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A web-based bioinformatics interface applied to the GENOSOJA project: databases and pipelines

Overview of attention for article published in Genetics and Molecular Biology, June 2012
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Title
A web-based bioinformatics interface applied to the GENOSOJA project: databases and pipelines
Published in
Genetics and Molecular Biology, June 2012
DOI 10.1590/s1415-47572012000200002
Pubmed ID
Authors

Leandro Costa do Nascimento, Gustavo Gilson Lacerda Costa, Eliseu Binneck, Gonçalo Amarante Guimarães Pereira, Marcelo Falsarella Carazzolle

Abstract

The Genosoja consortium is an initiative to integrate different omics research approaches carried out in Brazil. Basically, the aim of the project is to improve the plant by identifying genes involved in responses against stresses that affect domestic production, like drought stress and Asian Rust fungal disease. To do so, the project generated several types of sequence data using different methodologies, most of them sequenced by next generation sequencers. The initial stage of the project is highly dependent on bioinformatics analysis, providing suitable tools and integrated databases. In this work, we describe the main features of the Genosoja web database, including the pipelines to analyze some kinds of data (ESTs, SuperSAGE, microRNAs, subtractive cDNA libraries), as well as web interfaces to access information about soybean gene annotation and expression.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 23%
Student > Ph. D. Student 6 20%
Student > Master 5 17%
Student > Doctoral Student 3 10%
Professor 3 10%
Other 4 13%
Unknown 2 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 77%
Biochemistry, Genetics and Molecular Biology 2 7%
Computer Science 1 3%
Earth and Planetary Sciences 1 3%
Materials Science 1 3%
Other 0 0%
Unknown 2 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 July 2012.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Genetics and Molecular Biology
#551
of 771 outputs
Outputs of similar age
#139,921
of 179,218 outputs
Outputs of similar age from Genetics and Molecular Biology
#6
of 16 outputs
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