Geminivirus data warehouse: a database enriched with machine learning approaches.

ABSTRACT:

Background

The Geminiviridae family encompasses a group of single-stranded DNA viruses with twinned and quasi-isometric virions, which infect a wide range of dicotyledonous and monocotyledonous plants and are responsible for significant economic losses worldwide. Geminiviruses are divided into nine genera, according to their insect vector, host range, genome organization, and phylogeny reconstruction. Using rolling-circle amplification approaches along with high-throughput sequencing technologies, thousands of full-length geminivirus and satellite genome sequences were amplified and have become available in public databases. As a consequence, many important challenges have emerged, namely, how to classify, store, and analyze massive datasets as well as how to extract information or

SUBMITTER: Silva JCF 

PROVIDER: S-EPMC5420152 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature