Degree | Type | Year | Semester |
---|---|---|---|
2500890 Genetics | OT | 4 | 0 |
The purpose of this subject is to cover basic topics of bioinformatics in the form of practical lessons, workshops and lectures given by experts. It is not a cumulative subject but a transversal one, whose purpose is to provide students with the wide range of concepts and approaches that bioinformatics encompasses.
The main objective is to provide students with the knowledge and skills necessary to apply bioinformatics in different areas of genomic research and, by extension, other omics. The subject taught and the activities carried out during this course provide a global insight into the potential of bioinformatics field in both basic and applied research.
The subject will be composed of theoretical-practical sessions, lectures and workshops given by recognized specialists in the different subjects and fields.
Theoretical-practical sessions (~ 11h)
They will take place in the computer room. Students will work both individually and as a group (3 students) promoting active learning that will allow them to develop the capacity for analysis and synthesis, critical reasoning and the capacity to solve problems.
Title |
Description |
Introduction |
Introduction of workflows, analysis, methodology and grading of the subject |
Data management and processing |
Types of biological data: sequences, annotation, expression data, alignments… Familiarizing oneself with the properties and structure of each type of data and the tools to analyze them is key in bioinformatics. Processing of raw data. |
Data exploration and visualization |
A través de esta práctica aprenderán a representar datos biológicos en un mensaje claro y a extraer información de los mismos. |
Genome-Wide Association studies |
Perform a complete genome association study of a complex human disease. |
Transcriptomic analyses |
Perform acomplete expression analysis of a human cancer, distributed in the following steps: - Data quality control - Alignment of RNA-seq - Differential expression analysis - Visualization of the results |
Mentoring* |
*Two extra sessions of two hours will be implemented to be set according to the needs of the students and the difficulty of the cases. |
Title |
Speaker |
Tentative date |
How to survive a PhD |
Edgar Garriga |
Diciembre 2020 |
|
|
|
¿Cómo podemos analizar el genoma del cáncer? |
Claudia Arnedo |
Diciembre 2020 |
In-person learning activities and autonomous learning.
A cooperative learning experience will be implemented, specifically the Puzzle methodology will be followed: data sets and procedures are provided in a distributed manner to small groups. Each group must manage and solve practical cases autonomously.
Each module will work in parallel on similar concepts through real practical cases, so that once finished the students will exchange information about the chosen methodology, its development and the results obtained, trying to achieve an effective cooperation among the students. The members of each group will know in depth the information they manage. Each group will make a lecture and/or writing of a portfolio through which the other groups understand the characteristics and foundations of each analysis. The four practical sessions will be linked, since the results of one practice will serve as data input for the next practice.
The active participation, the management of the work, as well as the discussion of the acquired knowledge will form a vital part in the role played by each student.
Conferences and workshops
A total of 5 lectures will be given by experts in their respective fields of research or work that will offer a real vision on how bioinformatics plays a key role in the resolution of basic and applied biological research questions. Emphasis will be placed on the importance of data processing in the current era of big data.
The two workshops will consist of two sessions that will deal with two aspects of practical interest: how to survive a PhD and learning how to disseminate science with a real example.
*The proposed teaching methodology may experience some modifications depending on the restrictions to face-to-face activities enforced by health authorities.
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Lectures | 11 | 0.44 | 3, 6, 5, 7 |
Theoretical-practical sessions | 13 | 0.52 | 3, 4, 6, 5, 7, 8, 2, 1, 10, 9, 11, 12 |
Workshops | 5 | 0.2 | 4, 5, 8, 2 |
Type: Supervised | |||
Portfolio | 20 | 0.8 | 3, 4, 6, 5, 7, 8, 2, 1, 10, 9, 11, 12 |
Type: Autonomous | |||
Study/Problem solving | 25 | 1 | 4, 7, 8, 9, 11, 12 |
The grading will be carried out through the delivery of four portfolios and the lecturing of one of the four cases to be treated.
Portfolio (70%). In each portfolio the basic fundamentals of the analyzed data will be exposed, the tools used, the development of the methodology, as well as a discussion on the final result of the delivery. Each portfolio will have the same weight in the final evaluation.
Exhibition (20%). Each group will make a 10-minute oral presentation.
Assistance and participation (10%).
The subject is passed when the average score of the assessment activities is equal to or greater than 5. The continuous and transversal nature of this evaluation means that the subject can not be evaluated if the minimum participation of the students is less than 80% of the students. proposed sessions.
*Student’s assessment may experience some modifications depending on the restrictions to face-to-face activities enforced by health authorities.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Lecture | 20% | 1 | 0.04 | 3, 6, 5, 8, 2, 9 |
Portfolio | 70% | 0 | 0 | 3, 4, 6, 5, 7, 8, 2, 1, 10, 9, 11, 12 |
Soft skills | 10% | 0 | 0 | 3, 4, 6, 5, 8, 2, 1, 10 |
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