Evidence map›Paper›PMID 19176791›Full record

ArticleGenome research2009

Multiple whole-genome alignments without a reference organism.

Inna Dubchak, Alexander Poliakov, Andrey Kislyuk, Michael Brudno

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed, 78 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Whole-Genome Alignment and Comparative Annotation.Annual review of animal biosciences · 2019
    Review
  7. Article
  8. Genomics & informatics · 2017
    Article
  9. Article
  10. Ensembl comparative genomics resources.Database : the journal of biological databases and curation · 2016
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

4 authors at 3 institutions in 2 countries.

Inna DubchakGenome Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA.
Alexander Poliakov
Andrey Kislyuk
Michael Brudno
Lawrence Berkeley National Laboratory · USGeorgia Institute of Technology · USUniversity of Toronto · CA

Funding

Comparative genomics with the VISTA/LAGAN computational systemR01GM081080 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI DUBCHAK, INNA · 2007 to 2009
$899k
NIGMS NIH HHS R01 GM081080NIGMS NIH HHS R01-GM81080
6 · The paper itself

Abstract

Multiple sequence alignments have become one of the most commonly used resources in genomics research. Most algorithms for multiple alignment of whole genomes rely either on a reference genome, against which all of the other sequences are laid out, or require a one-to-one mapping between the nucleotides of the genomes, preventing the alignment of recently duplicated regions. Both approaches have drawbacks for whole-genome comparisons. In this paper we present a novel symmetric alignment algorithm. The resulting alignments not only represent all of the genomes equally well, but also include all relevant duplications that occurred since the divergence from the last common ancestor. Our algorithm, implemented as a part of the VISTA Genome Pipeline (VGP), was used to align seven vertebrate and six Drosophila genomes. The resulting whole-genome alignments demonstrate a higher sensitivity and specificity than the pairwise alignments previously available through the VGP and have higher exon alignment accuracy than comparable public whole-genome alignments. Of the multiple alignment methods tested, ours performed the best at aligning genes from multigene families-perhaps the most challenging test for whole-genome alignments. Our whole-genome multiple alignments are available through the VISTA Browser at http://genome.lbl.gov/vista/index.shtml.

Indexed as

Computational BiologyGenomeAlgorithmsDatabases, Nucleic AcidExonsMultigene FamilySequence AlignmentSequence Analysis, DNASoftware

Identifiers

PMID19176791
PMCPMC2665786
OpenAlexW2098816661

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.