Evidence map›Paper›PMID 25273068›Full record

ArticleGenome research2014

Alignathon: a competitive assessment of whole-genome alignment methods.

Dent Earl, Ngan Nguyen, Glenn Hickey, Robert S Harris, Stephen Fitzgerald, Kathryn Beal, Igor Seledtsov, Vladimir Molodtsov, Brian J Raney, Hiram Clawson and 16 more

Abstract read
In one paragraph

Article in Genome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

  1. Article
  2. Accelerating minimap2 for whole-genome alignment.Bioinformatics (Oxford, England) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. MAFin: motif detection in multiple alignment files.Bioinformatics (Oxford, England) · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. A near complete genome for goat genetic and genomic research.Genetics, selection, evolution : GSE · 2021
    Article
  19. Article
  20. Article
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

26 authors.

Dent EarlCenter for Biomolecular Science and Engineering, University of California Santa Cruz, Santa Cruz, California 95064, USA; Biomolecular Engineering Department, University of California Santa Cruz, Santa Cruz, California 95064, USA;
Ngan NguyenCenter for Biomolecular Science and Engineering, University of California Santa Cruz, Santa Cruz, California 95064, USA; Biomolecular Engineering Department, University of California Santa Cruz, Santa Cruz, California 95064, USA;
Glenn HickeySchool of Computer Science, McGill University, Montreal, QC H3A 0G4, Canada;
Robert S HarrisDepartment of Biology, The Pennsylvania State University, University Park, Pennsylvania 16801, USA;
Stephen FitzgeraldEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom;
Kathryn BealEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom;
Igor SeledtsovSoftberry Inc., Mount Kisco, New York 10549, USA;
Vladimir MolodtsovSoftberry Inc., Mount Kisco, New York 10549, USA;
Brian J RaneyCenter for Biomolecular Science and Engineering, University of California Santa Cruz, Santa Cruz, California 95064, USA;
Hiram ClawsonCenter for Biomolecular Science and Engineering, University of California Santa Cruz, Santa Cruz, California 95064, USA;
Jaebum KimDepartment of Animal Biotechnology, Konkuk University, Seoul 143-701, Korea;
Carsten KemenaCentre For Genomic Regulation (CRG), 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain; Westfalian Wilhelms University, Institute of Evolution and Biodiversity, 48149 Muenster, Germany;
Jia-Ming ChangCentre For Genomic Regulation (CRG), 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain; Institute of Human Genetics (IGH), UPR 1142, CNRS, Montpellier, France;
Ionas ErbCentre For Genomic Regulation (CRG), 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain;
Alexander PoliakovDepartment of Energy Joint Genome Institute, Walnut Creek, California 94598, USA;
Minmei HouDepartment of Computer Science, Northern Illinois University, DeKalb, Illinois 60115, USA;
Javier HerreroEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom; The Genome Analysis Centre, Norwich Research Park, Norwich, NR4 7UH, United Kingdom;
William James KentCenter for Biomolecular Science and Engineering, University of California Santa Cruz, Santa Cruz, California 95064, USA; Biomolecular Engineering Department, University of California Santa Cruz, Santa Cruz, California 95064, USA;
Victor SolovyevSoftberry Inc., Mount Kisco, New York 10549, USA;
Aaron E Darlingithree Institute, University of Technology Sydney, NSW 2007, Australia;
Jian MaDepartment of Bioengineering and Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Illinois 61801, USA;
Cedric NotredameCentre For Genomic Regulation (CRG), 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain;
Michael BrudnoDepartment of Computer Science and the Donnelly Centre, University of Toronto, Toronto, ON M5S 3G4, Canada; Centre for Computational Medicine and the Genetics and Genome Biology Program, Hospital for Sick Children, Toronto, ON M5G 1X8, Canada;
Inna DubchakDepartment of Energy Joint Genome Institute, Walnut Creek, California 94598, USA; Lawrence Berkeley National Laboratory, Berkeley, California 94710, USA;
David HausslerCenter for Biomolecular Science and Engineering, University of California Santa Cruz, Santa Cruz, California 95064, USA; Biomolecular Engineering Department, University of California Santa Cruz, Santa Cruz, California 95064, USA; Howard Hughes Medical Institute, Chevy Chase, Maryland 20815-6789, USA.
Benedict PatenCenter for Biomolecular Science and Engineering, University of California Santa Cruz, Santa Cruz, California 95064, USA; Biomolecular Engineering Department, University of California Santa Cruz, Santa Cruz, California 95064, USA;

Funding

The UCSC Genome BrowserU41HG002371 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI KENT, WILLIAM JAMES · 2012 to 2021
$36.6M
Training SubprojectU54HG007990 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAUSSLER, DAVID H, PATTERSON, DAVID · 2014 to 2018
$14.8M
EDAC: ENCODE Data Analysis CenterU01HG004695 · NHGRI · EUROPEAN MOLECULAR BIOLOGY LABORATORY · PI BIRNEY, EWAN · 2008 to 2012
$6.4M
Computational Methods for Next-Generation Comparative GenomicsR01HG007352 · NHGRI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI MA, JIAN · 2014 to 2023
$2.8M
IMPROVE GENOME ANNOTATION USING MULTIPLE SEQUENCE ALIGNMENT RELIABILITY SCORESR21HG006464 · NHGRI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI MA, JIAN · 2012 to 2013
$383k
Detect small and very small in-space inversions and improve alignment qualityR15HG005913 · NHGRI · NORTHERN ILLINOIS UNIVERSITY · PI HOU, MINMEI · 2010 to 2010
$316k
European Research Council 232947Howard Hughes Medical InstituteNHGRI NIH HHS 2U41 HG002371-13NHGRI NIH HHS 5U01HG004695NHGRI NIH HHS R01 HG007352NHGRI NIH HHS R01HG007352NHGRI NIH HHS R15 HG005913NHGRI NIH HHS R15HG005913NHGRI NIH HHS R21 HG006464NHGRI NIH HHS R21HG006464NHGRI NIH HHS U01 HG004695NHGRI NIH HHS U41 HG002371NHGRI NIH HHS U54 HG007990Wellcome Trust 095908
6 · The paper itself

Abstract

Multiple sequence alignments (MSAs) are a prerequisite for a wide variety of evolutionary analyses. Published assessments and benchmark data sets for protein and, to a lesser extent, global nucleotide MSAs are available, but less effort has been made to establish benchmarks in the more general problem of whole-genome alignment (WGA). Using the same model as the successful Assemblathon competitions, we organized a competitive evaluation in which teams submitted their alignments and then assessments were performed collectively after all the submissions were received. Three data sets were used: Two were simulated and based on primate and mammalian phylogenies, and one was comprised of 20 real fly genomes. In total, 35 submissions were assessed, submitted by 10 teams using 12 different alignment pipelines. We found agreement between independent simulation-based and statistical assessments, indicating that there are substantial accuracy differences between contemporary alignment tools. We saw considerable differences in the alignment quality of differently annotated regions and found that few tools aligned the duplications analyzed. We found that many tools worked well at shorter evolutionary distances, but fewer performed competitively at longer distances. We provide all data sets, submissions, and assessment programs for further study and provide, as a resource for future benchmarking, a convenient repository of code and data for reproducing the simulation assessments.

Indexed as

GenomeSoftwareAnimalsComputational BiologyComputer SimulationDatasets as TopicGenome-Wide Association StudyGenomicsHumansMammalsPhylogenyReproducibility of ResultsSequence Alignment

Identifiers

PMID25273068
PMCPMC4248324

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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.