Evidence map›Paper›PMID 16083500›Full record

ArticleBMC bioinformatics2005

FIGENIX: intelligent automation of genomic annotation: expertise integration in a new software platform.

Philippe Gouret, Vérane Vitiello, Nathalie Balandraud, André Gilles, Pierre Pontarotti, Etienne G J Danchin

Abstract read
In one paragraph

Article in BMC bioinformatics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

  1. Article
  2. Genome sequence and description ofNew microbes and new infections · 2019
    Article
  3. Article
  4. Article
  5. Article
  6. Noncontiguous finished genome sequences and description ofNew microbes and new infections · 2018
    Article
  7. Article
  8. Article
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  11. Article
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  13. Article
  14. New microbes and new infections · 2018
    Article
  15. Taxonogenomic description of four newNew microbes and new infections · 2018
    Article
  16. Noncontiguous finished genome sequence and description ofNew microbes and new infections · 2018
    Article
  17. Article
  18. Article
  19. Noncontiguous finished genome sequences and description ofNew microbes and new infections · 2017
    Article
  20. Genome sequence and description ofNew microbes and new infections · 2017
    Article

5 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

6 authors.

Philippe GouretEA 3781 EGEE (Evolution, Genome, Environment), Université de Provence, Case 36, Pl. V. Hugo, 13331 Marseille Cedex 03, France. Philippe.Gouret@up.univ-mrs.fr
Vérane Vitiello
Nathalie Balandraud
André Gilles
Pierre Pontarotti
Etienne G J Danchin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTwo of the main objectives of the genomic and post-genomic era are to structurally and functionally annotate genomes which consists of detecting genes' position and structure, and inferring their function (as well as of other features of genomes). Structural and functional annotation both require the complex chaining of numerous different software, algorithms and methods under the supervision of a biologist. The automation of these pipelines is necessary to manage huge amounts of data released by sequencing projects. Several pipelines already automate some of these complex chaining but still necessitate an important contribution of biologists for supervising and controlling the results at various steps.

resultsHere we propose an innovative automated platform, FIGENIX, which includes an expert system capable to substitute to human expertise at several key steps. FIGENIX currently automates complex pipelines of structural and functional annotation under the supervision of the expert system (which allows for example to make key decisions, check intermediate results or refine the dataset). The quality of the results produced by FIGENIX is comparable to those obtained by expert biologists with a drastic gain in terms of time costs and avoidance of errors due to the human manipulation of data.

conclusionThe core engine and expert system of the FIGENIX platform currently handle complex annotation processes of broad interest for the genomic community. They could be easily adapted to new, or more specialized pipelines, such as for example the annotation of miRNAs, the classification of complex multigenic families, annotation of regulatory elements and other genomic features of interest.

Indexed as

Computational BiologyDatabases, GeneticSoftwareAutomationComputer Communication NetworksDocumentationExpert SystemsGene Expression ProfilingHumansInformation Storage and RetrievalPhylogenyProgramming LanguagesSequence HomologySoftware DesignSystems IntegrationUser-Computer Interface

Identifiers

PMID16083500
PMCPMC1188056

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.