Evidence map›Paper›PMID 20495551›Full record

ArticleNature biotechnology2010

Comparative assessment of methods for aligning multiple genome sequences.

Xiaoyu Chen, Martin Tompa

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Nature biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. FGCD: a database of fungal gene clusters related to secondary metabolism.Database : the journal of biological databases and curation · 2024
    Article
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  7. Coordinate systems for supergenomes.Algorithms for molecular biology : AMB · 2018
    Article
  8. Review
  9. Ensembl comparative genomics resources.Database : the journal of biological databases and curation · 2016
    Article
  10. Review
  11. Article
  12. Article
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  15. Article
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  17. Article
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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

2 authors.

Xiaoyu ChenDepartment of Computer Science and Engineering, University of Washington, Seattle, Washington, USA.
Martin Tompa

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sequence alignment is a difficult computational problem. There have been compelling pleas for methods to assess whole-genome multiple sequence alignments and compare the alignments produced by different tools. We assess the four ENCODE alignments, each of which aligns 28 vertebrates on 554 Mbp of total input sequence. We measure the level of agreement among the alignments and compare their coverage and accuracy. We find a disturbing lack of agreement among the alignments not only in species distant from human, but even in mouse, a well-studied model organism. Overall, the assessment shows that Pecan produces the most accurate or nearly most accurate alignment in all species and genomic location categories, while still providing coverage comparable to or better than that of the other alignments in the placental mammals. Our assessment reveals that constructing accurate whole-genome multiple sequence alignments remains a significant challenge, particularly for noncoding regions and distantly related species.

Indexed as

AnimalsBase SequenceGenomeHumansSequence AlignmentSoftware

Identifiers

PMID20495551

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.