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1/ We are excited to report in @Nature the discovery that human inborn errors of the alternative NF-κB pathway-dependent immunity underlie the development of auto-Abs neutralizing type I IFNs (https://t.co/TFUOnBPIFi).
@abdnahid_ Any particular reason your group uses Collab over managing your own JupyterHub server? Is it the convenience of having google manage hosting, or are there additional features in collab that you leverage?
Calling all single-cell data explorers! 🧫👩🔬👨🔬Do you swear by the pioneering R-based Seurat package, or do you find your rhythm with the newer Scanpy and it’s more diverse Python ecosystem? 👾
Comment on the reasons for your preference! ✏️
@LUMC_Leiden pytest-wdl is being used by OpenWDL @WDL_dev to automate testing of specification compliance. Take a look and volunteer to write some tests if you want to help improve WDL workflow engines like Cromwell, @cziscience miniwdl, and @dnanexus dxWDL https://t.co/JAlkBo0Gzy
#Bioinformatics on AWS has never been easier!
So long CloudFormation; say hello to the #AWS Genomics CLI. I've used it with snakemake, nextflow, cromwell, and miniwdl. It takes the pain of going from a working workflow locally to one on the cloud: 🧑🍳💋.
https://t.co/Ei0fvPfm0q
Across the biotechnology industry, research teams lean on bioinformatics expertise and cloud infrastructure to carry out some of the following activities:
(4) Analytical Framework
Stakeholders decide to ship a knowledge product using insights from their data. To ensure QA of results, engineers develop a system for job tracking, versioning and transforming NGS data to their visualization endpoints.