Resources

Computational resources: 

• Link to the GitHub page for the long-read proteogenomics pipeline.

Data science foundations: 

• Data carpentry 
• Version control with GitHub
• GitHub basics 
• Glittr (Git repositories for the life sciences) 
• Using Python
  • More resources!
• Using R
  • The UVA Health Sciences Library also offers excellent tutorials!

Tools for connecting the transcriptome to the proteome: 

• Biosurfer

Proteomics resources: 

• Dr. Alan Doucette – “Short Chemistry” youtube page 

Analyzing RNA-sequencing data: 

• Genomic data analyses:
  • Overview
  • Essential bioinformatics tools 
• Long-read RNA sequencing data analyses:
  • EMBL training 

Learning about statistics:

• Statquest

Protocols:

• Keeping a good lab notebook
• Gibson assembly
• Golden Gate Assembly 
• Gel purification
• Filter-aided sample preparation 
• Miniprep
• PCR amplification 
• RNA library creation
  • short-read 
  • long-read