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15 followers · 13 following

Achievements

Achievement: StarstruckAchievement: QuickdrawAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

Achievements

Achievement: StarstruckAchievement: QuickdrawAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

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jackgisby/README.md

Recent projects 📂

Software packages 💻
Package Description Links
ReducedExperiment An R package that implements classes for applying and manipulating the results of dimensionality reduction GitHub
DeepMet A command line application written in Python for training and applying deep one-class models to molecular data GitHub
packFinder An R package for detecting a special type of transposon (genetic material that can move around and replicate itself) in genome sequence data GitHub Bioconductor
Academic publications 🎓
Description Links
Mining high-dimensional biological datasets to understand the response to COVID-19 Nature Comms
Predicting critical illness for COVID-19 patients Nature Comms
Modelling the temporal profiles of proteins during COVID-19 eLife
Mini projects and notebooks 📚
Description Links
Processing TfL data for bike usage with Google Cloud Platform GitHub

Stats 📊

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  1. ReducedExperiment ReducedExperiment Public

    Containers for dimensionally-reduced -omics data

    R 1

  2. packFinder packFinder Public

    A package for the de novo discovery of pack-TYPE transposons

    R 5 1

  3. tfl-bikes-data-pipeline tfl-bikes-data-pipeline Public

    Processing TfL data for bike usage with Google Cloud Platform.

    Python 40 5

  4. ImperialCollegeLondon/ReCoDE_rnaseq_pipeline ImperialCollegeLondon/ReCoDE_rnaseq_pipeline Public

    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 computi…

    Shell 7 5

  5. longitudinal_olink_proteomics longitudinal_olink_proteomics Public

    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/eLif…

    R 7 2