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Universitat Internacional de Catalunya

Bioinformatics

Bioinformatics
1
11718
1
Annual
OB
Main language of instruction: English

Other languages of instruction: Catalan, Spanish

Teaching staff


Students are requested to email to arrange a meeting.

Dr. Joan Marc Martínez Láinez (mlainez@uic.es)

Introduction

 Bioinformatics is an area of research where computer science and information technology are applied for the treatment of biological data. This is inherently cross-disciplinary. It is applicable to all areas of the life sciences and health, including genomics, proteomics and gene and metabolic networks. The fields on which it has a key impact are very diverse and increasingly specialized, which makes bioinformatics a rare and highly valued profession. The sheer volume of data that different biomedical fields generate necessitates the use and development of computational techniques, making bioinformatics an essential science and leading to the transformation of this avalanche of data into knowledge. To manage all this information flexibly and naturally represents one of the greatest current challenges, ranging from the bioscience design of databases and algorithms for storing and analysing the information and networking models that integrate all available information.

Pre-course requirements

None.

Objectives

  • To identify the different areas that includes the word "bioinformatics".
  • To understand and to manipulate the molecular main public data bases.
  • To introduce the in-silico design of biomolecules

Learning outcomes of the subject

  • Properly designed experimental / non-experimental studies and knowledge of the basic principles of qualitative studies.
  • Aware of the latest advances in the field of interest chosen.
  • Integra experimental research with care and treatment possibilities.

Syllabus

1. Introduction to Bioinformatics: Travel through the human genome using an online genome browser

2. Genetic variation: Explore the secret of eye colour and its infinite variation in the human population

3. Local sequence alignment: Discover some of the genetic changes that make us human

4. Multiple sequences alignment: Dig into the past to know the hair colour of mammoths and Neanderthals

5. Molecular epidemiology: Trace an example of HIV transmission in a dental practice

 

1. Introducción a la bioinformática: viaje a través del genoma humano utilizando un navegador de genoma en línea

2. Variación genética: explora el secreto del color de los ojos y su infinita variación en la población humana

3. Alineación de secuencias locales: descubre algunos de los cambios genéticos que nos hacen humanos

4. Alineación de secuencias múltiples: profundiza en el pasado para conocer el color del cabello de mamuts y neandertales

5. Epidemiología molecular: rastrear un ejemplo de transmisión del VIH en una práctica dental


Teaching and learning activities

Online



Teaching: MC, TRB

Learning activities:  CT (1 ECTS)

Evaluation systems and criteria

Online



Case study work - RC (50%)

Final exam - PFE (50%)

Bibliography and resources

Provided by the teacher