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2020_wilk_covid

Reproducibility repository accompanying Wilk, Rustagi, Zhao, et al. "A single-cell atlas of the peripheral immune response to severe COVID-19"

a-hands-on-workshop-series-in-machine-learning

awesome-ai-cancer

Awesome artificial intelligence in cancer diagnostics and oncology

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

bayesmadesimple

Code for a tutorial on Bayesian Statistics by Allen Downey.

bbmap

(Not Offical) BBMap short read aligner, and other bioinformatic tools.

bioinformatics-with-python-cookbook-second-edition

Bioinformatics with Python Cookbook Second Edition, published by Packt

chip-seq_pbs

ChIP-Seq analysis of PBS data

compositions

Detailed nutrient composition of 528 key foods in India.

data-science--cheat-sheet

Cheat Sheets

data-science-from-scratch

code for Data Science From Scratch book

dataviz

Data Visualization With Matplotlib and Seaborn

deep-learning-genomics-primer

Contains files for the deep learning in genomics primer.

deepvariant

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

dltfpt

Deep Learning with TensorFlow, Keras, and PyTorch

epidemiology101

Epidemic Modeling for Everyone

fastqc

csf fork of fastqc for usage on selected reads of unaligned bam file

fetalfraction

Computational Estimation of Fetal DNA Fraction in Low Coverage Whole Genome Sequencing Data

fuma-webapp

Source code of FUMA GWAS web application

gutv3v4_mothur

Project Workflow and Log for 16s rRNA Metagenomic analysis of Human gut for V3V4 region

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

helloworld

Just another Repository

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

linearmodelingr

Linear Modeling in R workshop materials

ml-foundations

Machine Learning Foundations: Algebra, Calc, Stats & CS

ml-webinar

Machine Learning with sklearn tutorials (for Pearson)

mothur

Welcome to the mothur project, initiated by Dr. Patrick Schloss and his software development team in the Department of Microbiology & Immunology at The University of Michigan. This project seeks to develop a single piece of open-source, expandable software to fill the bioinformatics needs of the microbial ecology community.

mothur-1

R package to work with output files from mothur

mpl_tutorial

Scipy 2019 Tutorial

numpy-tutorial-scipyconf-2019

Numpy-Tutorial-SciPyConf-2019