Guía Docente 2023-24 GENÉTICA DE POBLACIONES |
BASIC DETAILS:
Subject: | GENÉTICA DE POBLACIONES | ||
Id.: | 33308 | ||
Programme: | GRADUADO EN BIOINFORMÁTICA. PLAN 2019 (BOE 06/02/2019) | ||
Module: | CIENCIAS DE LA VIDA | ||
Subject type: | OBLIGATORIA | ||
Year: | 3 | Teaching period: | Segundo Cuatrimestre |
Credits: | 3 | Total hours: | 75 |
Classroom activities: | 33 | Individual study: | 42 |
Main teaching language: | Inglés | Secondary teaching language: | Castellano |
Lecturer: | Email: |
PRESENTATION:
PROFESSIONAL COMPETENCES ACQUIRED IN THE SUBJECT:
General programme competences | G03 | Cooperate to achieve common results through teamwork in a context of integration, collaboration and empowerment of critical discussion. |
G04 | Reason critically based on information, data and lines of action and their application on relevant issues of a social, scientific or ethical nature. | |
G05 | Communicate professional topics in Spanish and / or English both orally and in writing. | |
G07 | Choose between different complex models of knowledge to solve problems. | |
G08 | Recognise the role of the scientific method in the generation of knowledge and its applicability to a professional environment. | |
G10 | Apply creativity, independence of thought, self-criticism and autonomy in the professional practice. | |
Specific programme competences | E12 | Apply the principles and techniques of protein computational modelling to predict their biological function, their activity or new therapeutic targets (Structural Bioinformatics, Computational Toxicology). |
E13 | Apply omics technologies for the extraction of statistically significant information and for the creation of relational databases of biodata that can be updated and publicly accessible to the scientific community. | |
E15 | Infer the evolutionary history of genes and proteins through the creation and interpretation of phylogenetic trees. | |
E16 | Plan linkage and association studies for medical and environmental purposes. | |
E17 | Induce complex relationships between samples by applying statistical and classification techniques. | |
E18 | Apply statistical and computational methods to solve problems in the fields of molecular biology, genomics, medical research and population genetics. | |
E19 | Explain the main biochemical reactions by applying the principles of chemical kinetics and thermodynamics. | |
E20 | Relate the overall functioning of the organism with the basic mechanisms at the cellular and molecular level. | |
E21 | Apply computational and data processing techniques for the integration of physical, chemical and biological concepts and data for the description and/ or prediction of the activity of a substance in a given context. |
PRE-REQUISITES:
Basic knowledge of genetics and molecular biology is required.
SUBJECT PROGRAMME:
Subject contents:
1 - GENETICS OF MENDELIAN POPULATIONS |
1.1 - Genetic Diversity |
1.2 - Genes and Populations: Hardly-Weinberg Law |
1.3 - Mutation |
1.4 - Migration |
1.5 - Genetic Drift |
1.6 - Natural Selection |
2 - MOLECULAR GENETIC OF POPULATIONS |
2.1 - Molecular population genetics |
2.2 - Population genetics and evolutionary biology |
2.3 - Population genetics: applications and repercussions |
3 - Population Genetics Data Analysis: Computer tools |
Subject planning could be modified due unforeseen circumstances (group performance, availability of resources, changes to academic calendar etc.) and should not, therefore, be considered to be definitive.
TEACHING AND LEARNING METHODOLOGIES AND ACTIVITIES:
Teaching and learning methodologies and activities applied:
Theoretical sessions
The master class will be used mainly for the transmission of contents in a time occupied mainly by oral presentation and ICT support. Each of the topics will be exposed in a synthetic way, so that the student must delve into the different subjects to through the bibliographic search and the resolution of practical cases individually or in groups. During master class, the teacher may require student participation. Summaries will be made, diagrams of what exposed in each session and will be oriented towards autonomous learning and the best way to overcome the different activities proposed throughout the course. The explanations will be complemented with a short projection (about 5 minutes) of audiovisuals that can visually contribute aspects of interest.
Throughout the sessions, communication between teacher and students will be present at all times; Multiple questions will be posed to the students, who must be participatory and
professor will solve all those doubts that arise in situ.
Practical cases and problems.
The contents of the subject must be able to be applied to specific cases through problems. The student will be provided with a set of problems and cases to solve.
Part of these cases will be solved in class to provide the student with the basic tools applied to population genetics
The rest will be proposed in the PDU and the student will have one week to deliver the resolution. These cases will also be corrected in class so that students can see if they have made a mistake at any point.The tasks will include research proposals and search for information complementary to that taught in class.
A continuous evaluation will be carried out throughout the course, combining the problems to be solved in class and the problems proposed through the PDU as individual work.
Tutoring sessions
During these sessions, the student will be able to ask the professors, both in person and through the university teaching platform, all those doubts that could not be answered.
solved during the theoretical classes. Likewise, during this time the student may request a specific extension bibliography on a specific topic and / or any other type of
information related to the subject.
Student work load:
Teaching mode | Teaching methods | Estimated hours |
Classroom activities | ||
Master classes | 13 | |
Practical exercises | 2 | |
Practical work, exercises, problem-solving etc. | 7 | |
Films, videos, documentaries etc. | 2 | |
Other practical activities | 2 | |
Assessment activities | 7 | |
Individual study | ||
Individual study | 13 | |
Individual coursework preparation | 13 | |
Research work | 9 | |
Compulsory reading | 7 | |
Total hours: | 75 |
ASSESSMENT SCHEME:
Calculation of final mark:
Written tests: | 20 | % |
Individual coursework: | 25 | % |
Final exam: | 55 | % |
TOTAL | 100 | % |
*Las observaciones específicas sobre el sistema de evaluación serán comunicadas por escrito a los alumnos al inicio de la materia.
BIBLIOGRAPHY AND DOCUMENTATION:
Basic bibliography:
HEDRICH, Philip W. Genetics of populations.Jones and Bartlett Publishers.Third Ed. 2005 |
HARTI, Daniel L.A primer of population genetics.Sinauer Associates. Third Edition 1999 |
NIELSEN Rasmus, SLATKIN Montgomery. An Introduction to population Genetics. Sinauer Associates.2013 |
PIERCE, Benjamin A. Genetics. Macmillan international.Seventh edition.2020 |
DAWKINS, Richard. Evolution: the greatest show on Earth. Espasa. fourth Edition 2009 |
DELIBES,Miguel. Vida, la naturaleza en peligro. Temas de Hoy. 2001 |
Recommended bibliography:
Recommended websites:
* Guía Docente sujeta a modificaciones