something something stupid Canadian wolf bird

following on from that, when you use single cell data, you should bear in mind the different biases of snRNAseq vs scRNAseq - this lnc effect being one, also different expectations about intron/exon ratios in read mapping (which in my experience can be huge). 3/3

So imho, we THOUGHT they were rarer than they are because of recovery bias. That gets exponentially more complex when you consider that a bunch of lncRNAs will be cell type specific, biasing it even further. /2

One realisation I had while looking at the lncRNA ivory in single nucleus data: lncRNAs are generally nuclear, so in bulk RNAseq they are depleted because the nuclei make up a small volume of what gets extracted. In single nucleus RNAseq you will thus massively enrich any such transcripts. 1/

i knew finnish people were tall, but wow

How cool would it be to 3D print or sculpt the tree and set it in resin? It would be quite the centrepiece.

Do share the author, this sounds like something that should go on my list.

I'll be keeping my eyes peeled.

I really liked the community science approach, it sounds like it must have been a lot of fun! Fingers crossed for more interesting mutants.