Evidence map›Paper›PMID 20144198›Full record

ArticleBMC bioinformatics2010

Parameters for accurate genome alignment.

Martin C Frith, Michiaki Hamada, Paul Horton

Abstract read
In one paragraph

Article in BMC bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers.

0numbers the graph read from it
0cells of the map it votes in
141citing 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

141 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. NEAR: neural embeddings for amino acid relationships.Bioinformatics (Oxford, England) · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. NEAR: Neural Embeddings for Amino acid Relationships.bioRxiv : the preprint server for biology · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Chromosome-level genome assembly of the medicinal insect Blaps rhynchopetera using Nanopore and Hi-C technologies.DNA research : an international journal for rapid publication of reports on genes and genomes · 2024
    Article
  20. Article

81 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.

Martin C FrithComputational Biology Research Center, Institute for Advanced Industrial Science and Technology, Tokyo 135-0064, Japan. martin@cbrc.jp
Michiaki Hamada
Paul Horton

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenome sequence alignments form the basis of much research. Genome alignment depends on various mundane but critical choices, such as how to mask repeats and which score parameters to use. Surprisingly, there has been no large-scale assessment of these choices using real genomic data. Moreover, rigorous procedures to control the rate of spurious alignment have not been employed.

resultsWe have assessed 495 combinations of score parameters for alignment of animal, plant, and fungal genomes. As our gold-standard of accuracy, we used genome alignments implied by multiple alignments of proteins and of structural RNAs. We found the HOXD scoring schemes underlying alignments in the UCSC genome database to be far from optimal, and suggest better parameters. Higher values of the X-drop parameter are not always better. E-values accurately indicate the rate of spurious alignment, but only if tandem repeats are masked in a non-standard way. Finally, we show that gamma-centroid (probabilistic) alignment can find highly reliable subsets of aligned bases.

conclusionsThese results enable more accurate genome alignment, with reliability measures for local alignments and for individual aligned bases. This study was made possible by our new software, LAST, which can align vertebrate genomes in a few hours http://last.cbrc.jp/.

Indexed as

GenomeBase SequenceComputational BiologyMolecular Sequence DataProteinsRNASequence AlignmentSequence Analysis, RNAProteinsRNA

Identifiers

PMID20144198
PMCPMC2829014

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.