Jack Gisby's Projects
Repository for the paper: "Multi-omics identify LRRC15 as a COVID-19 severity predictor and persistent pro-thrombotic signals in convalescence" by Gisby and Norzawani et al. doi: https://doi.org/10.1101/2022.04.29.22274267
A deep one class model for the identification of endogenous metabolites.
Pipeline for downloading and processing RNA-seq data
Site based on a Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Repository for the paper: "Longitudinal proteomic profiling of dialysis patients with COVID-19 reveals markers of severity and predictors of death" by Gisby et al. doi: https://doi.org/10.7554/eLife.64827
Python package for de novo structural elucidation of small molecules in mass spectrometry-based Metabolomics
Miscellaneous mini projects, such as kaggle notebooks
MR for multiple exposures implemented using nextflow
A package for the de novo discovery of pack-TYPE transposons
A parallelised pipeline for the analysis of RNA sequencing data. This repository is part of Imperial College London's ReCoDE project, which aims to support teaching and learning in research computing and data science.
Containers for dimensionally-reduced -omics data
Parallel implementation of subset sum in Python
Processing TfL data for bike usage with Google Cloud Platform.