→Master BIOINFORMATICS | OMICS DATA ANALYSIS
The aim of the Master of Science program in Bioinformatics/ Omics Data Analysis is to produce well trained professionals who after graduation would be able to perform efficient and rigorous omics data analysis in a wide range of applications.
mon.uvic.cat/master-omicswww.uvic.cat/masters
Master Be who
you want to be!
MASTER IN BIOINFORMATICS | OMICS DATA ANALYSIS
ECTS: 60
Dates: From October to September
Timetable: Afternoon classes from 3 pm to 7pm
Type of course: On-site or online
Language of instruction: English
Orientation: Professional and research
Coordinator: Malu Calle ([email protected])
Admission requirements: Applicants need to meet the general admission requirements for this kind of course. Check your eligibility at www.uvic.cat/en/accesmasters
Professional Profile: To train specialists in bioinformatic and omics data analysis in rese-arch centres, universities, hospitals and bio-technology and biomedical enterprises and to serve as a starting point for a research career.
PROGRAM
Subjects Contents Credits
BIOINFORMATICS
Programming and database management for Bioinformatics: Linux, Python, BioPython, MySQL and iCloud
4,0Statistical and data mining methods for omics data analysis. R and Bioconductor
GENOMICS
Concepts of genomics and techniques for genomic data acquisition
7, 0Genome Bioinformatics
Analysis of Complex Disease Association Studies
TRANSCRIPTOMICS
Concepts of transcriptomics and techniques for transcriptomic data acquisition
7, 0Analysis of Microarray gene expression data
Next Generation Sequencing analysis
EPIGENOMICSConcepts of epigenomics and techniques for epigenomic data acquisition 5, 0
Epigenomic data analysis
PROTEOMICS
Concepts of proteomics and metabolomics
5,0Proteomics data analysis
Metabolomics data analysis
INTERACTOMICS
Concepts of interactomics
7, 0Systems Biology
Integrative Genomics
APPLICATIONS* Applications 10, 0
FINAL MASTER PROJECT Final Master Project 15, 0
DESCRIPTION
The master responds to the growing use of high-throughput omics techniques, both in the context of biomedical research and in the pharmaceutical and biotechnology in-dustries, and to the increasing demand for highly qualified professionals in this field.
The program covers genomics, epigenomics, transcriptomics, proteomics, metabolomics, metagenomics, interactomics and integromics and provides knowledge of the most import-ant techniques for omic data acquisition and analysis. The students will be able to ana-lyze omics data information using appropri-ate statistical and bioinformatics tools.
The teaching methodology, in collaboration with re-search centers and companies in the field, will en-sure that a wide range of applications are covered.
*A wide range of applications will be covered mainly by external collaborators from research enters and companies: Genomics of monogenic and complex diseases (cancer) / Genetic variability of viruses (VIH) / Nutrigenomics / Neurogenomics / Pharmacogenomics / Genomics and animal breeding / Genomics and Aging / Genomics and Food science / Biodiversity / Molecular evolution analysis
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