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Computational models of different aspects of COVID-19

ELIXIR Luxembourg's GA4GH Beacon API implementation in Python

The back-end component of Fractalis.

STAR and DESeq2

Integrated meta-omics pipeline

Scheduling assignments for Parkinson Research Clinic

Additional analyses for IMP manuscript

LAO time series analyses

A project for interactions with PubChem

Code used for the analysis of the RNA-seq, ATAC-seq and ChIP-seq datasets produced in this study. Original fastq files deposited in https://ega-archive.org/, under the accession number EGAD00001009288.

Repository for building the official website of the R3 lab.

Here is the presence on the university website.

Basic practice repository for git trainings

This repository contains the code for ML analyses performed in Chapter 4 of my PhD thesis "Interpretable Machine Learning on omics data for biomarker discovery in Parkinson's disease". The project consists on performing Parkinson's disease (PD) case-control classification from blood plasma metabolomics measurements at the baseline clinical visit from the LuxPARK cohort, and from whole blood transcriptomics data at baseline as well as dynamic features engineered from a short temporal series of 4 timepoints from the PPMI cohort. The study involves evaluation of different feature selection strategies, The goal was to build and test a collection of ML models and, most interestingly, identify molecular and higher-level functional representations associated with PD diagnosis.

Basic practice repository for git trainings

Method testing and analyses of Oxford Nanopore Technology (ONT) sequencing runs Data obtained by sequencing "generous donor B" across several runs Original data prepared by Rashi (post-sequencing) Initial analyses performed by CCL

Data Information System (DAISY) is a data bookkeeping application designed to help Biomedical Research institutions with their GDPR compliance.