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“Omics” basically just studies that give you lots of quantitative data (measurements) characterizing everything that’s present in a sample. They typically use high-throughput techniques so you can get lots of data w/out “too” much work, but a lot of data requires lots of computational work to try to make sense of it! some common terms you might see… genomics - looks at DNA sequences, function, organization etc. epigenomics - looks at methylation, acetylation, etc. metagenomics - looks at environmental samples transcriptomics - looks at transcription (e.g. w/RNA-seq to measure mRNA levels) proteomics - looks at proteins (typically w/mass spec) phosphoproteomics - looks at phosphorylation metabolomics - looks at metabolites (measures small biochemical molecules) usually w/mass spec these small molecules can be precursors or building blocks for reactions (sugars, lipids etc.) including modified forms molecules formed as intermediates or breakdown products from biochemical processes signalling molecules (hormones, etc.) Those are just a taste of various kinds of things you can look for. There are a lot more! Mainly involving variations on those. And most of the omics stuff can be done at different “levels” including meta - environmental samples single cell (often abbreviated sc) spatial - looking at where things happen within a tissue or cell, etc. (e.g. looking at which cells in a tissue things are being transcribed in) often involves fluorescence! more about all sorts of things: #365DaysOfScience All (with topics listed) 👉 http://bit.ly/2OllAB0 or search blog: http://thebumblingbiochemist.com