Class Applied Bioinformatics

 In the Applied Bioinformatics CU, students develop skills in the area of analysis and processing of biological data or modelling, which is of great importance for the development of applied biochemistry in different areas ranging from health to the food industry. This CU is crucial for analysing and interpreting large volumes of data generated by modern techniques such as genetic sequencing and proteomics. It allows these data to be integrated and correlated with functional and structural information, promoting a deeper understanding of biochemical processes. In this course, students will also become familiar with the use of specialised tools and software for modelling molecular structures and predicting biomolecular interactions. This is essential for the research and development of new therapies and diagnostic strategies.  

Not applicable

-What is bioinformatics. Scientific and computational models -Organization of biological information. Ontologies and database searches. -Alignment of two sequences: the problem, algorithms and applications -Sequence search. Difference between alignment and search. Algorithms and applications. -Alignment of multiple sequences. Sequence profiles. -Phylogenetics and evolution. -Identification and classification of conserved motifs in proteins. -Protein structures: structural elements, visualization, formats and databases -Structure modeling: homology, threading, molecular dynamics -Molecular interaction -Artificial intelligence in bioinformatics -Introduction to programming for data processing and organization.

Teaching will consist of theoretical classes explaining and discussing concepts and algorithms, and practical classes in which students will use freely available tools, especially online, and discuss the results obtained. Grading will be based on work, the first being more analysis and criticism of a technique and the second being application. The themes of the work will be flexible, with the student being able to choose topics that are appropriate to the curricular unit and that allow the knowledge acquired to be assessed.

Practical Bioinformatics, Michael Agostino, Garland Science 2012 Understanding Bioinformatics, Marketa J. Zvelebil, Jeremy O. Baum, Garland Science 2008 Structural Bioinformatics: An Algorithmic Approach, Forbes J. Burkowski, 2008