Optimization of consistency-based multiple sequence alignment using Big Data technologies-Reference-Cited by-同舟云学术

Optimization of consistency-based multiple sequence alignment using Big Data technologies

Published:2018-05-24 Issue:3 Volume:75 Page:1310-1322
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Lladós Jordi^ORCID,Cores Fernando,Guirado Fernando

Funder

MEyC-Spain

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s11227-018-2424-4.pdf

Reference23 articles.

1. Dean J, Ghemawat S (2010) MapReduce: a flexible data processing tool. Commun ACM 53(1):72–77

2. Do C, Brudno M, Batzoglou S (2004) PROBCONS: Probabilistic Consistency-based multiple alignment of amino acid sequences. In: Proceedings nineteenth national conference on artificial intelligence, pp 703–708

3. Eddy SR (2009) A new generation of homology search tools based on probabilistic inference. Genome Inform 23:205–211

4. Gouy M, Guindon S, Gascuel O (2010) Seaview version 4: a multiplatform graphical user interface for sequence alignment and phylogenetic tree building. Mol Biol Evol 27(2):221–224

5. Gotoh O (1990) Consistency of optimal sequence alignments. Bull Math Biol 52(4):509–525

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. Accurate consistency-based MSA reducing the memory footprint;Computer Methods and Programs in Biomedicine;2021-09

2. High throughput BLAST algorithm using spark and cassandra;The Journal of Supercomputing;2020-05-28

3. A decade of big data literature: analysis of trends in light of bibliometrics;The Journal of Supercomputing;2018-12-07