SciPipe
@scipipe
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Robust, flexible and resource-efficient pipelines using Go and the commandline. See: https://t.co/jzesyXIdFG #sciworkflows #bioinformatics #golang #gopherdata
Sweden
Joined August 2014
Paper out on the work done at NASA Glenn Research Center, using @scipipe for orchestration and #provenance tracking:
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The link to the post is unfortunately broken now, but it is now available at
Paper out on the work done at NASA Glenn Research Center, using @scipipe for orchestration and #provenance tracking:
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An Empirical Investigation on the Challenges in Scientific Workflow Systems Development.
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@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)
academic.oup.com
AbstractBackground. The complex nature of biological data has driven the development of specialized software tools. Scientific workflow management systems
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🧬 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
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"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
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Happy to see SciPipe having been used in this study: "Causal fault localisation in dataflow systems" https://t.co/7LF4hlzDNH
#dataflow #sciworkflows
dl.acm.org
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Happy to see SciPipe having been used in this study: "Causal fault localisation in dataflow systems" https://t.co/7LF4hlzDNH
#dataflow #sciworkflows
dl.acm.org
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Gonomics: Uniting high performance and readability for genomics with Go | Bioinformatics | Oxford Academic
academic.oup.com
AbstractSummary. Many existing software libraries for genomics require researchers to pick between competing considerations: the performance of compiled la
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Exciting to see more work on using #golang in #bioinformatics: "Gonomics: Uniting high performance and readability for genomics with Go"
academic.oup.com
AbstractSummary. Many existing software libraries for genomics require researchers to pick between competing considerations: the performance of compiled la
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scipipe: Robust, flexible and resource-efficient pipelines using Go and the commandline ⭐️ 998 #golang
https://t.co/Bpo3gkzlsp
github.com
Robust, flexible and resource-efficient pipelines using Go and the commandline - scipipe/scipipe
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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
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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! 👇
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✨The report for the Workflows Community Summit 2022 has been published: https://t.co/pkWbywm9yV
#SciWorkflows #workflow #HPC #AI #FAIR #QuantumComputing #Science
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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
arxiv.org
Dataflow computing was shown to bring significant benefits to multiple niches of systems engineering and has the potential to become a general-purpose paradigm of choice for data-driven...
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“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
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I have found my people. 🥹 What an exciting initiative by @WorkflowsCI! https://t.co/6ZOuEZikJo
workflows.community
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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
arxiv.org
Dataflow computing was shown to bring significant benefits to multiple niches of systems engineering and has the potential to become a general-purpose paradigm of choice for data-driven...
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Retweeting these news about our older cousin SciLuigi 😉 #sciworkflows
🎉 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
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