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Ulrich Grob

dblp:09/1500 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 1991
0009-0006-2782-2954ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 4 · 3 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
4 papers
Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis
DNA sequence analysis
0.021988
Recognition of ill-defined signals in nucleic acid sequences · Comput. Appl. Biosci. 1988
GENEXPERT, a program system for nucleic acid sequence structural interpretation · Comput. Appl. Biosci. 1987
Bioinformatics and computational biology
sequence analysis
0.011991
COOL - a VAX program for finding COmmon OLigomers in nucleic acid sequences. Thyroid hormone receptor sequences used as an example · Comput. Appl. Biosci. 1991
Bioinformatics and computational biology › protein structure prediction
secondary structure prediction
0.011987
GENEXPERT, a program system for nucleic acid sequence structural interpretation · Comput. Appl. Biosci. 1987
Bioinformatics and computational biology › genome annotation › gene prediction
tRNA gene search
0.011988
Recognition of ill-defined signals in nucleic acid sequences · Comput. Appl. Biosci. 1988

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

common oligomer search · 0.0signal quantification · 0.0consensus matrix · 0.0consensus sequence matrix · 0.0
YearPublicationVenuePosition
1991 A menu-shell for the GCG programs
abstract
We provide a menu-driven integration of the genetic programs of the Genetics Computer Group (GCG). This allows in-experienced users a very simple access to all GCG programs regardless of the system environment. No modifications to the GCG package are necessary.
Christoph J. Gartmann, Ulrich Grob
Comput. Appl. Biosci.2
1991 COOL - a VAX program for finding COmmon OLigomers in nucleic acid sequences. Thyroid hormone receptor sequences used as an example
abstract
COOL is a program designed to find COmmon OLigomers in a number of nucleic acid sequences. The results of COOL serve as starting points in sequence analysis investigations as well as suggestions for polymerase chain reaction probes. As an example we analyzed thyroid hormone receptor genes and found two oligomers which are characteristic of almost all those genes.
Ulrich Grob, Christoph J. Gartmann
Comput. Appl. Biosci.1
1988 Recognition of ill-defined signals in nucleic acid sequences
abstract
A set of programs has been developed for the definition and handling of nucleic acid sequence consensus information. The sequences of known genetic control signals are combined in a matrix. The origins and positions of the signals are recorded. Old matrices can be updated dynamically: new signals are included and obsolete ones deleted. Matrices of several different types are computed optionally. Several of these matrices can be combined to find possible new signals. The use of matrices allows the exact quantification of signal qualities. The described programs are part of a program library named GENEXPERT. Application examples given are the search for tRNA genes and the search for promoters in the bacteriophage lambda genome.
Ulrich Grob, Kurt Stüber
Comput. Appl. Biosci.1
1987 GENEXPERT, a program system for nucleic acid sequence structural interpretation
abstract
A program system for nucleic acid sequence analysis has been developed. The detection and prediction of secondary structures in nucleic acids have been especially emphasized. The system is able to handle most of the common problems found with nucleic acid sequencing like testing homologies, searching for reading frames and signals etc., but in addition it is able to locate and predict secondary structures. The predicted structures can either be printed on normal line printers or displayed on drawing devices like plotters or video screens. Another special feature is the data base-like handling of consensus sequence matrices by the programs DYCOM and EAGLE. Detailed descriptions of the programs have been published elsewhere (Stüber, 1985, 1986).
Ulrich Grob, Kurt Stüber
Comput. Appl. Biosci.1