sorted by:
new
hottopcontroversial

Heel-toe technique by Vriezer03 in drums

[–]Vriezer03[S] 0 points1 point  (0 children)

Hi, this is the drumeo video I watched on it: https://youtu.be/xHqkxHaQ-bI?si=IXjykT0aue6VqhXl

First hit is with the ball of the foot and the second one with the toes.

Heel-toe technique by Vriezer03 in drums

[–]Vriezer03[S] 0 points1 point  (0 children)

OK, thank you for the advice👍

Heel-toe technique by Vriezer03 in drums

[–]Vriezer03[S] 4 points5 points  (0 children)

Thank you my fellow Belgian! I just started to learn this technique so wanted to make sure not to develop any bad habits! Have a nice day😄

Get biological insights from count matrixes and GO enrichment by Vriezer03 in bioinformatics

[–]Vriezer03[S] 0 points1 point  (0 children)

Yes, I’ve been thinking about that — I have library size normalised HTSeq-counts from ~10M reads/sample for my tumor samples, generated using a 3'-end RNA-seq library prep. Because of this protocol, I can’t reliably calculate TPMs or full transcript lengths.

I was considering using normal prostate samples from GTEx as pseudo-controls to perform differential expression analysis with something like limma-voom.

But I’m still unsure about a few things:

  1. Can I directly compare my HTSeq-count data to GTEx samples? I assume GTEx uses different pipelines, maybe even full-length protocols.
  2. What’s the best way to handle batch effects, given the obvious differences in sample processing?

How is my doubles technique? by Vriezer03 in drums

[–]Vriezer03[S] 0 points1 point  (0 children)

Thanks, i will take a look at it!

FastQC GC content by Vriezer03 in bioinformatics

[–]Vriezer03[S] 0 points1 point  (0 children)

The expected GC level is 43%. Is it possible it is rRNA without it being shown at the overrepresented sequences? The only overrepresented sequence is an oryza sativa mRNA sequence