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A. S. Deshpande

dblp:96/918 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1991
—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%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Parallel and multicore computing · 100%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis
sequence comparison
0.011991
A platform for biological sequence comparison on parallel computers · Comput. Appl. Biosci. 1991
Bioinformatics and computational biology › sequence analysis › sequence similarity search
sequence database search
0.011991
A platform for biological sequence comparison on parallel computers · Comput. Appl. Biosci. 1991
Parallel and multicore computing
parallel computing
0.011991
A platform for biological sequence comparison on parallel computers · Comput. Appl. Biosci. 1991
Parallel and multicore computing › parallel computing › parallel bioinformatics
parallel sequence search
0.011991
A platform for biological sequence comparison on parallel computers · Comput. Appl. Biosci. 1991

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

smith-waterman · 0.0FASTA · 0.0
YearPublicationVenuePosition
1991 A platform for biological sequence comparison on parallel computers
abstract
We have written two programs for searching biological sequence databases that run on Intel hypercube computers. PSCANLIB compares a single sequence against a sequence library, and PCOMPLIB compares all the entries in one sequence library against a second library. The programs provide a general framework for similarity searching; they include functions for reading in query sequences, search parameters and library entries, and reporting the results of a search. We have isolated the code for the specific function that calculates the similarity score between the query and library sequence; alternative searching algorithms can be implemented by editing two files. We have implemented the rapid FASTA sequence comparison algorithm and the more rigorous Smith-Waterman algorithm within this framework. The PSCANLIB program on a 16 node iPSC/2 80386-based hypercube can compare a 229 amino acid protein sequence with a 3.4 million residue sequence library in approximately 16 s with the FASTA algorithm. Using the Smith-Waterman algorithm, the same search takes 35 min. The PCOMPLIB program can compare a 0.8 million amino acid protein sequence library with itself in 5.3 min with FASTA on a third-generation 32 node Intel iPSC/860 hypercube.
A. S. Deshpande, Dana S. Richards, William R. Pearson
Comput. Appl. Biosci.1