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ProbPFP: a multiple sequence alignment algorithm combining hidden Markov model optimized by particle...

ProbPFP: a multiple sequence alignment algorithm combining hidden Markov model optimized by particle...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a1608e1ac8a748038072ae9c0ee67823

ProbPFP: a multiple sequence alignment algorithm combining hidden Markov model optimized by particle swarm optimization with partition function

About this item

Full title

ProbPFP: a multiple sequence alignment algorithm combining hidden Markov model optimized by particle swarm optimization with partition function

Publisher

England: BioMed Central Ltd

Journal title

BMC bioinformatics, 2019-11, Vol.20 (Suppl 18), p.573-573, Article 573

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

During procedures for conducting multiple sequence alignment, that is so essential to use the substitution score of pairwise alignment. To compute adaptive scores for alignment, researchers usually use Hidden Markov Model or probabilistic consistency methods such as partition function. Recent studies show that optimizing the parameters for hidden M...

Alternative Titles

Full title

ProbPFP: a multiple sequence alignment algorithm combining hidden Markov model optimized by particle swarm optimization with partition function

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a1608e1ac8a748038072ae9c0ee67823

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a1608e1ac8a748038072ae9c0ee67823

Other Identifiers

ISSN

1471-2105

E-ISSN

1471-2105

DOI

10.1186/s12859-019-3132-7

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