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accelerated_intro_to_compbio_part_2

Part 2 of the "Accelerated intro to Computational Biology for Biologists" course for the Master's Programme in Computational Biology, Universidad Politecnica de Madrid. This covers the first 2 weeks (~24 hours) of material, taught by Mark Wilkinson.

accelerated_intro_wilkinsonexams

Exam Questions and instructions for the Accellerated Introduction to Computational Biology M.Sc. course - Wilkinson Section

assignmentanswers

Solutions to the assignments proposed in the Bioinformatics Programming Challenges course from the Master in Computational Biology at Universidad Politécnica de Madrid.

bibliowl2

Ontoology repository for publication of the BibliOWL Ontology. Created for the Semantic Technologies course from Master in Computational Biology (Universidad Politécnica de Madrid)

bigdata

Jupyter Notebooks collection for deep learning analysis of pneumonia images (kaggle repository). Project for BigData course of the Master in Computational Biology (Universidad Politécnica de Madrid)

bioinfo_programmingchallenges

A BioRuby-based course for the Computational Biology M.Sc. Programme

bioinformaticsretos-1-4

First four lectures for the Bioinformatics Programming Challenges course

bioinformaticsretos-5-8

Lectures 5 to 8 of the Bioinformatics Challenges course

enzyme_digestion

evolutionarybiology

Code and Reports for the course of Computational tools for Evolutionary Biology from the Master's in Computational Biology from Universidad Politécnica de Madrid

google-scholar-perl

Automatically exported from code.google.com/p/google-scholar-perl

humann

HUMAnN 3.0 is the next generation of HUMAnN 1.0 (HMP Unified Metabolic Analysis Network).

introduction_r

Intro to programming in R

landmarks_generator

lmf_proy.py

Program to search and analyse proteins in a series of prokaryotic genomes

machinelearning

Assigments reports for the Machine Learning course from the Master in Computational Biology from UPM

modelization

Answers to exercises proposed in the course Modelization of Biological Systems from the Master in Computational Biology from UPM

stat_ine_2020_mortality

Code and Description for Visualizations for the Master in Computational Biology Statistic Data Analysis and Visualization course in 2020 Mortality INE dataset(2022)

tfm

This GitHub repository houses the code and associated resources for my Master's thesis titled "Studying fecal microbiota transplantation in HIV patients by novel functional profiling and enrichment method".

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

training-collection

Collection of bioinformatics training materials