SW#–GPU-enabled exact alignments on genome scale-Reference-Cited by-同舟云学术

SW#–GPU-enabled exact alignments on genome scale

Published:2013-07-31 Issue:19 Volume:29 Page:2494-2495
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Korpar Matija,Šikić Mile

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference10 articles.

1. Basic local alignment search tool;J. Mol. Biol.,1990

2. Sense from sequence reads: methods for alignment and assembly;Nat. Methods,2009

3. A linear space algorithm for computing maximal common subsequences;Commun. ACM,1975

4. Versatile and open software for comparing large genomes;Genome Biol.,2004

5. Optimal alignments in linear space;Comput. Appl. Biosci.,1988

Cited by 43 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. AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping;Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming;2024-02-20

2. Assessing opportunities of SYCL for biological sequence alignment on GPU-based systems;The Journal of Supercomputing;2024-02-19

3. Comparing Performance and Portability Between CUDA and SYCL for Protein Database Search on NVIDIA, AMD, and Intel GPUs;2023 IEEE 35th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD);2023-10-17

4. CUDASW++4.0: Ultra-fast GPU-based Smith-Waterman Protein Sequence Database Search;2023-10-11

5. A scalable parallel algorithm for global sequence alignment with customizable scoring scheme;Concurrency and Computation: Practice and Experience;2023-08-07