Journal
NUCLEIC ACIDS RESEARCH
Volume 44, Issue D1, Pages D694-D697Publisher
OXFORD UNIV PRESS
DOI: 10.1093/nar/gkv1239
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Funding
- National Basic Research Program from the Ministry of Science and Technology of China [2015CB554204]
- National Science and Technology Major Projects for Major New Drugs Innovation and Development [2013ZX09304101]
- Program for Changjiang Scholars and Innovative Research Team in University [IRT13007]
- PUMC Youth Fund
- Fundamental Research Funds for the Central Universities [3332013118]
- Biologic Medicine Information Center, National Scientific Data Sharing Platform for Population and Health
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The virulence factor database (VFDB, http://www.mgc.ac.cn/VFs/) is dedicated to providing up-to-date knowledge of virulence factors (VFs) of various bacterial pathogens. Since its inception the VFDB has served as a comprehensive repository of bacterial VFs for over a decade. The exponential growth in the amount of biological data is challenging to the current database in regard to big data analysis. We recently improved two aspects of the infrastructural dataset of VFDB: (i) removed the redundancy introduced by previous releases and generated two hierarchical datasets - one core dataset of experimentally verified VFs only and another full dataset including all known and predicted VFs and (ii) refined the gene annotation of the core dataset with controlled vocabularies. Our efforts enhanced the data quality of the VFDB and promoted the usability of the database in the big data era for the bioinformatic mining of the explosively growing data regarding bacterial VFs.
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