COMBAT-TB-NeoDB: fostering tuberculosis research through integrative analysis using graph database technologies.

ABSTRACT:

Motivation

Recent advancements in genomic technologies have enabled high throughput cost-effective generation of 'omics' data from M.tuberculosis (M.tb) isolates, which then gets shared via a number of heterogeneous publicly available biological databases. Albeit useful, fragmented curation negatively impacts the researcher's ability to leverage the data via federated queries.

Results

We present Combat-TB-NeoDB, an integrated M.tb 'omics' knowledge-base. Combat-TB-NeoDB is based on Neo4j and was created by binding the labeled property graph model to a suitable ontology namely Chado. Combat-TB-NeoDB enables researchers to execute complex federated queries by linking prominent biological databases, and supplementary M.tb variants data from published literature.

Availability

SUBMITTER: Lose T 

PROVIDER: S-EPMC9883708 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature