Bioinformatics Self Learning Resources

○ Introduction to R
○ High-throughput Biology: From Sequence to Networks
○ Exploratory Analysis of Biological Data using R
○ Informatics and Statistics for Metabolomics
○ Bioinformatics for Cancer Genomics
○ Epigenomic Data Analysis
○ Pathway and Network Analysis of -Omics Data

○ An excellent learning resource for bioinformatics tasks big and small

○ An ongoing course (Spring 2020)

○ The Biostar Handbook introduces readers to bioinformatics, the scientific discipline at the intersection of biology, computer science, and statistical data analytics dedicated to the digital processing of genomic information.

○ Applied Bioinformatics course offered in the Fall of 2019 at the Pennsylvania State University