MichaelZH24's repositories
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.
lab-website-template
An easy-to-use, flexible website template for labs!
udlbook
Understanding Deep Learning - Simon J.D. Prince
SingleCellLineage
Updated scripts and pipelines for processing GESTALT data at single-cell resolution
SelfTarget
Scripts for processing and predicting CRISPR/Cas9-generated mutations
CRISPResso2
Analysis of deep sequencing data for rapid and intuitive interpretation of genome editing experiments
MIPGEN
One stop MIP design and analysis
tinyatlas
A tiny cell atlas for commonly sequenced organisms.
coursera-ml-py
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
ChIP-seq-analysis
ChIP-seq analysis notes from Ming Tang
eoulsan
A pipeline and a framework for NGS analysis (RNA-Seq and soon Chip-Seq)
SCENICprotocol
A scalable SCENIC workflow for single-cell gene regulatory network analysis
scCATCH
Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
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)
PythonSIFT
A clean and concise Python implementation of SIFT (Scale-Invariant Feature Transform)
dropseqRunner
Pipeline for processing single-cell RNA-seq data (drop-seq)
bpipes
bioinformatic pipelines
Bioinformatics
Bioinformatics Workflows
pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
mlcourse.ai
Open Machine Learning Course
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"
c9-python-getting-started
Sample code for Channel 9 Python for Beginners course