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GigaTON: an extensive publicly searchable database providing a new reference transcriptome in the pacific oyster Crassostrea gigas

Overview of attention for article published in BMC Bioinformatics, December 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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1 blog
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Citations

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36 Dimensions

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78 Mendeley
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1 CiteULike
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Title
GigaTON: an extensive publicly searchable database providing a new reference transcriptome in the pacific oyster Crassostrea gigas
Published in
BMC Bioinformatics, December 2015
DOI 10.1186/s12859-015-0833-4
Pubmed ID
Authors

Guillaume Riviere, Christophe Klopp, Nabihoudine Ibouniyamine, Arnaud Huvet, Pierre Boudry, Pascal Favrel

Abstract

The Pacific oyster, Crassostrea gigas, is one of the most important aquaculture shellfish resources worldwide. Important efforts have been undertaken towards a better knowledge of its genome and transcriptome, which makes now C. gigas becoming a model organism among lophotrochozoans, the under-described sister clade of ecdysozoans within protostomes. These massive sequencing efforts offer the opportunity to assemble gene expression data and make such resource accessible and exploitable for the scientific community. Therefore, we undertook this assembly into an up-to-date publicly available transcriptome database: the GigaTON (Gigas TranscriptOme pipeliNe) database. We assembled 2204 million sequences obtained from 114 publicly available RNA-seq libraries that were realized using all embryo-larval development stages, adult organs, different environmental stressors including heavy metals, temperature, salinity and exposure to air, which were mostly performed as part of the Crassostrea gigas genome project. This data was analyzed in silico and resulted into 56621 newly assembled contigs that were deposited into a publicly available database, the GigaTON database. This database also provides powerful and user-friendly request tools to browse and retrieve information about annotation, expression level, UTRs, splice and polymorphism, and gene ontology associated to all the contigs into each, and between all libraries. The GigaTON database provides a convenient, potent and versatile interface to browse, retrieve, confront and compare massive transcriptomic information in an extensive range of conditions, tissues and developmental stages in Crassostrea gigas. To our knowledge, the GigaTON database constitutes the most extensive transcriptomic database to date in marine invertebrates, thereby a new reference transcriptome in the oyster, a highly valuable resource to physiologists and evolutionary biologists.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
France 1 1%
South Africa 1 1%
Unknown 75 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 27%
Student > Master 12 15%
Student > Ph. D. Student 10 13%
Student > Bachelor 7 9%
Professor > Associate Professor 4 5%
Other 8 10%
Unknown 16 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 41%
Biochemistry, Genetics and Molecular Biology 13 17%
Environmental Science 6 8%
Computer Science 2 3%
Veterinary Science and Veterinary Medicine 1 1%
Other 5 6%
Unknown 19 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 08 December 2015.
All research outputs
#3,558,838
of 22,834,308 outputs
Outputs from BMC Bioinformatics
#1,271
of 7,288 outputs
Outputs of similar age
#60,200
of 387,655 outputs
Outputs of similar age from BMC Bioinformatics
#25
of 149 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,288 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 82% 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 387,655 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.