SciPipe

Robust, flexible and resource-efficient pipelines using Go and the commandline. See: #bioinformatics #golang #gopherdata

[SciPipe @scipipe]

Paper out on the work done at NASA Glenn Research Center, using @scipipe for orchestration and #provenance tracking: https://t.co/AcC8Ct0neF

[SciPipe @scipipe]

The link to the post is unfortunately broken now, but it is now available at https://t.co/MfEpmsIQiV

[SciPipe @scipipe]

Paper out on the work done at NASA Glenn Research Center, using @scipipe for orchestration and #provenance tracking: https://t.co/AcC8Ct0neF

[Samuel Lampa - Also: smllmp.bsky.social @smllmp]

#sciworkflows

[Bioinfhotep @pp0196]

@brodriguesco It is mostly about how tasks are generated by a workflow system. In pull based systems, the outputs invoke the steps by dependency matching (e.g make). In push based (dataflow) systems, the inputs trigger the cascade. (for ref : https://t.co/uKYxumNTUH)

[Samuel Lampa - Also: smllmp.bsky.social @smllmp]

🧬 Why didn't Go break into Bioinformatics on a large scale, when it has had a phenomenal growth outside the field? 🧬

I wrote a short post on this question and on using #golang for #bioinformatics in general 👇
https://t.co/SQwX3QBPJy

[SciPipe @scipipe]

"Towards Maintainable and Explainable AI Systems with Dataflow"

Interesting PhD Thesis by Andrei Paleyes at @Cambridge_Uni using SciPipe for its analysis. Topic at the heart of SciPipe's motivation too: Handling complex #machinelearning #sciworkflows! https://t.co/ZaMlrRYNbs

[Samuel Lampa - Also: smllmp.bsky.social @smllmp]

Fun to see @scipipe being used at @NASAglenn in a new paper in @npj Microgravity: https://t.co/3J2FyxE1zE

[SciPipe @scipipe]

Happy to see SciPipe having been used in this study: "Causal fault localisation in dataflow systems" https://t.co/7LF4hlzDNH
#dataflow #sciworkflows

[SciPipe @scipipe]

Happy to see SciPipe having been used in this study: "Causal fault localisation in dataflow systems" https://t.co/7LF4hlzDNH
#dataflow #sciworkflows

[Ming "Tommy" Tang @tangming2005]

Gonomics: Uniting high performance and readability for genomics with Go | Bioinformatics | Oxford Academic https://t.co/e7HoFaDkbv

[SciPipe @scipipe]

Exciting to see more work on using #golang in #bioinformatics: "Gonomics: Uniting high performance and readability for genomics with Go" https://t.co/5P4X99Xkd4

[Awesome Go Repositories @GolangRepos]

scipipe: Robust, flexible and resource-efficient pipelines using Go and the commandline
⭐️ 998
#golang
https://t.co/Bpo3gkzlsp

[SciPipe @scipipe]

Wohoo! We're happy to see that we just reached 1000 @github ⭐️:s! Thank you all for the support! 🤩 And... expect some work on fixes and improvement in the summer! #sciworkflows https://t.co/U7hZzQS1Y4

[SciPipe @scipipe]

#SciWorkflows

[Geert van Geest @geertvangeest]

Looking for #Bioinformatics courses on #GitHub? 🧐 You're in luck! 🍀@choup @P_Palagi and I from @ISBSIB have created #Glittr (https://t.co/f3ZdCVw24V): a webapp that helps you find and compare awesome training materials. 🎉
How does it work? And how can you join us? Read on! 👇

[Workflows Community Initiative @WorkflowsCI]

✨The report for the Workflows Community Summit 2022 has been published: https://t.co/pkWbywm9yV

#SciWorkflows #workflow #HPC #AI #FAIR #QuantumComputing #Science

[SciPipe @scipipe]

We're glad to see SciPipe being used to explore properties of #dataflow in this nice paper by Andrei Paleyes & Neil Lawrence @lawrennd

It makes a strong case for how the #dataflow paradigm adds key causal info already at the design stage #sciworkflows
https://t.co/0N1w23wDds

[SciLifeLab @scilifelab]

“We've generated a humongous amount of data and it's available for everybody in the world” says @KltLab, after analyzing genomes of 240 mammals, in international research project led by @UU_University and @broadinstitute in collaboration with SciLifeLab.
https://t.co/0ms1z1HnWi

[Andrew S. Rosen @Andrew_S_Rosen]

I have found my people. 🥹 What an exciting initiative by @WorkflowsCI!

https://t.co/6ZOuEZikJo

[SciPipe @scipipe]

We're glad to see SciPipe being used to explore properties of #dataflow in this nice paper by Andrei Paleyes & Neil Lawrence @lawrennd

It makes a strong case for how the #dataflow paradigm adds key causal info already at the design stage #sciworkflows
https://t.co/0N1w23wDds

[SciPipe @scipipe]

Retweeting these news about our older cousin SciLuigi 😉 #sciworkflows

[Samuel Lampa - Also: smllmp.bsky.social @smllmp]

🎉 Hooray, after learning it is still used at some major companies, I just pushed a new release of SciLuigi [1] tonight, for the first time in ~3 years 🎉
https://t.co/dzmx41ayL3

[1] Wrapper around @bernhardsson's Luigi, allowing dep defs outside of tasks & more #sciworkflows