Our lab member Eric Czech will present this work at #biodata18 on Saturday. The source code is available at https://t.co/9cEHh1GSLy. If you're interested in GPU-accelerated open source software for the analysis of multiplex tissue imaging data, we'd appreciate your feedback!
This is what we have been working on at @hammer_lab for the last few months:
Human Primary T Cells: A Practical Guide
- Live document: https://t.co/CUaGiSVE3g
- Code/data: https://t.co/xYqMYyKuZ6
- Protocols: https://t.co/6rm6W4q4mw
cc: @PINPINPINN@Chrystal_Paulos
A few of our former lab members have formed a new lab to continue their work on open source software for neoantigen vaccines. Go follow them at @OpenVax! https://t.co/obbr1y5X1f
It's still a work in progress, but I just made a website for the new @openvax lab at Mount Sinai: https://t.co/S462kKP6xq.
Focus: machine learning applied to immunology, neoantigens, personalized cancer vaccines.
We just released MHCflurry 1.0, our MHC I ligand prediction package. 20% more alleles, over 10X faster, docs, and an accuracy boost. Happy predicting! https://t.co/TqsdL4Lcri @hammer_lab
Introducing spark-bam, a foundational library that enables the distributed processing of aligned reads with @ApacheSpark, by @RunsAsCoded: https://t.co/umWa8pI4yk
New preprint from @smondet on how our lab uses @OCamlLang to manage complex bioinformatics workflows on cloud, Hadoop, and HPC environments https://t.co/k1vI1xShdn
We've posted a preprint that describes the open source software powering the neoantigen vaccine trial described at https://t.co/myjNDkitSH https://t.co/qtk8oZl6L1
We’re quite proud of this paper! One reviewer: “It sets the bar for ... biomarker analyses in patients treated with checkpoint inhibitors” https://t.co/tdvi0k3C6C