Algorithms for Sequence Analysis in Bioinformatics
Información académica
Code:
52115
Créditos:
4 ECTS
Language:
English
Description
This course presents the main methods for sequence analysis in bioinformatics, including Viterbi, Baum–Welch, posterior decoding, SCFG applied to RNA folding, gene prediction algorithms, Infernal (INFERence of RNA ALignment software), secondary structure prediction algorithms in proteins and algorithms, domain profiles and HMM algorithms and methods for gene prediction, among others.
Fernando Cruz
Lecturer
Bachelor’s Degree in Biology (University of Vigo)
Master’s Degree in Population Genetics (University of Vigo)
PhD in Molecular and Genetic Biology University of Vigo)
Fernando Cruz earned his PhD from the Department of Genetics at the University of Vigo. He went on to work as a postdoctoral researcher for seven years, acquiring extensive experience and expertise in bioinformatics, programming and genomics at a number of research centres, including the Smurfit Institute of Genetics (TCD, Ireland), the Evolutionary Biology Centre at the University of Uppsala (Sweden), the Evolutionary Bioinformatics Laboratory in Lausanne (Switzerland) and the Doñana Biological Station (EBD-CSIC, Spain). Since 2014 he has worked in genomics and bioinformatics as a data analyst as part of the Genome Assembly and Annotation Team at the Centre Nacional d’Anàlisi Genòmica (CNAG).