BioDataome: a collection of uniformly preprocessed and automatically annotated datasets for data-driven biology.

ABSTRACT: Biotechnology revolution generates a plethora of omics data with an exponential growth pace. Therefore, biological data mining demands automatic, 'high quality' curation efforts to organize biomedical knowledge into online databases. BioDataome is a database of uniformly preprocessed and disease-annotated omics data with the aim to promote and accelerate the reuse of public data. We followed the same preprocessing pipeline for each biological mart (microarray gene expression, RNA-Seq gene expression and DNA methylation) to produce ready for downstream analysis datasets and automatically annotated them with disease-ontology terms. We also designate datasets that share common samples and automatically discover control samples in case-control studies. Currently, BioDataome includes ∼5600 data

SUBMITTER: Lakiotaki K 

PROVIDER: S-EPMC5836265 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature