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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-12

AUTHORS

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

ABSTRACT

BACKGROUND: 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. DESCRIPTION: 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. CONCLUSION: 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. More... »

PAGES

169

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12870-016-0860-y

DOI

http://dx.doi.org/10.1186/s12870-016-0860-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052131445

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27472917


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