Using MOFA for integration of multi-omics data
Oct 6, 2022
This course provides an overview of advanced applications of multi-omics methods, provide insights into how to select the most appropriate methods and convey practical experiences by providing participants with hands-on training
Sep 20, 2022
One-day workshop on Multi-Omics Factor Analysis
Nov 29, 2021
One-week teaching course on multi-omics data analysis, repeated in 2020, 2021 and 2022.
Jun 1, 2021
One-week teaching on single-cell data analysis
May 24, 2021
Fundamentals of Computational Biology is a compulsory subject of the curriculum of the bachelor's degree in Human Biology at the Universitat Pompeu Fabra. Its goal is to introduce concepts and basic tools of computation and information technologies, required to address biological questions using a computer. The purpose of introducing this subject at the beginning of the curriculum is to enable the student using the tools and abilities acquired in FCB throughout the whole degree. The main topics of FCB are manipulating files from the command line, programming with Python and R, and developing automatized and reproducible workflows, in the context of biological data analysis.
Sep 28, 2020
This course provides advanced-level training in using large-scale multi-omics data and machine learning to infer biological models.
Jul 8, 2019
This introductory course is aimed at biologists who are embarking on multiomics projects and computational biologists / bioinformaticians who wish to gain a better knowledge of the biological challenges presented when working with integrated datasets.
Feb 12, 2019
Mathematical Biology is the first-year Natural Sciences mathematics course designed for biologists. The course teaches a range of skills in mathematical modelling, probability and statistics and simple computer programming. The course is designed to approach these areas from an integrated biological point of view. A range of mathematical and statistical techniques, including ordinary differential equations, local stability analysis, coupled differential equations, hypothesis testing, regression, matrix algebra, basic probability and probability distributions are introduced in the context of biological systems.
Sep 28, 2017
Two-month teaching assistant at the course Biological Sequence Analysis, led by Anders Krogh. The course covers the fundamental theoretical background for biological sequence analysis as well as applications of the methods. The topics include Alignment methods for biological sequences, Methods for searching sequence databases, Hidden Markov models with applications, Motif finding and discovery, Mapping and assembly of DNA sequencing data, among others.
Oct 1, 2015