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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| 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 |