rabadanlab Goto Github PK

arcashla

Fast and accurate in silico inference of HLA genotypes from RNA-seq

bootstrap-analysis-arriaga-nature-cancer-2020

Script of bootstrap analysis of evolution tree used in Juan M Arriaga, et al. A MYC and RAS co-activation signature in localized prostate cancer drives bone metastasis and castration resistance. Nature Cancer (2020)

chek2_scrnaseq

The script used in manuscript "Checkpoint kinase 1/2 inhibition potentiates anti-tumoral immune response and sensitizes gliomas to immune checkpoint blockade" for scRNAseq data analysis.

dockersavi

Dockerfolder for Docker-ized version of SAVI

es

evomod

Evolutionary Moduli space visualization and statistics

gbmsinglecell

indel-seq

Scripts used for INDEL-seq data processing

mage-pipeline

MAGE - Multilevel Analysis of Gene Expression

melamed_comorbidity

Code for "Genetic similarity between cancers and comorbid Mendelian diseases identifies candidate driver genes". View more information in the ipython notebook

mitkats

The Medical Imaging Interaction Toolkit with augmented tools for segmentation (MITKats), an extension of MITK with Threshold Components and Clipping Segmentation features.

mutcomfocal

nori

NORI (Non-coding RNA Identification), a computational tool to identify lncRNAs using next generation sequencing.

pamler

pandora

Microbial Signatures in Human RNAseq Data

pegasus

Annotation and Prediction of Oncogenic Gene Fusions in RNAseq

ph_datasets

Persistent Homology Datasets

ph_recombination_virus

Pipeline to infer recombination rates

pitp

proscope

rabadanlab.github.io

randomly

A Library for Denoising Single-Cell Data with Random Matrix Theory

randomlypage

Webpage for randomly package

randomlysite

randomlyview

sakmapper

Implementation of Mapper Algorithm

sctda

An object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data

smoother

A Unified and Modular Framework to Incorporate Structural Dependency in Spatial Omics Data

spatial_dipg

target

Topological inference of horizontal evolution from multiple sequence alignments