Evidence map›Paper›PMID 15980510›Full record

ArticleNucleic acids research2005

GeneMark: web software for gene finding in prokaryotes, eukaryotes and viruses.

John Besemer, Mark Borodovsky

Abstract read
In one paragraph

Article in Nucleic acids research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 840 papers.

0numbers the graph read from it
0cells of the map it votes in
840citing 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

840 citing papers in PubMed.

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  12. Chromosomal evolution and speciation inferred from chromosome-scale genome assemblies in three Cupressaceae species.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026
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  17. Genome annotation ofMicrobiology resource announcements · 2026
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780 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

2 authors.

John BesemerSchool of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Mark Borodovsky

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The task of gene identification frequently confronting researchers working with both novel and well studied genomes can be conveniently and reliably solved with the help of the GeneMark web software (http://opal.biology.gatech.edu/GeneMark/). The website provides interfaces to the GeneMark family of programs designed and tuned for gene prediction in prokaryotic, eukaryotic and viral genomic sequences. Currently, the server allows the analysis of nearly 200 prokaryotic and >10 eukaryotic genomes using species-specific versions of the software and pre-computed gene models. In addition, genes in prokaryotic sequences from novel genomes can be identified using models derived on the spot upon sequence submission, either by a relatively simple heuristic approach or by the full-fledged self-training program GeneMarkS. A database of reannotations of >1000 viral genomes by the GeneMarkS program is also available from the web site. The GeneMark website is frequently updated to provide the latest versions of the software and gene models.

Indexed as

GenesGenes, BacterialGenes, ViralSoftwareAlgorithmsAnimalsComputational BiologyGenomicsHumansInternetMarkov ChainsUser-Computer Interface

Identifiers

PMID15980510
PMCPMC1160247

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.