The CGR GWAS QC processing workflow.
-
Updated
Jun 12, 2024 - Python
The CGR GWAS QC processing workflow.
MSc project for Bioinformatics with Systems Biology at Birkbeck, University of London
Analysis of structural variant breakpoints in cancer genomes
Simulate ecDNA structures with user-specified properties.
Visualizing the longitudinal impact of cancer center funding patterns on state cancer rates over the years.
Cancer Genomics Data Analysis exercise for the course Analytical Methods in Cancer Genomics 2023. The goal of the exercise is to generate a read-depth plot for human cancer sample.
Snakemake workflow for making synthetic tumours
Python script to download files from the GDC server
A deep learning-based normal contamination prediction tool
A Python implementation of DriverNet
Precision Medicine Target-Drug Selection in Cancer
Classify Cancer types upon Alleles
This repository houses a workflow that uses biological feature trees to segregate cancer RNA-seq datasets, then it trains machine learning models to predict the presence or absence of known, cancer-associated DNA-level mutations.
Snakemake workflow to profile MHC-I neoepitopes with bulk tumor RNAseq data
Public codes for Cascaded Wx algorithm to select genes relative with patients survivals.
Roche entry into Precision FDA hackathon
DETOPT is a combinatorial optimization method for DETermining Optimal Placement in Tumor progression history of SNVs from the genomic regions impacted by CNAs using multi-sample bulk DNA sequencing data
Detecting various characteristics of glioblastoma using Deep Learning
A tool to find reads supporting/opposing structural variant breakpoints
Mobile Element Insertion Breakpoint Analyzer (MEIBA)
Add a description, image, and links to the cancer-genomics topic page so that developers can more easily learn about it.
To associate your repository with the cancer-genomics topic, visit your repo's landing page and select "manage topics."