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liulab-dfci's Projects

bioinfo-combio icon bioinfo-combio

The rendered book can be found at https://liulab-dfci.github.io/bioinfo-combio/

chips icon chips

A Snakemake pipeline for quality control and reproducible processing of chromatin profiling data

chromap icon chromap

Fast alignment and preprocessing of chromatin profiles

cop1_cell_2021 icon cop1_cell_2021

Code for "In vivo CRISPR Screens Identify E3 Ligase Cop1 as a Modulator of Macrophage Infiltration and Cancer Immunotherapy Target"

deepbcr icon deepbcr

Deep learning framework for cancer-type classification and binding affinity estimation using B cell receptor repertoires

deepdegron icon deepdegron

Deep learning model to predict degron sequences

degradability2021 icon degradability2021

Protein-intrinsic features predict tractability of targeted protein degradation

drugcellnet icon drugcellnet

Predicting Anticancer Drug Responses Using a Dual-Layer Integrated Cell Line-Drug Network Model

lisa icon lisa

epigenome analysis to rank transcription factors

macs icon macs

MACS -- Model-based Analysis of ChIP-Seq

maestro icon maestro

Single-cell Transcriptome and Regulome Analysis Pipeline

mageck icon 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.

mageckflute icon mageckflute

Integrative analysis pipeline for pooled CRISPR functional genetic screens

mapd icon mapd

Model-based Analysis of Protein Degradability

mat icon mat

Model-based Analysis of Tiling-array (MAT): A model-based algorithm for finding enriched regions in ChIP-Chip experiments.

tidepy icon tidepy

TIDE (Tumor Immune Dysfunction and Exclusion), a gene expression biomarker to predict the clinical response to immune checkpoint blockade in Python.

trust4 icon trust4

TCR and BCR assembly from RNA-seq data

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