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

Overview of attention for article published in Frontiers in Plant Science, January 2012
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  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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2 X users

Citations

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68 Dimensions

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139 Mendeley
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4 CiteULike
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Title
TriAnnot: A Versatile and High Performance Pipeline for the Automated Annotation of Plant Genomes
Published in
Frontiers in Plant Science, January 2012
DOI 10.3389/fpls.2012.00005
Pubmed ID
Authors

Philippe Leroy, 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

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.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 3 2%
Brazil 2 1%
Canada 2 1%
Italy 1 <1%
Netherlands 1 <1%
India 1 <1%
Taiwan 1 <1%
Greece 1 <1%
United States 1 <1%
Other 0 0%
Unknown 126 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 42 30%
Student > Ph. D. Student 36 26%
Student > Master 13 9%
Professor 10 7%
Student > Bachelor 6 4%
Other 20 14%
Unknown 12 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 92 66%
Biochemistry, Genetics and Molecular Biology 14 10%
Computer Science 9 6%
Medicine and Dentistry 2 1%
Engineering 2 1%
Other 5 4%
Unknown 15 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 June 2012.
All research outputs
#14,146,599
of 22,668,244 outputs
Outputs from Frontiers in Plant Science
#8,028
of 19,828 outputs
Outputs of similar age
#153,417
of 244,068 outputs
Outputs of similar age from Frontiers in Plant Science
#60
of 195 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19,828 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 55% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 244,068 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 195 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.