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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
A comparison of time series forecasting methods Kaggle GitHub

Stats 📊

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  1. ReducedExperiment ReducedExperiment Public

    Containers and tools for dimensionally-reduced -omics data

    R 3 2

  2. packFinder packFinder Public

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

    R 7 1

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

    Processing TfL data for bike usage with Google Cloud Platform.

    Python 46 7

  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 11 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 8 4