Denis Bauer

@allPowerde

Bioinformatics, Serverless/FaaS, Big Data, Genome analysis, Genome Engineering, Machine Learning, DevRel, Tweets==own.

Sydney, New South Wales
Vrijeme pridruživanja: veljača 2009.

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  1. Prikvačeni tweet
    6. pro 2017.

    Honoured that our Serverless architecture for - a web service that identifies the optimal genome engineering sites - was featured in a video series highlighting AWS’ most outstanding customer use cases around the world.

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  2. proslijedio/la je Tweet
    prije 11 sati

    Building a bridge between gene editing and machine learning - Is this review paper the babel fish to translate between genome editing and machine learning jargon?

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  3. proslijedio/la je Tweet
    2. velj

    Delighted to share our first 2020 publication lead by & with my long standing collaborator & corresponding author on the use of to design gene editing experiments for Briefings in Bioinformatics

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  4. proslijedio/la je Tweet
    18. pro 2019.
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  5. proslijedio/la je Tweet
    9. pro 2019.

    Announcing . Automatic ML for images, text, tabular data, network architecture search, HPO. Apache open source license. Works on . And , too. With tutorials. Just in time for .

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  6. 9. pro 2019.

    Single-cell eQTL analysis by at . And beautiful scientific figures, what tool do you use to create them?

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  7. proslijedio/la je Tweet
    9. pro 2019.

    Hey - interested in a postdoc, comp bio, stat gen, or software engineer position doing cool stuff with large-scale human sequencing data in Sydney or Melbourne, starting after May 2020? Drop me a line. Job descriptions going live early 2020!

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  8. 9. pro 2019.

    Hi , want to join a cloud-native group to work on a new science discipline? Application deadline was yesterday but if you are interested DM or speak to me at *today*.

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  9. 9. pro 2019.

    First cloud-based solution at presented by : for single cell genomics and transcriptomics out of the lab!

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  10. 4. pro 2019.

    "In addition to following best practices of naming, tagging, versioning and pricing [..], the CSIRO team did a great job describing how their example works" read 's review of on

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  11. proslijedio/la je Tweet
    1. pro 2019.

    What is "serverless" and "cloud-native" and when to use it? - Can you decide when to strangle your traditional software architectures and move to cloud-native solutions? Let us help you.

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  12. proslijedio/la je Tweet
    29. stu 2019.

    BitEpi: A Fast and Accurate Exhaustive Higher-Order Epistasis Search

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  13. 1. pro 2019.

    How amazing: first review for on is by the famous !! "Running the example in the notebook takes less than 5 minutes. [..] finding significant variants in a fun, synthetic phenotype ([..] genetic traits linked to being a Hipster)"

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  14. proslijedio/la je Tweet
    1. pro 2019.

    Converting traditional architectures to cloud-native applications - Can you decide when to strangle your traditional software architectures and move to cloud-native solutions? Let us help you.

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  15. 29. stu 2019.

    “GtScan predicts quite well the frequency of off-target effects for a given guide RNA sequence” great article by in on the status of off-targets in medicine and production.

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  16. proslijedio/la je Tweet
    24. stu 2019.

    Should we do another Science AMA (Ask Me Anything) Series? - Do you want us to run another Reddit Q&A Ask Me Anything Post on Digital Marketplaces?

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  17. 19. stu 2019.

    My keynote from Sydney 2019 is available , talking about bringing from the to the clinic using . Thanks and team for binging this conference to AU.

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  18. 17. stu 2019.

    Our approach of applying the scientific method to software engineering has been published by "DevOps 2.0: A New Evolution of Serverless Cloud Architecture" -

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  19. proslijedio/la je Tweet
    4. ruj 2018.

    “Pompously call devops 2.0” by 😂

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  20. proslijedio/la je Tweet
    17. stu 2019.

    Detecting genetic alterations: can you spot the difference? - Read how we develop computational tools to differentiate native from altered DNA

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  21. 15. stu 2019.

    Information is power and it’s time to share: from exploring the human genome to managing Sydney’s congested roads, cloud-computing is helping democratise data and its analysis via

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