Oscar Lao
Position
Lecturer
Qualifications
PhD in Health Sciences (UPF)
Biography
Oscar Lao holds a Bachelor’s Degree in Biology from the University of Barcelona and a PhD in Health Sciences from UPF. Between 2005 and 2014 he worked as a postdoctoral fellow at the Forensic Molecular Biology Department at the Erasmus Medical Centre University in Rotterdam, the Netherlands. His research focused on the analysis and interpretation of genetic variation present in human populations and the development of new statistical and bioinformatics tools for detecting hidden population substructure. As result of this work, Oscar Lao has co-authored over 60 papers published in prestigious scientific journals and encyclopaedias.
Subjects they teach
Clustering Methods and Algorithms in Genomics and Evolution
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Programme:
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This course covers dynamic programming, database search (Blast), compression-based string matching (DNA aligners), assembling algorithms, multiple-sequence alignments, RNA folding algorithms (Zuker, Nussinov), structural superposition algorithms. Assembly algorithms, De Bruijn graphs. Usearch, UPGMA, NJ, ML and parsimony trees, Bayesian tree reconstruction.
Statistical Learning
Bachelor's Degree in Bioinformatics
Required
Programme:
Bachelor's Degree in Bioinformatics
This course introduces techniques to model and analyse complex data, including big data sets, and stresses their application to the analysis of omics data. It comprises three major areas: i) statistical modelling, including linear models and generalised linear models widely used for selecting genes in transcriptomics; ii) supervised learning covering a wide range of techniques for classification and prediction; iii) unsupervised learning regarding techniques for data visualisation in reduced dimension (e.g. PCA) or clustering for finding patterns in data.
Code:
53130
Créditos:
5 ECTS
Language:
English
Type of subject: Required