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Mats T. Nilsson

dblp:310/3713 · DBLP profile ↗
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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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
sequence analysis		 0.011985
SEQ-ED: an interactive computer program for editing, analysis and storage of long DNA sequences · Comput. Appl. Biosci. 1985
Bioinformatics and computational biology › sequence analysis
sequence compression		 0.011985
SEQ-ED: an interactive computer program for editing, analysis and storage of long DNA sequences · Comput. Appl. Biosci. 1985

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

binary encoding · 0.0
YearPublicationVenuePosition
1985 SEQ-ED: an interactive computer program for editing, analysis and storage of long DNA sequences
abstract
The rapidly growing body of sequenced DNA demands efficient computer programs for its analysis and storage. The program described in this paper, SEQ-ED, has been designed to handle a large number of DNA sequences up to 200 kilobases [kb] long stored in a sequence library. In order to minimize the required storage space, the sequences are stored in a compressed format using three binary digits per base. In the development of this program, special care has been given to make it easy to use for molecular biologists without any previous computer experience.
Mats T. Nilsson, Gunnar O. Klein
 Comput. Appl. Biosci.1