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

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 negativ...

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Detalles Bibliográficos
Autores principales: Lose, Thoba, van Heusden, Peter, Christoffels, Alan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883708/
https://www.ncbi.nlm.nih.gov/pubmed/31504165
http://dx.doi.org/10.1093/bioinformatics/btz658

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883708/
https://www.ncbi.nlm.nih.gov/pubmed/31504165
http://dx.doi.org/10.1093/bioinformatics/btz658

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