yurasong
A bioinformatician in Cédric Blanpain lab. Mainly working on deciphering gene regulatory network on glandular epithelia. Language: KR-EN-CN-FR-IT-NL
Université libre de BruxellesBrussels, Belgium
yurasong's Stars
k-sys/covid-19
A collection of work related to COVID-19
cBioPortal/cbioportal
cBioPortal for Cancer Genomics
sqjin/CellChat
R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data
broadinstitute/infercnv
Inferring CNV from Single-Cell RNA-Seq
hbctraining/scRNA-seq
aertslab/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.
thelovelab/DESeq2
Differential expression of RNA-seq data using the Negative Binomial
Teichlab/cellphonedb
kstreet13/slingshot
Functions for identifying and characterizing continuous developmental trajectories in single-cell data.
knausb/vcfR
Tools to work with variant call format files
mhammell-laboratory/TEtranscripts
A package for including transposable elements in differential enrichment analysis of sequencing datasets.
aertslab/scenicplus
SCENIC+ is a python package to build gene regulatory networks (GRNs) using combined or separate single-cell gene expression (scRNA-seq) and single-cell chromatin accessibility (scATAC-seq) data.
wheaton5/souporcell
Clustering scRNAseq by genotypes
saeyslab/multinichenetr
MultiNicheNet: a flexible framework for differential cell-cell communication analysis from multi-sample multi-condition single-cell transcriptomics data
UMCUGenetics/MutationalPatterns
R package for extracting and visualizing mutational patterns in base substitution catalogues
CostaLab/reg-gen
Regulatory Genomics Toolbox: Python library and set of tools for the integrative analysis of high throughput regulatory genomics data.
Durenlab/LINGER
ding-lab/MuSiC2
identifying mutational significance in cancer genomes
seandavi/sars2pack
An R package with over 50 highly cited, read-to-use, up-to-date COVID-19 pandemic data resources
ChangLabSNU/PaperSorter
Sends alerts to a Slack channel for potentially interesting new articles selected from RSS feeds.
neocaleb/TENET
TENET is a tool for reconstructing gene regulatory networks from pseudo-time ordered single-cell transcriptomic data.
YuLab-SMU/ReactomePA
Reactome Pathway Analysis
kundajelab/coda
Coda: a convolutional denoising algorithm for genome-wide ChIP-seq data
lhe17/nebula
aertslab/CREsted
jinseob2kim/jskm
R package for Kaplan-Meier Plot: Modified ggkm
hmgene/mudcookies
We help each other to study single-cell data
Camp-Lab/human_endoderm_atlas
Bioconductor/BiocAsia2020
BiocAsia2020 repository
ExaScience/Severo.jl
a software package for analysis and exploration of single-cell RNA-seq datasets