Introduction to bioinformatics · EEBE

Bioinformatics · Universitat Politècnica de Catalunya

Alexandre Perera-Lluna

Enroll

For starters

https://tinyurl.com/bcbeebe2026

Teachers

Dr. Alexandre Perera

  • email: Alexandre.Perera@upc.edu

  • Full professor

  • b2slab.upc.edu // Institut de Recerca i Innovació en Salut (IRIS)

  • Universitat Politècnica de Catalunya

Dr. Flavio Palmieri

  • email: flavio.palmieri@upc.edu

  • Associate Professor

  • Universitat Politècnica de Catalunya

Course calendar

  • Use the current campus calendar for session dates, deadlines, and room information.
  • Seminar sessions cover complex human genetic diseases.

Course Structure

  1. Introduction

  2. Introduction to Genetics and Molecular Biology.

  3. Resources: Databases and Algorithms.

  4. Sequence Analyses. Homology.

  5. Introduction to Gene expression and RNA-seq technologies.

  6. Heritability and Complex diseases in Homo sapiens.

  7. Structure of Proteins and tools for structure prediction (opt)

Transferable skills

  • Teamwork

  • The R Software for Statistical Computing

Labs (1/2)

Lab Topic
L1 Introduction to R
L2 Ensembl and NCBI
L3 Sequence comparison and homology
L4 Introduction to Pattern recognition with R
L5 Differential Expression

Labs (2/2)

Lab Topic
L6 Functional Enrichment
L7 Genetic Association. QC and statistical stratification
L8 Genetic association. GWAS in thrombophilia

Genetic-association labs require a Unix-like environment.

Course planning

Planning (also on the campus)

Assessment (provisional)

  1. Laboratories and Reverse Class (RC) activities (33%)

  2. 2 quizzes (  33%)

  3. A final Assignment (  34%)

Final Assignment

  1. You will be offered several project topics.

  2. Most goals will try to replicate partial results from a research paper.

  3. You may also propose your own topic, dataset, or research question.

Questions and discussion

What would you like to investigate with biological data?