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Heinz Sklenar

dblp:66/4731 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1996
—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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › structural bioinformatics › nucleic acid structure analysis
DNA structural analysis		 0.011996
Combining structural analysis of DNA with search routines for the detection of transcription regulatory elements · Comput. Appl. Biosci. 1996
Bioinformatics and computational biology › gene regulation
regulatory element discovery		 0.011996
Combining structural analysis of DNA with search routines for the detection of transcription regulatory elements · Comput. Appl. Biosci. 1996

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

sequence pattern search · 0.0molecular modelling · 0.0
YearPublicationVenuePosition
1996 Combining structural analysis of DNA with search routines for the detection of transcription regulatory elements
abstract
MOTIVATION: Analysis of unannotated genomic sequences for regulatory regions depends on a reliable recognition of individual cis-acting elements. Since some of them have a very low conserved sequence pattern, additional criteria are required. RESULTS: Using molecular modelling techniques, we have created a complete database for the conversion of base sequences into profiles of structural parameters of DNA. On this basis, search routines can be developed that scan for profile matches. They may be used instead of or, probably most appropriate in most cases, in combination with conventional sequence pattern searches.
Holger Karas, Rainer Knüppel, Heinz Sklenar, Edgar Wingender
 Comput. Appl. Biosci.4