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Facultade de Ciencias
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Mestrado Universitario en Bioloxía Molecular , Celular e Xenética
 Subjects
  Bioinformatics and Biomolecular models
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Identifying Data 2019/20
Subject (*) Bioinformatics and Biomolecular models Code 610441020
Study programme
Mestrado Universitario en Bioloxía Molecular , Celular e Xenética
Descriptors Cycle Period Year Type Credits
Official Master's Degree 2nd four-month period
First Optional 3
Language
Spanish
Teaching method Face-to-face
Prerequisites
Department Bioloxía
Ciencias da Computación e Tecnoloxías da Información
Computación
Coordinador
Dorado de la Calle, Julian
E-mail
julian.dorado@udc.es
Lecturers
Becerra Fernandez, Manuel
Dorado de la Calle, Julian
Fernández Lozano, Carlos
E-mail
manuel.becerra@udc.es
julian.dorado@udc.es
carlos.fernandez@udc.es
Web
General description Knowledge management in biology is the field of bioinformatics, and includes both the formalization of the information obtained and its organization in appropriate databases, the extraction of relationships between the scattered information, the modeling of biological processes and the generation of hypotheses to support new experimental approaches. From a technical standpoint, bioinformatics using computational methods (the proper method development in this area is often called computational biology) and receives contributions from mathematics, physics and computer engineering. However, from the point of view of the objectives, bioinformatics is a branch of biology, as they can be biochemistry or microbiology. This interdisciplinary nature of bioinformatics lies both its strength and its weakness: first, the application of ideas brought from other fields consistently produces spectacular advances; but on the other hand, it is difficult to develop appropriate training programs. To realize the importance of bioinformatics in modern biology, it may enough to say that the method most cited publications in this area is Blast, a computational method that searches and identifies sequences of proteins and nucleic acids in databases: ie more technical operations is performed by computational biologists, and no experimental. In fact, the interpretation of any experiment in biology requires complex, almost inevitably, bioinformatic analysis, which is especially obvious in massive experiments.
Contingency plan
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.
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