swangam Goto Github PK

awesome-bioinformatics-benchmarks

A curated list of bioinformatics bench-marking papers and resources.

awesome-multi-omics

List of software packages for multi-omics analysis

awesome-shiny-extensions

🐝 Awesome R packages that offer extended UI or server components for the R web framework Shiny

awesome-single-cell

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

chipseq

ChIP-seq peak-calling, QC and differential analysis pipeline.

data-primers

data-science-at-the-command-line

Data Science at the Command Line

dna-methylation-analysis

DNA methylation analysis notes from Ming Tang

ga-dashboard-demo

A demo on how to build your own Google Analytics dashboard with R, Shiny and MySQL

htmlpreview.github.com

HTML Preview for GitHub Repositories

human_epi

Data analysis for the paper "Single cell transcriptomics of human epidermis identifies basal stem cell transition states" in Nature Communications.

intercellar

macs

MACS -- Model-based Analysis of ChIP-Seq

moderndive_book

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

rna-seq-analysis

RNAseq analysis notes from Ming Tang

scgate

marker-based purification of cell types from single-cell RNA-seq datasets

scrnaseq-1

A single-cell RNAseq pipeline for 10X genomics data

scrnaseq-analysis-notes

scRNAseq analysis notes from Ming Tang

shinycell

Shiny Interactive Web Apps for Single-Cell Data

shinydashboardplus

extensions for shinydashboard

single-cell-curation

Code and documentation for the curation of cellxgene datasets

soptsc

SoptSC for single cell data analysis: unsupervised inference of clustering, cell lineage, pseudotime and cell-cell communication network from scRNA-seq data.

tcga_rnaseq_clinical

terminal-mac-cheatsheet

List of my most used commands and shortcuts in the terminal for Mac

the-art-of-command-line

Master the command line, in one page

ucell

An R package for single-cell gene signature scoring

workflowr

Organize your project into a research website