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CicerTransDB 1.0: a resource for expression and functional study of chickpea transcription factors

Overview of attention for article published in BMC Plant Biology, July 2016
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Title
CicerTransDB 1.0: a resource for expression and functional study of chickpea transcription factors
Published in
BMC Plant Biology, July 2016
DOI 10.1186/s12870-016-0860-y
Pubmed ID
Authors

Saurabh Gayali, Shankar Acharya, Nilesh Vikram Lande, Aarti Pandey, Subhra Chakraborty, Niranjan Chakraborty

Abstract

Transcription factor (TF) databases are major resource for systematic studies of TFs in specific species as well as related family members. Even though there are several publicly available multi-species databases, the information on the amount and diversity of TFs within individual species is fragmented, especially for newly sequenced genomes of non-model species of agricultural significance. We constructed CicerTransDB (Cicer Transcription Factor Database), the first database of its kind, which would provide a centralized putatively complete list of TFs in a food legume, chickpea. CicerTransDB, available at www.cicertransdb.esy.es , is based on chickpea (Cicer arietinum L.) annotation v 1.0. The database is an outcome of genome-wide domain study and manual classification of TF families. This database not only provides information of the gene, but also gene ontology, domain and motif architecture. CicerTransDB v 1.0 comprises information of 1124 genes of chickpea and enables the user to not only search, browse and download sequences but also retrieve sequence features. CicerTransDB also provides several single click interfaces, transconnecting to various other databases to ease further analysis. Several webAPI(s) integrated in the database allow end-users direct access of data. A critical comparison of CicerTransDB with PlantTFDB (Plant Transcription Factor Database) revealed 68 novel TFs in the chickpea genome, hitherto unexplored. Database URL: http://www.cicertransdb.esy.es.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 21%
Student > Bachelor 3 16%
Student > Ph. D. Student 3 16%
Professor > Associate Professor 2 11%
Student > Doctoral Student 1 5%
Other 4 21%
Unknown 2 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 42%
Biochemistry, Genetics and Molecular Biology 3 16%
Engineering 2 11%
Computer Science 1 5%
Unknown 5 26%
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 31 July 2016.
All research outputs
#20,336,685
of 22,881,964 outputs
Outputs from BMC Plant Biology
#2,529
of 3,265 outputs
Outputs of similar age
#320,159
of 365,421 outputs
Outputs of similar age from BMC Plant Biology
#34
of 47 outputs
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