Four courses that can be attended in-person at the University of South Carolina in Columbia, SC or virtual (synchronous).

NOTE: Courses are free for all affiliate members of SC INBRE.

Courses Offered in the Workshop Training are:

• Beginning Linux and Cloud Computing for Bioinformatics Week of June 12:

This course will provide an introduction on how to spin up a Cloud based server and use Linux to perform some pre and postprocessing of genomic data and other data used in Bioinformatics analyses. These topics will include file system navigation and maintenance, search for data and patterns, extraction of data and manipulation of FASTA files,  working with CSV files, and remote access to systems. 

• Bioinformatics Analysis in R, Week of June 19

This course will provide an introduction to a few typical Bioinformatics analyses in the R environment. More specifically, introductory R, quality control, sequence alignment, phylogeny trees, data visualization, DGE, SNP, and PCA analyses will be discussed in this course.

• Bioinformatics Analysis in Python, Week of June 26

This course will provide an introduction to a few typical Bioinformatics analyses in the Python environment. More specifically, introductory Python programming, introduction to BioPython, quality control, sequence alignment, phylogeny trees, PCA, and data visualization will be discussed in this course.

• Data Analytics and ML in Python, Week of July 10 More information

This course will provide an introduction to a few typical Bioinformatics analyses in the Python environment. More specifically, introductory Python programming, introduction to BioPython, quality control, sequence alignment, phylogeny trees, PCA, and data visualization will be discussed in this course.

PDF: Workshop Detailed Flyer

For more information and registration, please visit: https://bit.ly/bioinformatics2023

SC INBRE