Python Programming

An introduction to the R programming language and the components of programming including syntax, data types, dataframes and basic data analysis.

Learn intermediate python programming techinques inclufing logging, testing, documentation, command line arguments, decorators, and the standard library.

Python programming training covering the most popular data visualizations package including seaborn, altair, and matplotlib.

Intro to Unix and Locus (NIAID HPC)

Data analysis with python utilizing the pandas package covering data import, data cleaning and analysis and plotting

An introduction to the concepts of programming including why we need to program, basic components of programming languages as well as what can be done with programming.

An introduction to Jupyter notebooks and JupyterLab and how they facilitate data analysis. The IPython interpreter is covered along with many magic commands that empower your research.

Introductory Training on Unix for Bench Scientists. It includes a comprehensive explanation of the must-know commands for starting to use Unix. Students will be able to follow along to practice file manipulation.

An introduction to the R programming language and the components of programming including syntax, data types, dataframes and basic data analysis.

Introduction to Statistical Analysis in R

Introduction to Awk and Sed programming

Introduction to R markdown

Introductory Training on Bash scripting. It covers basic concepts on programming. Students will be able to follow along to create various loops and other simple operations. Materials include the code used.

Manipulating files and data on Linux

Tutorial for learning to use the editor VIM for Unix. Demo to show file manipulation and basic command line operations using an editor.

Introduction to UNIX editors: Vi

Introduction to UNIX and Text Editing

Python programming training covering the excellent DnaFeaturesViewer genome and protein visualization package.

Fundamentals of Unix for Biologists

Bioinformatics python programming covering the biopython package as well as bioinformatics data visualization.

Python programming training on building workflows from simple scripts of bash commands to snakemake workflow options that pick up where they leave off if they fail.

Introduction to Git and GitHub

Introduction to Perl and Bioperl