Carver Biotech

Author name: Chris Fields

HPCBio

Learning and Training with Bioconductor

HPCBio Assistant Director Dr. Jenny Drnevich and numerous members of the Bioconductor community have published a great collaborative paper in PLoS Computational Biology on best practices and key resources within Bioconductor for data-intensive research in the biological data sciences.  The paper, “Learning and teaching biological data science in the Bioconductor community,” gives background on the Bioconductor community (for the unfamiliar) and discusses how to learn analyses using Bioconductor materials, getting involved with Bioconductor, how to get involved with training, partnerships with Data Carpentries, using AI/ML models in training, and much more!  Drnevich J, Tan FJ, Almeida-Silva F, Castelo R, Culhane AC, Davis S, et al. (2025). Learning and teaching biological data science in the Bioconductor community. PLoS Comput Biol 21(4): e1012925. See the paper here!

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HPCBio

Microbial analysis profiling workshop

WHAT: This workshop will teach attendees how to analyze rRNA amplicon (e.g. 16S, 18S, ITS…) microbiome datasets for the purpose of investigating the presence and diversity of microorganisms. After a brief introduction to microbial profiling, attendees will be provided a practice data set, and begin processing and filtering the sequenced reads on a high performance computational cluster (Biocluster), and then will cluster these reads into amplicon sequence variants (ASVs). In R, attendees will learn how to perform common statistical analyses and create informative visualizations to investigate abundance and diversity of microorganisms present in the data set. WHO: Intended for graduate students, post-docs, research staff, and faculty. If you are not affiliated with the University of Illinois, you’ll be able to email hpcbio-training@biotech.illinois.edu for alternative sign-up information when registration opens. PRE-REQUISITES: Beginner knowledge of bash (a.k.a command line linux), high-performance computing, and R programming. After registration, we will provide details and optional materials on how to fulfill these requirements. This is a fast-paced workshop; we will not have time to bring you up to speed. WHERE: 241 Wohlers Hall. This is not a computer lab. There will be tables and outlets for your laptops. WHEN: 10am – 3pm (12-1pm will be a lunch break); April 4th, April 11th, and April 18th.    Note: We will record the sessions if you have to miss part of a day and make it up later. COST: $350 for University of Illinois employees, students, and affiliates. Please email if you are outside of the U of I system. HOW: Seats limited to 25 attendees. Registration deadline extended to March 28!  Please register HERE.

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