Yue Yang's starred repositories
python-100-day
学习 Python 100 天系列文章代码
cs-self-learning
计算机自学指南
HistoBistro
Weakly-supervised learning pipeline for histopathology images. Publications: Biomarker prediction in colorectal cancer (CRC)
biostat_final_exam
biostat final exam data and code
ICGC-TCGA-DREAM-Mutation-Calling-challenge-tools
Tools for participants in the ICGC-TCGA DREAM Mutation Calling challenge
snakemake-workflow-template
A template for standard compliant snakemake-workflows
giab-asm-benchmarking
GIAB pipeline for benchmarking genome assemblies
OMCL--KIRC--oxidative
Using genomic and transcriptome analyses to identify the role of the oxidative stress pathway in renal clear cell carcinoma and its potential therapeutic significance
scRNAseq-analysis-notes
scRNAseq analysis notes from Ming Tang
igv-reports
Python application to generate self-contained pages embedding IGV visualizations, with no dependency on original input files.
Bioinformatics-with-Python-Cookbook-Second-Edition
Bioinformatics with Python Cookbook Second Edition, published by Packt
awesome-single-cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
benchmarking-tools
Repository for the GA4GH Benchmarking Team work developing standardized benchmarking methods for germline small variant calls
vgraph
vgraph is a command line application and Python library to compare genetic variants using variant graphs. ``vgraph`` utilizes a graph representation of genomic variants in to precisely compare complex variants that are refractory to comparison by conventional comparison methods.
training-material
A collection of Galaxy-related training material
giab_data_indexes
This repository contains data indexes from NIST's Genome in a Bottle project.
readthedocs
Documentation for the Google Genomics cookbook.
scikit-learn
scikit-learn: machine learning in Python
dna-seq-gatk-variant-calling
This Snakemake pipeline implements the GATK best-practices workflow
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"