Name: Yura Song
Type: User
Company: Université libre de Bruxelles
Bio: A bioinformatician in Cédric Blanpain lab. Enjoying digging into the datasets derived from all biological samples.
Language: KR-EN-CN-FR-IT-NL
Twitter: yura__song
Location: Brussels, Belgium
Yura Song's Projects
Code Repository for Satpathy Granja et al 2019
ENCODE ATAC-seq pipeline
List of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
Materials presented at the BiocNYC meet-up
Burrow-Wheeler Aligner for short-read alignment (see minimap2 for long-read alignment)
CellPhoneDB can be used to search for a particular ligand/receptor, or interrogate your own HUMAN single-cell transcriptomics data.
R package with motifs for use with chromVAR
Tools to process and analyze deep sequencing data.
A pixelclassification based multiplexed image segmentation pipeline
Lollipop-style mutation diagrams for annotating genetic variations.
MACS -- Model-based Analysis of ChIP-Seq
MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.
mdlabbook is a markdown-format lab notebook
Midnight is a Jekyll theme for GitHub Pages
Course on analysis of NGS data (RNA-Seq. and ATAC-Seq.) using Galaxy
Quick mining and visualization of NGS data by integrating genomic databases
NicheNet: predict active ligand-target links between interacting cells
Use RMarkdown to generate PDF Conference Posters via HTML
Power analysis is essential to optimize the design of RNA-seq experiments and to assess and compare the power to detect differentially expressed genes. PowsimR is a flexible tool to simulate and evaluate differential expression from bulk and especially single-cell RNA-seq data making it suitable for a priori and posterior power analyses.
Template for project directory structure.
R notebook and example data for beginner :)
Toolkit for processing sequences in FASTA/Q formats
R toolkit for single cell genomics
a software package for analysis and exploration of single-cell RNA-seq datasets
Convert a VCF into a MAF, where each variant is annotated to only one of all possible gene isoforms