The modeling code used for Manole et al, Canc Res, 2016.
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Updated
Jun 6, 2017 - MATLAB
The modeling code used for Manole et al, Canc Res, 2016.
Examine treatment outcomes, and predict the incidence of Tuberculosis
Data and analysis scripts used in Predicting resistance of clinical Abl mutations to targeted kinase inhibitors using alchemical free-energy calculations
Flexible and disposable paper and plastic-based gel micropads for nematode handling, imaging and chemical testing
HCV drug resistance extension based on collaboration with PHE.
The SNP and gene datasets of M. Tuberculosis for drug resistance prediction.
Minor Variant Calling and Phasing Tools
Personalised scoring system for lung cancer patients that enables ranking of the activated interventional nodes.
Web application for HBV-GLUE
This study assessed the spatial genetic variation in P. falciparum populations in Mali
Snakemake pipelines to run the analysis for the Illumina vs. Nanopore comparison.
This repository is for ER+ breast cancer scRNA-seq data processing and figure generation.
Compartmental model projecting cases, resistant cases, and deaths averted in Africa from 2021-2030 with a vaccine similar to RTS,S.
Multipurpose tool for targeted variant calling of genetic polymorphisms in Mycobacterium Tuberculosis
Drug Response Estimation from single-cell Expression Profiles
Clusters phosphoproteomics data based on a combination of the sequence information and abundance changes over conditions.
A method to predict activating, deactivating and resistance mutations in kinases
Generate a rich feature space describing all possible mutations in a given protein sequence (+ structure)
A GLUE project for hepatitis B virus (HBV).
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