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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
BioMed Central Ltd
2022
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Subjects: | |
Online Access: | View Fulltext in Publisher |