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G. Vogt

dblp:74/1756 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1993
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 2 · 2 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
2 papers
Bioinformatics and computational biology · 100%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Parallel and multicore computing · 100%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein sequence analysis
protein sequence database search
0.011993
Profile sequence analysis and database searches on a transputer machine connected to a Macintosh computer · Comput. Appl. Biosci. 1993
Bioinformatics and computational biology › sequence analysis
sequence profile analysis
0.011993
Profile sequence analysis and database searches on a transputer machine connected to a Macintosh computer · Comput. Appl. Biosci. 1993
Bioinformatics and computational biology › sequence alignment
protein sequence alignment
0.011992
Searching for distantly related protein sequences in large databases by parallel processing on a transputer machine · Comput. Appl. Biosci. 1992
Bioinformatics and computational biology › sequence analysis › homology detection
remote homology detection
0.011992
Searching for distantly related protein sequences in large databases by parallel processing on a transputer machine · Comput. Appl. Biosci. 1992
Parallel and multicore computing
parallel computing
0.021993
Profile sequence analysis and database searches on a transputer machine connected to a Macintosh computer · Comput. Appl. Biosci. 1993
Searching for distantly related protein sequences in large databases by parallel processing on a transputer machine · Comput. Appl. Biosci. 1992

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

dynamic programming · 0.0sequence alignment algorithm · 0.0physicochemical characteristics · 0.0profilesearch · 0.0profile search · 0.0
YearPublicationVenuePosition
1993 Profile sequence analysis and database searches on a transputer machine connected to a Macintosh computer
abstract
An implementation of Profilesearch (a technique to search for relationships between a protein sequence and multiply aligned sequences) for a parallel computer is described. The number-crunching machine, consisting of 21 T800 transputers, is connected to a Macintosh IIcx host computer. The program utilizes a standard Macintosh application as its user-interface, resulting in a transparent and user-friendly environment for addressing the parallel computer. The program is independent of the number of available processors and exceeds the speed of a VAXstation 3200 with only one transputer in operation, thus allowing cheap and fast database searches with a PC front-end. For a larger number of processors, the speed increase is approximately linear with no obvious symptoms of saturation with the available maximum of 21 transputers. The program and environment are useful to search quickly and easily for similarities between a single sequence or sequence set and individual sequences contained in a large database. The alignment is determined by typical dynamic programming techniques.
G. Vogt, P. Argos
Comput. Appl. Biosci.1
1992 Searching for distantly related protein sequences in large databases by parallel processing on a transputer machine
abstract
AliMac is an implementation of a sensitive sequence alignment algorithm on a parallel computer. The method achieves reliable alignments for very distantly related sequences from a combined use of amino acid exchange weights and physicochemical characteristics. The algorithm is computing intensive and its usage on conventional computers is limited to a relatively small number of sequences. The parallel implementation uses a Macintosh IIcx host computer and 21 transputers and achieves 22 times the speed of a VAX 8650 at a fraction of the cost. This paper describes the AliMac hardware and software and discusses problems and peculiarities of parallel implementations, especially with transputers. Finally, several popular sequence alignment algorithms are compared in their ability to detect distantly related sequences in searching large databases.
G. Vogt, P. Argos
Comput. Appl. Biosci.1