SW-actors: accelerating the Smith–Waterman algorithm via actors

Authors

Institutions

Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf173
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SW-actors: accelerating the Smith–Waterman algorithm via actors

Ali Akbar Jamali, Mohammad Mahdi Moayeri, Kyle Klenk, Raymond J. Spiteri et al.
Bioinformatics Advances
Neural Networks and Reservoir Computing
article

SW-actors: accelerating the Smith–Waterman algorithm via actors

Ali Akbar Jamali, Mohammad Mahdi Moayeri, Kyle Klenk, Raymond J. Spiteri, Reza Rafati Bonab
article en

Abstract

No abstract available for this paper.
Bioinformatics AdvancesVol. 5(1)
University of Saskatchewan (CA)
Openalex Percentile: Top 72%
Neural Networks and Reservoir Computing
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

SW-actors: accelerating the Smith–Waterman algorithm via actors — Ali Akbar Jamali, Mohammad Mahdi Moayeri, et al. · Bioinformatics Advances (2024) | TGRS Research Map | TGRS