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victor-fdz/README.md

Víctor Fernández Oliveras

LinkedIn    Email

I'm a bioinformatician🖥️ with a genetics background🧬. Most of my work sits between genomics and deep learning: building machine learning models💡, handling large omics datasets on HPC⚙️, and performing biostatistical analysis📊.

Tools

Python R Bash Nextflow Anaconda Git Linux Jupyter VS Code

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  1. Deep-Learning-for-Quantitative-Phenotypes-Prediction-from-Genomic-Data Deep-Learning-for-Quantitative-Phenotypes-Prediction-from-Genomic-Data Public

    Bachelor's Thesis

    Jupyter Notebook 2

  2. Bacterial-Genomics Bacterial-Genomics Public

    Own scripts used to solve problems in the subject of Bacterial Genomics.

    Python

  3. COVID-19-data-analysis COVID-19-data-analysis Public

    Small analysis of COVID-19 data from an statistical point of view.

    R

  4. DeepBenchBioData DeepBenchBioData Public

    Nextflow Pipeline using a Siamese Neural Network for enhancing ncDNA alignment through curated gene expression data.

    Python 1

  5. Machine-Learning-Sports-Injury-Analysis Machine-Learning-Sports-Injury-Analysis Public

    Predicting Sports Injury Risk: A Machine Learning Analysis of Integrated Physiological and Biomechanical Data. Work for HPC and Big Data Analysis of my MSc in Bioinformatics

    Jupyter Notebook

  6. Variant-calling-and-statistical-analysis-of-SNPs-and-SVs Variant-calling-and-statistical-analysis-of-SNPs-and-SVs Public

    Scripts developed as an intern at the Centre for Research in Agricultural Genomics (CRAG).

    Python