@yokofakun@genomic.social
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yokofakun

@yokofakun@genomic.social

#bioinformatics at Institut du Thorax. #Nantes. / France #genetics #cardiogenetics

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yokofakun, to scifi
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"A Thousand Suns episodes 1-6 are now online.
We would like to keep making these until the heat death of the solar system so if you like what you see, please spread the word.
" https://www.youtube.com/watch?v=RXaVgAxtYFI

yokofakun, to history
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A Brief of Human Time https://medialab.github.io/bhht-datascape/#database "a cross-verified database of 2.2 million notable individuals using several editions and ."

yokofakun, to random
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yokofakun, to Cinema French
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🇫🇷 Si vous avez des ustensiles de cuisine en téflon, ce soir il y a "Dark Waters" sur : https://www.arte.tv/fr/videos/111006-000-A/dark-waters/

yokofakun, to LEGO
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yokofakun, to random
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https://github.com/cxli233/FriendsDontLetFriends v4.1 "Friends don't let friends make certain types of data visualization - What are they and why are they bad."

yokofakun, to Insurance
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yokofakun, to climate French
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yokofakun, to France
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"Flight Quotas Hold the Most Significant Potential for Reducing Carbon Emissions from Academic Travel" https://eartharxiv.org/repository/view/5995/ "This study analyzes a unique database of about 130,000 travel segments by car, train and plane in 159 research units across diverse disciplines and locations in ." https://eartharxiv.org/repository/view/5995/

yokofakun, to random
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I wrote a short tutorial about how I manage my lab data (BAMS, genomes, fasta, samples, diseases, etc... ) with and https://github.com/lindenb/hts-rdf/

yokofakun,
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.. and I just added an example about how to link a to a and to a sample : https://github.com/lindenb/hts-rdf/

yokofakun, to random
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"LinkML is a flexible modeling language that allows you to author schemas that describe the structure of your data. The language is designed to allow for both simple use cases such as describing the column headers in a spreadsheet through to creating a complex interlinked schema. "https://linkml.io/linkml/intro/overview.html

yokofakun, to bioinformatics
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I moved all my TSV files containing a descriptions of my BAMs, fasta refs, samples, phenotypes, comment etc... to a . No regret ! I works fine, the graph is git-ed and I can re-generate any TSV file using


yokofakun, to random
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After all those years, WHY didn't you tell me about recursive queries in that find all the descendants of a term in an ontology? https://gist.github.com/lindenb/2b0239f2237ce835fe2d2ddfc9ebeb02

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