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hooooooly's Projects

ads1-notebooks icon ads1-notebooks

Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing

banovichlab icon banovichlab

Public code repository for the Banovich Lab at the Translational Genomics Research Institute (TGen).

gatk icon gatk

Official code repository for GATK versions 4 and up

gatk4-data-processing icon gatk4-data-processing

Workflows for processing high-throughput sequencing data for variant discovery with GATK4 and related tools

gatk4_wdl_script icon gatk4_wdl_script

GATK4 somatic variants discovery via wdl script based on broad institute

halfrost-field icon halfrost-field

โœ๐Ÿป ่ฟ™้‡Œๆ˜ฏๅ†™ๅšๅฎข็š„ๅœฐๆ–น โ€”โ€” Halfrost-Field ๅ†ฐ้œœไน‹ๅœฐ

intro-to-rnaseq-hpc-o2 icon intro-to-rnaseq-hpc-o2

This repository has teaching materials for a 2 and 3-day Introduction to RNA-sequencing data analysis workshop using the O2 Cluster

ligand-receptor-pairs icon ligand-receptor-pairs

Compendium of available lists of ligand-receptor pairs and surface-secreted protein interactions.

lihang icon lihang

Statistical learning methods, ็ปŸ่ฎกๅญฆไน ๆ–นๆณ•(็ฌฌ2็‰ˆ)[ๆŽ่ˆช] [็ฌ”่ฎฐ, ไปฃ็ , notebook, ๅ‚่€ƒๆ–‡็Œฎ, Errata, lihang]

pure-bash-bible icon pure-bash-bible

๐Ÿ“– A collection of pure bash alternatives to external processes.

pyscenic icon pyscenic

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.

python icon python

All Algorithms implemented in Python

scendo_scovar_2020 icon scendo_scovar_2020

This repository holds the scripts used to analyze the data presented in "A multi-omic single-cell landscape of human gynecologic malignancies", Regner et al., 2021

scg_lib_structs icon scg_lib_structs

Collections of library structure and sequence of popular single cell genomic methods

scw icon scw

HSCI/Catalyst Single-cell RNA-Seq Workshop

single-cell-tutorial icon 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"

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