; computer-assisted graphical association of sequence similarity with structural, functional or chemical properties of the sequences; and statistical comparisons of the sequence conservation or variability of different groups of residues. An application is described to analyze the sequences of piconarviral capsid proteins.
M. S. Chapman
Comput. Appl. Biosci.1