Evidence map›Paper›PMID 22645565›Full record

ArticleFrontiers in plant science2012

TriAnnot: A Versatile and High Performance Pipeline for the Automated Annotation of Plant Genomes.

Philippe Leroy, Nicolas Guilhot, Hiroaki Sakai, Aurélien Bernard, Frédéric Choulet, Sébastien Theil, Sébastien Reboux, Naoki Amano, Timothée Flutre, Céline Pelegrin and 14 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
10.1field-weighted citation impact, top 2% of its field
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

40 citing papers in PubMed, 76 citations in OpenAlex.

  1. Article
  2. Progress and innovations of gene cloning in wheat and its close relatives.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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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

24 authors at 6 institutions in 8 countries.

Philippe LeroyUMR 1095, Genetics, Diversity and Ecophysiology of Cereals, Institut National de la Recherche Agronomique-Université Blaise Pascal Clermont-Ferrand, France.
Nicolas Guilhot
Hiroaki Sakai
Aurélien Bernard
Frédéric Choulet
Sébastien Theil
Sébastien Reboux
Naoki Amano
Timothée Flutre
Céline Pelegrin
Hajime Ohyanagi
Michael Seidel
Franck Giacomoni
Mathieu Reichstadt
Michael Alaux
Emmanuelle Gicquello
Fabrice Legeai
Lorenzo Cerutti
Hisataka Numa
Tsuyoshi Tanaka
Klaus Mayer
Takeshi Itoh
Hadi Quesneville
Catherine Feuillet
Institut National de la Recherche Agronomique · MAInstitute of Agrobiological Sciences · JPHelmholtz Zentrum München · DEMitsubishi Group (Japan) · JPSIB Swiss Institute of Bioinformatics · CHUniversité Clermont Auvergne · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In support of the international effort to obtain a reference sequence of the bread wheat genome and to provide plant communities dealing with large and complex genomes with a versatile, easy-to-use online automated tool for annotation, we have developed the TriAnnot pipeline. Its modular architecture allows for the annotation and masking of transposable elements, the structural, and functional annotation of protein-coding genes with an evidence-based quality indexing, and the identification of conserved non-coding sequences and molecular markers. The TriAnnot pipeline is parallelized on a 712 CPU computing cluster that can run a 1-Gb sequence annotation in less than 5 days. It is accessible through a web interface for small scale analyses or through a server for large scale annotations. The performance of TriAnnot was evaluated in terms of sensitivity, specificity, and general fitness using curated reference sequence sets from rice and wheat. In less than 8 h, TriAnnot was able to predict more than 83% of the 3,748 CDS from rice chromosome 1 with a fitness of 67.4%. On a set of 12 reference Mb-sized contigs from wheat chromosome 3B, TriAnnot predicted and annotated 93.3% of the genes among which 54% were perfectly identified in accordance with the reference annotation. It also allowed the curation of 12 genes based on new biological evidences, increasing the percentage of perfect gene prediction to 63%. TriAnnot systematically showed a higher fitness than other annotation pipelines that are not improved for wheat. As it is easily adaptable to the annotation of other plant genomes, TriAnnot should become a useful resource for the annotation of large and complex genomes in the future.

Indexed as

clustergene modelspipelineplant genomestructural and functional annotationtransposable elementswheat

Identifiers

PMID22645565
PMCPMC3355818
OpenAlexW2043481864

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.