MichaelZH24's repositories
10x-scATAC-2019
Publication Page for Satpathy*, Granja* et al 2019
AmpUMI
Toolkit for the design and analysis of amplicon sequencing experiments utilizing unique molecular identifiers (UMIs)
Bioinformatics
Bioinformatics Workflows
bpipes
bioinformatic pipelines
c9-python-getting-started
Sample code for Channel 9 Python for Beginners course
ChIP-seq-analysis
ChIP-seq analysis notes from Ming Tang
coursera-ml-py
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
CRISPResso2
Analysis of deep sequencing data for rapid and intuitive interpretation of genome editing experiments
dropseqRunner
Pipeline for processing single-cell RNA-seq data (drop-seq)
lab-website-template
An easy-to-use, flexible website template for labs!
MIPGEN
One stop MIP design and analysis
mlcourse.ai
Open Machine Learning Course
pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
pySCENIC-test
pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.
PythonSIFT
A clean and concise Python implementation of SIFT (Scale-Invariant Feature Transform)
scCATCH
Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
SCENICprotocol
A scalable SCENIC workflow for single-cell gene regulatory network analysis
SelfTarget
Scripts for processing and predicting CRISPR/Cas9-generated mutations
single-cell-tutorial
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
SingleCellLineage
Updated scripts and pipelines for processing GESTALT data at single-cell resolution
tinyatlas
A tiny cell atlas for commonly sequenced organisms.
udlbook
Understanding Deep Learning - Simon J.D. Prince