Leveraging Object-Oriented Programming (OOP) in Python for Bioinformatics

SciDataFlow: A Tool for Improving the Flow of Data through Science

Using SLiM for forward genetic simulation

Leveraging Object-Oriented Programming (OOP) in Python for Bioinformatics

Estimating and visualizing population genetic structure for landscape genomics

An overview of skills and pipelines for A-Z reproducible manuscripts

An introduction to snakemake: a tool for automating and streamlining your analyses

Building an imputation pipeline for low coverage ancient genomes

Unix tools, scripting, and parallel computing

Leveraging R's ggplot for biological data analysis and visualization

Introduction to modelling single-cell dynamics

Introduction to LaTeX using Overleaf

UC Berkley CCB Skills Seminar 05/11/22: "Introduction to scikit-image for 3D image analysis"

Using Github Actions for collaborative development projects

Introduction to computational population genetics

CCB Skills Seminar 2/9/22: "Intro to R's Tidyverse for Data Science"

Introduction to Pyro, a probabilistic programming language in Python

Single-cell and spatial transcriptomics data analysis with Seurat in R

Making and hosting your personal website using Jekyll and Github pages

Fast and efficient preprocessing of single-cell RNA-seq with kallisto | bustools

Getting Started with Tensorflow

Leveraging Julia for data science

Getting started with Github

Single-cell data analysis with Scanpy and scvi-tools

Building your first Variational Autoencoder with PyTorch