The last three posted announcements are show at right.
Most of this web site is dedicated to tutorial materials, that can be found under the TUTORIALS menu above.
SUMMARY: Check calendar for Free "R" and "Python" workshops (Steenbock Library.) "Introduction to R with RStudio," "Data Wrangling in R" (SSCC - Social Science Computing Cooperative.) "Automating Tasks with the Unix Shell," "Data Management with SQL," "Introduction to Docker" (Software Carpentry through UW-Madison Data Science (fees apply).)
Does data analysis feel like the impossible job of "catching the moon?" Fortunately R and RStudio are great tools to analyze data and illustrate conclusions, while at the same time keeping records and create "live" documents that can be updated with "just one click." The material is written in a way that is conducive to "learn by doing" following demonstrations and examples. All code and all necessary materials and files are available and therefore it is possible to learn and acquire proficiency on one's own with this course content.
June 26, 2020. I have added a new entry under the “Tutorials” menu for “bioinformatics” to provide a place for tutorials that are more than just about one subject. “bioinformatics is the science of …
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The Biochemistry Computational Cluster (BCC) is a High Throughput Computing (HTC) environment available to the Department of Biochemistry and runs non-interactive jobs using HTCondor. …
These are a few of the main focus of the workshops in terms of software and areas of study: Molecular Graphics -PyMOL, Chimera, SybylX-, Molecular -Modelling MODELLER-, Data Analysis - R, Python, Markdown, Reproducible Research,…. Guest speakers are invited for additional topics or software demonstration (e.g. EndNote, MatLab…) …
Workshops are primarily focused on the needs of Biochemistry personnel from students to faculty, but often extended to Biomolecular Chemistry, Chemistry and other curious minds.
BCRF tutorials are typically two hours long and involve a lot of hands-on practice. All tutorial materials are available for individuals to use after courses or on their own.
Class size is kept small for better interaction and hands-on opportunities but occasionally can be augmented with two or three attendees bringing their laptops.