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Peter R. Sibbald

dblp:23/3355 · DBLP profile ↗
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5ranked-venue papers
3as first author
0since 2021 · last 1995
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 5 · 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
5 papers
Bioinformatics and computational biology · 100%

Topics — the 7 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
protein sequence analysis
0.021991
Automated protein sequence pattern handling and PROSITE searching · Comput. Appl. Biosci. 1991
Scrutineer: a computer program that flexibly seeks and describes motifs and profiles in protein sequence databases [published erratum appears in Comput Appl Biosci 1990 Oct;6(4): 431] · Comput. Appl. Biosci. 1990
Bioinformatics and computational biology › sequence analysis › sequence motif analysis
sequence motif search
0.021991
Automated protein sequence pattern handling and PROSITE searching · Comput. Appl. Biosci. 1991
Scrutineer: a computer program that flexibly seeks and describes motifs and profiles in protein sequence databases [published erratum appears in Comput Appl Biosci 1990 Oct;6(4): 431] · Comput. Appl. Biosci. 1990
Bioinformatics and computational biology › biological database
molecular biology databases
0.011995
Issues in incorporation semantic integrity in molecular biological object-oriented databases · Comput. Appl. Biosci. 1995
Bioinformatics and computational biology › sequence analysis › sequence similarity search
sequence database search
0.021992
Overseer: a nucleotide sequence searching tool · Comput. Appl. Biosci. 1992
Automated protein sequence pattern handling and PROSITE searching · Comput. Appl. Biosci. 1991
Bioinformatics and computational biology › sequence analysis
DNA sequence analysis
0.011992
Overseer: a nucleotide sequence searching tool · Comput. Appl. Biosci. 1992
Bioinformatics and computational biology › sequence analysis
pattern matching
0.011992
Overseer: a nucleotide sequence searching tool · Comput. Appl. Biosci. 1992
Bioinformatics and computational biology › protein structure prediction
secondary structure prediction
0.011990
Scrutineer: a computer program that flexibly seeks and describes motifs and profiles in protein sequence databases [published erratum appears in Comput Appl Biosci 1990 Oct;6(4): 431] · Comput. Appl. Biosci. 1990

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

sequence database search · 0.0semantic constraints · 0.0object-oriented modeling · 0.0
YearPublicationVenuePosition
1995 Issues in incorporation semantic integrity in molecular biological object-oriented databases
abstract
Issues critical to ensuring semantic integrity in molecular biological data collections have been identified and include complexity, exceptions, missing data, changing models, holism and integration, delocalized data, interoperability and nomenclature. This combination is peculiar to biology and presents some interesting problems as a result. Little is known about semantic checking in object-oriented databases in general, but because such technology appears highly suitable for modeling biological data, it is appropriate to examine the ways in which object-oriented technology can support this functionality. It is concluded that object-oriented technology will support semantic checking even in a complex domain like biology. We propose 10 guidelines for future work including ways of treating exceptional cases and 'positioning' of constraints in a schema.
S. Schweigert, P. V. Herde, Peter R. Sibbald
Comput. Appl. Biosci.3
1993 PALM - A Pattern Language for Molecular Biology
Carsten Helgesen, Peter R. Sibbald
ISMB2
1992 Overseer: a nucleotide sequence searching tool
abstract
Overseer is a computer program that searches databases of nucleic acid sequences for objects of interest to the user. Such objects may consist of any number of simpler building blocks such as repeats, palindromes or stem-loops, strings of particular bases with or without mismatches, etc. Written in standard Pascal, this program runs under Unix and VMS and should also run under other operating systems. A simple interface allows the user to generate interactively a file containing a description of the target to be found. The searching program runs non-interactively, processing the information from the file and searching the sequences. The results are output to a file. Search capabilities are quite flexible and the code is designed to be modified. Since the framework of the program is simple, adding new modules to search for new target types as the need arises is possible.
Peter R. Sibbald, Hubert Sommerfeldt, P. Argos
Comput. Appl. Biosci.1
1991 Automated protein sequence pattern handling and PROSITE searching
abstract
The protein sequence searching program Scrutineer has been modified to search for targets from a file. We are distributing a reformatted file of PROSITES which can be read by Scrutineer. In addition, Scrutineer still accepts targets typed in interactively but can now write them out in the format required as input. Since the input format is the same as the output format, target management and re-use is simple.
Peter R. Sibbald, Hubert Sommerfeldt, P. Argos
Comput. Appl. Biosci.1
1990 Scrutineer: a computer program that flexibly seeks and describes motifs and profiles in protein sequence databases [published erratum appears in Comput Appl Biosci 1990 Oct;6(4): 431]
abstract
Scrutineer is an interactive, user-friendly program designed to search for motifs, patterns and profiles in the Swissprot, Protein Identification Resource (PIR) or SeqDb protein sequence databases. Basic capabilities include (i) searches for strings of amino acids with multiple choices at a given position; (ii) searches for strings including variable-length segments and delocalized constraints; (iii) searches over subsets of a database or particular regions within each sequence (e.g. N-terminal one-third); (iv) searches involving secondary structure predictions, physicochemical characteristics, and the like; and (v) searches using aligned sequences as targets with various optional weighting schemes. The various search criteria and hits can be combined and complex targets located. Once the data are loaded into virtual memory, all occurrences in PIR release 22.0 (3.7 x 10(6) amino acids) of a given short string of amino acids (e.g. a hexamer) are found in approximately 36 s. Scrutineer can also describe the entire database, user-specified hits, user-defined regions of sequence and all hits. The source code and accompanying manual are being freely distributed.
Peter R. Sibbald, P. Argos
Comput. Appl. Biosci.1