Alejandro Sánchez Gracia

Contact details:

Position

Lecturer

Qualifications

Bachelor’s Degree in Biology (UB), PhD in Genetics (UB) 

Biography

Alejandro Sánchez-Gracia is a lecturer for the Serra Húnter programme and director of the research group in Computational and Evolutionary Genomics at the Department of Genetics, Microbiology and Statistics at the University of Barcelona (GME-UB). His lines of research focus on evolutionary genomics and bioinformatics applied to the study of genetic variation. He is also codirector of the Evolutionary Genomics and Bioinformatics space at GME-UB. His teaching experience includes genetics and genomics and molecular evolution, with particular focus on their computational aspects. He has published numerous peer-reviewed articles on the molecular evolution of chemosensory gene families in arthropods, the annotation and analysis of various charismatic animal and plant genomes, and the demographic and adaptive history of natural populations of different species.

Subjects they teach

Subject
Programme
Typology

Genetics and Genomics

Bachelor's Degree in Bioinformatics

Core

Programme:
Bachelor's Degree in Bioinformatics

Description

This course examines the basic concepts of genetics and inheritance. It includes advanced subjects on the structure and function of genes, chromosomes and genomes, as well as basic methodologies and their main applications in life sciences.

Code:
51308

Créditos:
6 ECTS

Language:
English

Type of subject: Core

Population Genetics and Molecular Evolution

Bachelor's Degree in Bioinformatics

Required

Programme:
Bachelor's Degree in Bioinformatics

Description

This course covers the fundamental concepts underpinning DNA and protein sequence evolution, from within populations to between species, as well as their basic applications. Subjects include the Hardy–Weinberg equilibrium, linkage disequilibrium and gene mapping, the coalescent theory, neutrality-based tests and phylogenetic reconstruction. It will also explore the main computer algorithms and software to understand the patterns and process underlying DNA (and protein) sequence evolution, as well as to build phylogenetic trees.

Code:
52322

Créditos:
5 ECTS

Language:
English

Type of subject: Required