Evidence map›Paper›PMID 12529305›Full record

ArticleGenome research2003

Leveraging the mouse genome for gene prediction in human: from whole-genome shotgun reads to a global synteny map.

Paul Flicek, Evan Keibler, Ping Hu, Ian Korf, Michael R Brent

Abstract read
In one paragraph

Article in Genome research, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Review
  2. Article
  3. Progress, Challenges, and Surprises in Annotating the Human Genome.Annual review of genomics and human genetics · 2020
    Review
  4. Whole-Genome Alignment and Comparative Annotation.Annual review of animal biosciences · 2019
    Review
  5. Article
  6. Article
  7. Article
  8. Genome majority vote improves gene predictions.PLoS computational biology · 2011
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  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

5 authors.

Paul FlicekDepartment of Computer Science and Engineering, Washington University, St. Louis, Missouri 63130, USA.
Evan Keibler
Ping Hu
Ian Korf
Michael R Brent

Funding

Predicting Gene Structure: Vertebrate Genome ComparisonR01HG002278 · NHGRI · WASHINGTON UNIVERSITY · PI BRENT, MICHAEL R · 2002 to 2008
$1.9M
COMPARATIVE GENOMICS AND GENE PREDICTIONK22HG000064 · NHGRI · WASHINGTON UNIVERSITY · PI KORF, IAN F · 2001 to 2006
$1.1M
NHGRI NIH HHS HG02278-01A2NHGRI NIH HHS K22 HG000064NHGRI NIH HHS K22 HG-0064-01NHGRI NIH HHS R01 HG002278
6 · The paper itself

Abstract

The availability of draft sequences for both the mouse and human genomes makes it possible, for the first time, to annotate whole mammalian genomes using comparative methods. TWINSCAN is a gene-prediction system that combines the methods of single-genome predictors like GENSCAN with information derived from genome comparison, thereby improving accuracy. Because TWINSCAN uses genomic sequence only, it is less biased toward highly and/or ubiquitously expressed genes than GENEWISE, GENOMESCAN, and other methods based on evidence derived from transcripts. We show that TWINSCAN improves gene prediction in human using intermediate products from various stages of the sequencing and analysis of the mouse genome, from low-redundancy, whole-genome shotgun reads to the draft assembly and the synteny map. TWINSCAN improves on the prior state of the art even when alignments from only 1X coverage of the mouse genome are available. Gene prediction accuracy improves steadily from 1X through 3X, more slowly from 3X to 4X, and relatively little thereafter. The assembly and the synteny map greatly speed the computations, however. Our human annotation using the mouse assembly is conservative, predicting only 25,622 genes, and appears to be one of the best de novo annotations of the human genome to date.

Indexed as

GenomeGenome, HumanAnimalsBase CompositionChromosome MappingComputational BiologyExonsForecastingGC Rich SequenceGenesHumansMicePredictive Value of TestsSynteny

Identifiers

PMID12529305
PMCPMC430948

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.