Seoyeon Kim's repositories
velocyto.R
RNA velocity estimation in R
bsms222_101_kim
BSMS222 Biostatics
ColabFold
Making Protein folding accessible to all!
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
eccb2022_sc_funcomics
Functional analysis of single-cell transcriptomics
Enformer_deepmind
Navigating Enformer ✨ from Google Deepmind - Clarify the input sequence usage.
free-programming-books
:books: Freely available programming books
Python_Notes
🐾 A small place that leaves the traces of Python study.
TIL
✍🏻 Today I Learned - Bioinformatics | DeepLearning | Statistics and ... Anything Else !
immunedeconv
A unified interface to immune deconvolution methods (CIBERSORT, EPIC, quanTIseq, TIMER, xCell, MCPcounter)
ImmuneResistance
This resource provides the code developed in the study of Jerby-Arnon _et al. "Single-cell RNA-seq of melanoma ecosystems reveals sources of T cell exclusion linked to immunotherapy clinical outcomes".
luca
Single-cell Lung Cancer Atlas with 1.2M cells
m6a_Mazter_Study
An R program to calculate cleavage efficiency in MAZTER-seq derived data - This repo was originally created by Schwartzlab. Using and updating the codes for my own mazter_seq analysis.
MeRIPseqPipe
MeRIPseqPipe：An integrated analysis pipeline for MeRIP-seq data based on Nextflow.
meripseqpipe_2022
MeRIP-seq analysis pipeline arranged multiple alignment tools, peakCalling tools, Merge Peaks' methods and methylation analysis methods.
ohmyzsh
🙃 A delightful community-driven (with 1800+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, OSX, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
powerlevel10k
A Zsh theme
Rafalabs
Rmd source files for the HarvardX series PH525x (this repo is forked from genomicsclass/labs)
reanalysis_Mathys_2019
A re-analysis of the [Single-cell transcriptomic analysis of Alzheimer’s disease](https://www.nature.com/articles/s41586-019-1195-2) using a standardised data processing and pseudobulk differential expression approach
scMLnet
Single-cell RNA-seq data-based inference of multilayer inter- and intra-cellular signaling networks
Single-nuclei-epigenomic-and-transcriptomic-landscape-in-Alzheimer-disease
Single-nuclei RNA-seq and ATAC-seq in Alzheimer's disease
ssun1116.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
transcriptutorial
This is a tutorial to guide the analysis of RNAseq dataset using footprint based tools such as DOROTHEA, PROGENY and CARNIVAL