Among the powerful tools for physiological omics is the study of RNA, where broad sequencing of RNA leads to hypothesis generation and testing while providing observational discovery.
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RNA sequencing
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RNA-seq data processing is important for interpreting transcript-level mapping in the context of protein biology because many protein-coding genes have diverse noncoding transcripts.
RNA sequencing resources are transforming understanding of personalized disease insights across model organisms and complex human diseases.
Sequencing methods have expanded identification of non-protein-coding RNA molecules, including nonsense-mediated decay-related RNAs and long non-coding RNAs.
More than one million RNA-sequencing datasets have been generated, creating resources for data scientists to reprocess data and expand larger databases.
Broad RNA sequencing supports hypothesis generation, hypothesis testing, and observational discovery in physiology.