liulab-dfci

Pinned Repositories

bioinfo-combio
The rendered book can be found at https://liulab-dfci.github.io/bioinfo-combio/
Language:CSS89 5 137
CHIPS
A Snakemake pipeline for quality control and reproducible processing of chromatin profiling data
Language:Python19 2 84
lisa
epigenome analysis to rank transcription factors
Language:JavaScript13 0 01
lisa2
Language:Python29 0 08
MAESTRO
Single-cell Transcriptome and Regulome Analysis Pipeline
Language:C280 12 10678
MAGeCK
Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout (MAGeCK) is a computational tool to identify important genes from the recent genome-scale CRISPR-Cas9 knockout screens technology.
27 1 52
RIMA_pipeline
Language:R75 1 1121
TIDEpy
TIDE (Tumor Immune Dysfunction and Exclusion), a gene expression biomarker to predict the clinical response to immune checkpoint blockade in Python.
Language:Python29 0 05
TRUST4
TCR and BCR assembly from RNA-seq data
Language:C293 6 29750
TRUST4_manuscript_evaluation
TRUST4 manuscript evaluation
Language:Python14 2 13

liulab-dfci's Repositories

liulab-dfci/TRUST4
TCR and BCR assembly from RNA-seq data
Language:C293 6 29750
liulab-dfci/MAESTRO
Single-cell Transcriptome and Regulome Analysis Pipeline
Language:C280 12 10678
liulab-dfci/bioinfo-combio
The rendered book can be found at https://liulab-dfci.github.io/bioinfo-combio/
Language:CSS89 5 137
liulab-dfci/RIMA_pipeline
Language:R75 1 1121
liulab-dfci/lisa2
Language:Python29 0 08
liulab-dfci/TIDEpy
TIDE (Tumor Immune Dysfunction and Exclusion), a gene expression biomarker to predict the clinical response to immune checkpoint blockade in Python.
Language:Python29 0 05
liulab-dfci/MAGeCK
Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout (MAGeCK) is a computational tool to identify important genes from the recent genome-scale CRISPR-Cas9 knockout screens technology.
27 1 52
liulab-dfci/CHIPS
A Snakemake pipeline for quality control and reproducible processing of chromatin profiling data
Language:Python19 2 84
liulab-dfci/TRUST4_manuscript_evaluation
TRUST4 manuscript evaluation
Language:Python14 2 13
liulab-dfci/lisa
epigenome analysis to rank transcription factors
Language:JavaScript13 0 01
liulab-dfci/liulab-dfci.github.io
Know more about Shirley Liu lab at
Language:HTML11 0 015
liulab-dfci/MAPD
Model-based Analysis of Protein Degradability
Language:R10 0 04
liulab-dfci/DrugCellNet
Predicting Anticancer Drug Responses Using a Dual-Layer Integrated Cell Line-Drug Network Model
Language:R7 1 01
liulab-dfci/Cop1_Cell_2021
Code for "In vivo CRISPR Screens Identify E3 Ligase Cop1 as a Modulator of Macrophage Infiltration and Cancer Immunotherapy Target"
Language:Jupyter Notebook6 0 01
liulab-dfci/RIMA
Language:HTML6 1 55
liulab-dfci/Degradability2021
Protein-intrinsic features predict tractability of targeted protein degradation
Language:Jupyter Notebook3 0 01
liulab-dfci/MAGeCKFlute
Integrative analysis pipeline for pooled CRISPR functional genetic screens
Language:R3 0 0
liulab-dfci/deepDegron
Deep learning model to predict degron sequences
Language:Python2 0 0
liulab-dfci/MACS
MACS -- Model-based Analysis of ChIP-Seq
Language:Python2 0 01
liulab-dfci/TRUST4_analysis
Language:R2 2 01
liulab-dfci/visualizirr
Language:JavaScript1 0 01
liulab-dfci/chromap
Fast alignment and preprocessing of chromatin profiles
Language:C++0 0
liulab-dfci/DeepBCR
Deep learning framework for cancer-type classification and binding affinity estimation using B cell receptor repertoires
1 0
liulab-dfci/MAT
Model-based Analysis of Tiling-array (MAT): A model-based algorithm for finding enriched regions in ChIP-Chip experiments.
Language:C++1 0