Evidence map›Paper›PMID 27670777›Full record

ArticleScientific reports2016

FAMSA: Fast and accurate multiple sequence alignment of huge protein families.

Sebastian Deorowicz, Agnieszka Debudaj-Grabysz, Adam Gudyś

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers.

0numbers the graph read from it
0cells of the map it votes in
122citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

122 citing papers in PubMed.

  1. CAMELLIA: an alignment-free pipeline integratingNAR genomics and bioinformatics · 2026
    Article
  2. CaSNF1 interacts with and phosphorylates CaHD-ZIP to enhance cold tolerance in pepper.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  3. A lipid cue drives the subcellular localization of a self-inserting bacterial transmembrane protein.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  14. The heterogeneous selection landscape of genome evolution in prokaryotes.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  15. ssRNA bacteriophage metagenomes reveal a diverse set of novel protein families.Protein science : a publication of the Protein Society · 2026
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62 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sebastian DeorowiczInstitute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland.
Agnieszka Debudaj-GrabyszInstitute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland.
Adam GudyśInstitute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid development of modern sequencing platforms has contributed to the unprecedented growth of protein families databases. The abundance of sets containing hundreds of thousands of sequences is a formidable challenge for multiple sequence alignment algorithms. The article introduces FAMSA, a new progressive algorithm designed for fast and accurate alignment of thousands of protein sequences. Its features include the utilization of the longest common subsequence measure for determining pairwise similarities, a novel method of evaluating gap costs, and a new iterative refinement scheme. What matters is that its implementation is highly optimized and parallelized to make the most of modern computer platforms. Thanks to the above, quality indicators, i.e. sum-of-pairs and total-column scores, show FAMSA to be superior to competing algorithms, such as Clustal Omega or MAFFT for datasets exceeding a few thousand sequences. Quality does not compromise on time or memory requirements, which are an order of magnitude lower than those in the existing solutions. For example, a family of 415519 sequences was analyzed in less than two hours and required no more than 8 GB of RAM. FAMSA is available for free at http://sun.aei.polsl.pl/REFRESH/famsa.

Identifiers

PMID27670777
PMCPMC5037421

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Registered trials

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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.