I feel very lucky that @SeqeraLabs agreed to take on the @MultiQC project when I joined, so that it can continue to grow and help the bioinformatics / scientific community 🧬🎉📈
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RT @SeqeraLabs
Genomic data management can be a challenge, but with #MultiQC, it doesn't have to be.

This open-source tool, with '000s of users, helps researchers quickly and easily assess the quality of their genomics data across multiple samples 🧬💻

Lea…
https://twitter.com/SeqeraLabs/status/1633415167361916929

Scientists isolated enzyme (Huc) that allows soil bacteria to consume hydrogen from the air and convert it into energy, producing electricity directly when exposed to hydrogen.

@nature #Pedology #Science @MonashBioinfo #Enzyme #microbiology

https://www.livescience.com/scientists-discover-enzyme-that-can-turn-air-into-energy-unlocking-potential-new-energy-source

This is my first toot, mundanely to clarify for the #ABACBS2022 conference that the preferred hashtag is now #ABACBS22

@SimonSadedin @pansapiens @MonashBioinfo @pfh @tanyaaneichyk @BeardyMcJohnFace

Getting ready for the #abacbs2022 bioinformatics conference. This is my poster.

In unrelated news, I bought a wacom tablet and some manga authoring software, and it is a lot of fun.

https://logarithmic.net/langevitour/2022-abacbs/

How do Reactome pathways get collapsed to gene sets?

I noticed GMT files from Reactome (and Reactome in MSigDB) sometimes include identifiers of genes which are negatively regulated by given pathway. It looks like a bad thing for GSEA and friends. I wonder if this is intentional or not. An example is IL18 in IL10 signalling pathway (https://reactome.org/content/detail/R-HSA-6783783).