Evidence map›Paper›PMID 27153688›Full record

ArticleBioinformatics (Oxford, England)2016

A simple method to control over-alignment in the MAFFT multiple sequence alignment program.

Kazutaka Katoh, Daron M Standley

Abstract read
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Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 313 papers.

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313citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

313 citing papers in PubMed.

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253 more citing papers are in PubMed but not listed here.

4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Kazutaka KatohImmunology Frontier Research Center, Osaka University, Suita 565-0871, Japan.
Daron M StandleyImmunology Frontier Research Center, Osaka University, Suita 565-0871, Japan Institute for Virus Research, Kyoto University, Kyoto 606-8507, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationWe present a new feature of the MAFFT multiple alignment program for suppressing over-alignment (aligning unrelated segments). Conventional MAFFT is highly sensitive in aligning conserved regions in remote homologs, but the risk of over-alignment is recently becoming greater, as low-quality or noisy sequences are increasing in protein sequence databases, due, for example, to sequencing errors and difficulty in gene prediction.

resultsThe proposed method utilizes a variable scoring matrix for different pairs of sequences (or groups) in a single multiple sequence alignment, based on the global similarity of each pair. This method significantly increases the correctly gapped sites in real examples and in simulations under various conditions. Regarding sensitivity, the effect of the proposed method is slightly negative in real protein-based benchmarks, and mostly neutral in simulation-based benchmarks. This approach is based on natural biological reasoning and should be compatible with many methods based on dynamic programming for multiple sequence alignment. AVAILABILITY AND IMPLEMENTATION: The new feature is available in MAFFT versions 7.263 and higher. http://mafft.cbrc.jp/alignment/software/ CONTACT: katoh@ifrec.osaka-u.ac.jp SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Sequence AlignmentSoftwareAlgorithmsProteinsSequence Analysis, ProteinProteins

Identifiers

PMID27153688
PMCPMC4920119

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.