3 ms·
I think it's not only about genomes. Actually, cells have a lot of state. See [1] for a basic, slightly old, CS-biased explanation. That's how a single genome
by nextos 11y ago
I think it's not only about genomes.
Actually, cells have a lot of state. See [1] for a basic, slightly old, CS-biased explanation.
That's how a single genome yields an incredibly varied repertoire of cell types. We need to work a lot on understanding those epigenomes to then get a chance to pinpoint genetic causes of disease.
[1] http://ds9a.nl/amazing-dna/ http://ds9a.nl/amazing-dna/
- kens 11y agoYes, cell state is really important. My view is that nobody is looking at the big picture of state - cells store state in many different ways, with time periods of milliseconds to years. It's probably my CS background, but I think figuring out all the relevant state of a cell is important and neglected. Epigenetics is a part of this, but not enough.
- haihaibye 11y agoRNAseq, the measure of abundance of transcribed genes at a particular cell state is one of the most common assays done with next gen sequencing. That's the big one then of course there is also miRs, transcription factors, methylation, histone marks, chromatin conformation capture. As someone with a CS background who has worked almost 5 years in bioinformatics, one thing to realise is if you think something obvious is not done, either you're missing the right search term on pubmed or there's some horrible lab issue that makes it really hard (and we need a new assay/tech)