Demo Data from EDBT 2026 / reviewers in the wild / expert
Periannan Senapathy
dblp:14/6428
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging computing · 1
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
1 paper |
Parallel and multicore computing · 77% High-performance computing · 23% |
Topics — the 8 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › transcriptomics
alternative splicing analysis |
0.1 | 1 | 2007 | EuSplice: a unified resource for the analysis of splice signals and alternative splicing in eukaryotic genes · Bioinform. 2007 |
Bioinformatics and computational biology
biological database |
0.1 | 1 | 2007 | EuSplice: a unified resource for the analysis of splice signals and alternative splicing in eukaryotic genes · Bioinform. 2007 |
Bioinformatics and computational biology
genome annotation |
0.1 | 1 | 2007 | EuSplice: a unified resource for the analysis of splice signals and alternative splicing in eukaryotic genes · Bioinform. 2007 |
Bioinformatics and computational biology
comparative genomics |
0.0 | 1 | 2007 | EuSplice: a unified resource for the analysis of splice signals and alternative splicing in eukaryotic genes · Bioinform. 2007 |
Bioinformatics and computational biology › genome annotation
gene prediction |
0.0 | 1 | 1994 | Design and Implementation of Parallel Algorithms for Gene-Finding · HPDC 1994 |
Bioinformatics and computational biology
genomics |
0.0 | 1 | 1994 | Design and Implementation of Parallel Algorithms for Gene-Finding · HPDC 1994 |
Parallel and multicore computing › parallel algorithms
parallel algorithm design |
0.0 | 1 | 1994 | Design and Implementation of Parallel Algorithms for Gene-Finding · HPDC 1994 |
High-performance computing
scientific computing systems |
0.0 | 1 | 1994 | Design and Implementation of Parallel Algorithms for Gene-Finding · HPDC 1994 |
Methods — techniques the papers use, named apart from their topics
data mining · 0.1parallel algorithm design · 0.0PVM · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | EuSplice: a unified resource for the analysis of splice signals and alternative splicing in eukaryotic genesabstractMOTIVATION: Despite increased availability of genome annotation data, a comprehensive resource for in-depth analysis of splice signal distributions and alternative splicing (AS) patterns in eukaryote genomes is still lacking. To meet this need, we have developed EuSplice--a unique splice-centric database which provides reliable splice signal and AS information for 23 eukaryotes. RESULTS: The EuSplice database contains 95,822 AS events and 2.1 million splice signals associated with over 270,000 protein-coding genes. The intuitive, user-friendly EuSplice web interface has powerful data mining and graphics capabilities for inter-genomic comparative analysis of splice signals, putative cryptic splice sites and AS events. Moreover, the seamless integration of splicing data to extensive gene-specific annotations, such as homolog annotations, functional information, mutations and sequence details makes EuSplice a powerful one-stop information resource for investigating the molecular mechanisms of complex splicing events, disease associations and the evolution of splicing in eukaryotes. AVAILABILITY: http://66.170.16.154/EuSplice. SUPPLEMENTARY INFORMATION: Supplementary tables and figures at Bioinfo online. Ashwini Bhasi, Ram Vinay Pandey, Suriya Prabha Utharasamy, Periannan Senapathy |
Bioinform. | 4 |
| 1994 | Design and Implementation of Parallel Algorithms for Gene-FindingabstractFinding genes unequivocally in DNA sequences is one of the key goals of the Human Genome project. The human genome is a 3 billion character long DNA sequence and is estimated to contain about 100000 genes. It has been shown by several biologists that genes in a DNA sequence satisfy certain special properties. We use a combination of these properties to design a serial algorithm for gene-finding. To speed up the process of finding genes in long DNA sequences (of the order of /spl ges/100000 characters), we design a parallel algorithm for gene-finding. We have implemented the parallel gene-finding algorithm on the CM-5 multicomputer as well as on a network of HP Apollo workstations under Parallel Virtual Machine software package. Experimental results indicate that our algorithms predict genes with reasonable accuracy.> James Puthukattukaran, Suresh Chalasani, Periannan Senapathy |
HPDC | 3 |