One of the outcomes of the EpiLipidNET COST action is a paper about the data analysis of experimental lipidomics data: Guiding the choice of informatics software and tools for lipidomics research applications (doi:10.1038/s41592-022-01710-0).

Our BiGCaT team wrote up BridgeDb for identifier mapping and WikiPathways for pathways/enrichment analysis. See also the WikiPathways Lipids Portal.

But I also wanted to map the tools from the article to ELIXIR databases, particularly FAIRsharing, bio.tools, and TeSS. I wish journals would just require this as part of the wish to make science more FAIR. While at it, I realized I could also add Wikidata item annotations and link to Scholia (see also these blog posts).

So, I had a lot of teaching and that besides project deliverables and final reports, a few project meetings, it left me with little time to blog my monthly BridgeDb NWO grant update. But here goes, as a lot did happen in the background.

Identifiers are central to FAIR. Our BiGCaT research group (see also this Scholia page) studies how to answer biological questions and identifiers are then essential to integrate experimental data (e.g. omics data) with existing knowledge (e.g. biological pathway databases). BridgeDb is our go to tool here, of course.

BridgeDb has since Open PHACTS (doi:10.1016/j.drudis.2012.05.016) support for identifiers.org (doi:10.1093/bioinformatics/btaa864).

When you get asked to contribute your expertise, you do. To me, this is perfectly in line with doing open science. Sometimes it's a skill rather than knowledge. But when this helps a project that practices open science I would be insane not to. When you get asked to be listed as an co-author, it is an honor. Author lists have changed and much can be said about this. Essential contributions should be reflected in co-authorships.
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This blog deals with chemblaics in the broader sense. Chemblaics (pronounced chem-bla-ics) is the science that uses computers to solve problems in chemistry, biochemistry and related fields. The big difference between chemblaics and areas such as chem(o)?informatics, chemometrics, computational chemistry, etc, is that chemblaics only uses open source software, open data, and open standards, making experimental results reproducible and validatable. And this is a big difference!
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