Seoyeon Kim's Projects
BSMS222 Biostatics
Making Protein folding accessible to all!
This repository contains implementations and illustrative code to accompany DeepMind publications
Functional analysis of single-cell transcriptomics
Navigating Enformer ✨ from Google Deepmind - Clarify the input sequence usage.
:books: Freely available programming books
A unified interface to immune deconvolution methods (CIBERSORT, EPIC, quanTIseq, TIMER, xCell, MCPcounter)
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".
Single-cell Lung Cancer Atlas with 1.2M cells
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:An integrated analysis pipeline for MeRIP-seq data based on Nextflow.
MeRIP-seq analysis pipeline arranged multiple alignment tools, peakCalling tools, Merge Peaks' methods and methylation analysis methods.
🙃 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.
A Zsh theme
🐾 A small place that leaves the traces of Python study.
Rmd source files for the HarvardX series PH525x (this repo is forked from genomicsclass/labs)
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
Single-cell RNA-seq data-based inference of multilayer inter- and intra-cellular signaling networks
Single-nuclei RNA-seq and ATAC-seq in Alzheimer's disease
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
✍🏻 Today I Learned - Bioinformatics | DeepLearning | Statistics and ... Anything Else !
This is a tutorial to guide the analysis of RNAseq dataset using footprint based tools such as DOROTHEA, PROGENY and CARNIVAL
RNA velocity estimation in R