Abstract
Genomics, transcriptomics, and proteomics are intimately linked by the central dogma of molecular biology. Bioinformatics is a unique blend of basic biology, genetics, and information sciences and it refers to the use of digital technology to analyze DNA sequence data, RNA (and cDNA) sequence data, and protein sequence information. Genomics elucidates the precise stretches of DNA that constitute discrete genes. Transcriptomics is concerned with a holistic viewpoint of gene expression rather than examining one gene at a time. Contemporary methods for examining RNA–protein interactions include CLIP and RNA-ChIP methods that involve RNA–protein cross-linking followed by antibody-mediated pulldown of targeted complexes. Metabolomics, essentially compound profiling in the cell, in the blood, or in another fluid, is the logical extension of proteomics. Unlike proteomics, metabolomics is concerned with the changes that are wrought by the various proteins produced by the cell. These changes correlate with the posttranslational modification(s) of the protein and the local environment. Large amounts of DNA, RNA, and protein sequencing information are being added to protein databases daily.
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