RGMQL: scalable and interoperable computing of heterogeneous omics big data and metadata in R/Bioconductor

BACKGROUND: Heterogeneous omics data, increasingly collected through high-throughput technologies, can contain hidden answers to very important and still unsolved biomedical questions. Their integration and processing are crucial mostly for tertiary analysis of Next Generation Sequencing data, altho...

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Detalles Bibliográficos
Autores principales: Pallotta, Simone, Cascianelli, Silvia, Masseroli, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8991469/
https://www.ncbi.nlm.nih.gov/pubmed/35392801
http://dx.doi.org/10.1186/s12859-022-04648-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8991469/
https://www.ncbi.nlm.nih.gov/pubmed/35392801
http://dx.doi.org/10.1186/s12859-022-04648-4

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