Demo Data from EDBT 2026 / reviewers in the wild / expert
A. S. Deshpande
dblp:96/918
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › sequence analysis
sequence comparison |
0.0 | 1 | 1991 | 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 |
0.0 | 1 | 1991 | A platform for biological sequence comparison on parallel computers · Comput. Appl. Biosci. 1991 |
Parallel and multicore computing
parallel computing |
0.0 | 1 | 1991 | A platform for biological sequence comparison on parallel computers · Comput. Appl. Biosci. 1991 |
Parallel and multicore computing › parallel computing › parallel bioinformatics
parallel sequence search |
0.0 | 1 | 1991 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1991 | A platform for biological sequence comparison on parallel computersabstractWe 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 |