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#Transcriptomics

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Does anyone know where the @bioconductor {estrogen} dataset is derived from?

bioconductor.org/packages/rele

The vignette doesn't really give any details on what the time component is, for example. And I'm sure these are probably sub-samples from an actual experiment that was published somewhere, but I'd love to know where from if it's actually published.

BioconductorestrogenData from 8 Affymetrix genechips, looking at a 2x2 factorial design (with 2 repeats per level).

Doing QC-QA on a new multi-omics dataset (bulk rna-seq, and then three metabolomics), and it's weird to see different analytes having different correlations amongst samples, where there will be a possible outlier for one type but not another.

It is paired though, cancer with adjacent "normal", so it will be interesting to see if I still get any odd-balls after doing cancer / normal ratios and calculating patient - patient correlations.

Dear All,

The Workshop on Genomics, and the Workshop on Phylogenomics are now open for applications for 2024!

Workshop on Genomics - 7th - 20th January 2024 - evomics.org/2024-workshop-on-g

Workshop on Phylogenomics - 21st - 2nd February 2024 - evomics.org/2024-workshop-on-p

There is also some limited Equal Opportunities funding available.

#bioinformatics #genomics #phylogenomics
#transcriptomics #evomics24 #evomics2024

Hey there!
I'm a French researcher in developmental biology, focusing on mammalian sex determination and gonadal development at the genetic level. I have a PhD in bioinformatics but I do wet and dry lab.
I am a free (as in freedom) and open source software advocate, formerly actively involved in FOSS groups.
I love dataviz, photography, classic rock music, and playing video games.
I moved from another Mastodon instance.
#introductions #stem #DevBio #genetics #genomics #transcriptomics #SexDet

If you've ever felt like you are in over your head trying to define #RStats linear models for your -omics experiments, this paper does an excellent job of showing the reasoning why the model is defined that way, what contrasts you want to define, and what is actually being tested.

A guide to creating design matrices for gene expression experiments
f1000research.com/articles/9-1

These apply to more than just gene expression #transcriptomics. Work for #proteomics and #metabolomcs too. 😉

f1000research.comF1000Research Article: A guide to creating design matrices for gene expression experiments.Read the latest article version by Charity W. Law, Kathleen Zeglinski, Xueyi Dong, Monther Alhamdoosh, Gordon K. Smyth, Matthew E. Ritchie, at F1000Research.

I forgot to do this, so here it is:
Hello #mastodon! I'm Luca, a #PhD student in #complexsystems at the University of Turin (#unito).

I mainly work in #genomics and #transcriptomics. My project involves the study of the #cancer #transportome, and its role in the overall #cellbiology.
I code in #python and #R, but i'm trying to (slowly) learn about #rustlang. I use #archlinux, btw.

I also play a ton of #boardgames and #videogames. I love #mechanicalkeyboard (s) and own a #corne myself.

Hello everyone! Here is my #introduction.

I'm a #bioinformatics manager at the Canadian Centre for Computational Genomics (C3G), based in #McGill University.

Most recently, I helped coordinate the bioinformatics analysis for the #COVID19 sequencing effort in the province of Quebec. Additionally, I have experience in #transcriptomics, #GenomeAssembly and #OxfordNanopore, among other things.

Excited to give this new platform a try, so far, so good!

#introduction
Heyo, I'm a #bioinformatician nearing the end of my PhD at #OsloMet , working with #transcriptomics and microRNA in Salmon, though my secret love is for #syntheticbiology .

Other interests include #gaming #dnd #polyamory #philosophy #transhumanism (the egalitarian European kind, libertarians beware), #maker and #Hacker culture, sci-fi and #fantasy (particularly Clarke and Pratchett), #cryptography (fuck cryptocurrency and web3), #art and #theatre .

Currently listening to #mika

I guess it might be time for an #introduction on this site.

I am a research analyst in academic #bioinformatics. I'm interested in new computational #metabolomics methods, #transcriptomics, data integration, etc.

I know just enough #statistics to be useful / dangerous, depending on your POV.

I use #rstats heavily (in a lab that mostly uses #python), and believe in the value of graphing your data, as well as making work reproducible and as open as possible.