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A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
Applied Computational Genomics Course at UU: Spring 2020
A Python library that generates static type annotations by collecting runtime types
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
A Python package for exploring and analysing genetic variation data
Dockerized setup for testing code on realistic hadoop clusters
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Pull github, bitbucket, and trac issues into taskwarrior
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
PyMC educational resources
PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
A comparison of different Oxford Nanopore basecallers
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
Website for Computational Exome and Genome Analysis
Course contents for High-Throughput Biology: From Sequence to Networks 2017 hosted at CSHL
From SNP and structural variant calling to GWAS.
Extended documentation and model examples for rethinking R package
a lightweight db framework for exploring genetic variation.
Course material in notebook format for learning about single cell bioinformatics methods
Sparse Genomic Analysis of Individual Nuclei by Sequencing
The Ensembl Variant Effect Predictor predicts the functional effects of genomic variants
Plugins for the Ensembl Variant Effect Predictor (VEP)