Evidence map›Paper›PMID 19264800›Full record

ArticleNucleic acids research2009

Finding genes in Schistosoma japonicum: annotating novel genomes with help of extrinsic evidence.

Brona Brejová, Tomás Vinar, Yangyi Chen, Shengyue Wang, Guoping Zhao, Daniel G Brown, Ming Li, Yan Zhou

Abstract readValidation Study
In one paragraph

Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Genome annotation of disease-causing microorganisms.Briefings in bioinformatics · 2021
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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

8 authors.

Brona BrejováDepartment of Computer Science, Faculty of Mathematics, Physics, and Informatics, Comenius University, Bratislava, Slovakia.
Tomás Vinar
Yangyi Chen
Shengyue Wang
Guoping Zhao
Daniel G Brown
Ming Li
Yan Zhou

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have developed a novel method for estimating the parameters of hidden Markov models for gene finding in newly sequenced species. Our approach does not rely on curated training data sets, but instead uses extrinsic evidence (including paired-end ditags that have not been used in gene finding previously) and iterative training. This new method is particularly suitable for annotation of species with large evolutionary distance to the closest annotated species. We have used our approach to produce an initial annotation of more than 16,000 genes in the newly sequenced Schistosoma japonicum draft genome. We established the high quality of our predictions by comparison to full-length cDNAs (withdrawn from the extrinsic evidence) and to CEGMA core genes. We also evaluated the effectiveness of the new training procedure on Caenorhabditis elegans genome. ExonHunter and the newest parametric files for S. japonicum genome are available for download at www.bioinformatics.uwaterloo.ca/downloads/exonhunter.

Indexed as

Genes, HelminthAnimalsCaenorhabditis elegansGenome, HelminthGenomicsMarkov ChainsPhylogenySchistosoma japonicumSoftware

Identifiers

PMID19264800
PMCPMC2673418

What OpenQuestion holds

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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.