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  1. proslijedio/la je Tweet
    3. velj

    Asked to write a chapter about RNA-seq counts modeling, I used bookdown to put all the material online. Includes some new workflow pieces like tximeta for import and swish for transcript level:

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  2. proslijedio/la je Tweet
    31. sij

    Congratulations to on her first preprint with me, Zhicheng Ji and Hongkai Ji ! We benchmarked 18 imputation methods and found varying performance across analyses

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  3. proslijedio/la je Tweet

    Bioconductor community members Aaron Lun get a shoutout due to their award winning app at 🙌🏽🙌🏽🙌🏽🙌🏽 It builds upon and also , both packages I ❤️ ^^

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  4. proslijedio/la je Tweet
    28. sij

    While you're all finalizing your proposals for tomorrow we are delighted to announce as keynote for the in track at ! Stephanie is asst. prof. at Data Science Lab and co-host of

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  5. proslijedio/la je Tweet
    27. sij

    Very happy to share this review where , and I discuss classic and new approaches to study 3D chromosome structure, and how they can help discovering biological function

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  6. proslijedio/la je Tweet
    27. sij

    Registration to is now open! We have strived to keep registration fees as low as possible. We would like to thank all the volunteers and the sponsors who helped us making this possible! Hurry up and register at

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  7. proslijedio/la je Tweet
    27. sij

    Bioc2020 Registration Now Open! The committee is also accepting calls for abstracts for posters/workshops/talks. More information can be found

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  8. proslijedio/la je Tweet
    22. sij
    Odgovor korisniku/ci

    My personal bias is for 's muscat::simData, if you're interested in multi-sample multi-condition experiments

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  9. proslijedio/la je Tweet
    22. sij
    Odgovor korisnicima

    Also biased .. but I would say that 's countSimQC package is quite essential to make sure your synthetic data mimics the properties of real data.

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  10. proslijedio/la je Tweet
    20. sij

    Congratulations to for his first paper! This is the result of a very fun and productive collaboration with and ! A thread.

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  11. proslijedio/la je Tweet
    16. sij

    Assessment of single cell RNA-seq statistical methods on microbiome data

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  12. proslijedio/la je Tweet
    13. sij

    The FMI has had its own in-house Computational Biology platform since 2004. In a new interview, leader talks about how this dynamic group has evolved through the data revolution of the last decade and what the future holds for the field 👉

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  13. proslijedio/la je Tweet
    10. sij

    Curious to get some feedback 😀 As of now, it is a minimal Shiny app that parses `sessionInfo()` as well as `devtools::session_info()` outputs, and that was enough to save me time and headbanging sessions 😅

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  14. proslijedio/la je Tweet
    10. sij

    Ever wanted to compare quickly the output of 2 sessionInfo? Updated a package on a Shiny server, and things break while locally all is fine? ✅ Reporting a bug and wanna spot the differences? ✅ The try out (small side idea w )

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  15. proslijedio/la je Tweet
    19. pro 2019.

    Job alert🔬: We’re looking for an experienced lab manager to join our team. We’re studying how cells collaborate in tissues using single cell genomics and RNA microscopy, contact me for details. Please RT, thanks!

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  16. proslijedio/la je Tweet
    19. pro 2019.

    Today in the is the software brought to you by and the FMI team to analyse data from high throughput sequencing experiments. Read more here! 👉

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  17. proslijedio/la je Tweet
    17. pro 2019.

    Yesterday, (center), successfully defended his thesis (my first PhD student to do so)! It's been an honor to watch him grow as a scientist, researcher, and leader. He'll be sorely missed in our lab, but I'm excited to see the awesome things he will do. Congrats, Avi!

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  18. proslijedio/la je Tweet
    15. pro 2019.

    So here’s my plug: if you are a tool developer, we’ve put forward a proposal for how we can help: reference sequence hashing allows for the possibilty of identifying the provenance at a later stage. Eg CRAM includes this as well

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  19. proslijedio/la je Tweet
    15. pro 2019.

    This is a topic near and dear to my research: the need for reporting package version and annotation provenance for computational reproducibility in . A short recap and a plug

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

    ... but a special thanks to and the organizers team, flawless job 🙏 And to the co-hackers that joined and me in expanding the iSEE universe, so many valuable ideas thrown in and made real - I put some notes here

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