Using GPU to accelerate the pairwise structural RNA alignment with base pair probabilities-Reference-Cited by-同舟云学术

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Using GPU to accelerate the pairwise structural RNA alignment with base pair probabilities

Published:2019-08 Issue:10 Volume:32 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Sundfeld Daniel¹^ORCID,Teodoro George²^ORCID,Havgaard Jakob H.³,Gorodkin Jan³^ORCID,Melo Alba C. M. A.²

Affiliation:

1. Information and Communication TechnologyBrasília Federal Institute Brasília Brazil

2. Department of Computer ScienceUniversity of Brasília Brasília Brazil

3. Center for Non‐Coding RNA in Technology and Health, Department of Veterinary and Animal SciencesUniversity of Copenhagen Copenhagen Denmark

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Teknologi og Produktion, Det Frie Forskningsråd

Innovationsfonden

Lundbeckfonden

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5468

Reference23 articles.

1. Algorithms for Loop Matchings

2. Optimal computer folding of large RNA sequences using thermodynamics and auxiliary information

3. Simultaneous Solution of the RNA Folding, Alignment and Protosequence Problems

4. Foldalign 2.5: multithreaded implementation for pairwise structural RNA alignment

5. Dynalign II: common secondary structure prediction for RNA homologs with domain insertions

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Expeditious COVID-19 similarity measure tool based on consolidated SCA algorithm with mutation and opposition operators;Applied Soft Computing;2021-06

2. Applications of GPUs for Signal Processing Algorithms: A Case Study on Design Choices for Cyber-Physical Systems;Advances in Science, Technology & Innovation;2021

3. Latest advances in parallel, distributed, and network‐based processing;Concurrency and Computation: Practice and Experience;2020-02-11

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