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Educational guide | |||||||||||||||||||||||||||||||||||||||
IDENTIFYING DATA | 2024_25 | |||||||||||||||||||||||||||||||||||||||
Subject | GENOMICS | Code | 01745005 | |||||||||||||||||||||||||||||||||||||
Study programme |
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Descriptors | Credit. | Type | Year | Period | ||||||||||||||||||||||||||||||||||||
3 | Compulsory | First | Second |
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Language |
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Prerequisites | ||||||||||||||||||||||||||||||||||||||||
Department | PRODUCCION ANIMAL |
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Coordinador |
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bgutg@unileon.es mmarm@unileon.es jgutg@unileon.es cgpolp@unileon.es asuav@unileon.es |
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Lecturers |
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Web | http:// | |||||||||||||||||||||||||||||||||||||||
General description | ||||||||||||||||||||||||||||||||||||||||
Tribunales de Revisión |
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Competencies |
Type A | Code | Competences Specific |
A18950 | ||
A18951 | ||
A18954 | ||
A18955 | ||
Type B | Code | Competences Transversal |
B5753 | ||
B5754 | ||
B5755 | ||
B5757 | ||
B5758 | ||
B5761 | ||
B5762 | ||
B5764 | ||
B5765 | ||
B5766 | ||
B5767 | ||
B5768 | ||
Type C | Code | Competences Nuclear |
C1 | ||
C2 | ||
C3 | ||
C4 | ||
C5 |
Learning aims |
Competences | |||
A18954 |
B5753 B5757 B5764 B5765 B5766 B5767 |
C1 C2 C3 C4 |
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A18950 A18951 A18954 |
B5753 B5754 B5755 B5757 B5758 B5761 B5764 B5766 B5767 B5768 |
C2 C3 C4 |
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A18951 A18954 A18955 |
B5754 B5755 B5758 B5762 B5766 B5767 |
C1 C2 C4 C5 |
Contents |
Topic | Sub-topic |
I. INTRODUCTION | Lecture 1. Introduction to genomics. Genome organisation. Sequencing projects. Next generation sequencing. Databanks. Ensembl and other databases. Lecture 2. Genome management with Galaxy. De novo assembly. Mutation search. |
II: GENETIC MARKERS AND GENETIC MAPPING TECHNIQUES | Lecture 3. Genomic markers. High throughput genotyping platforms and main applications. Lecture 4. Basis of gene mapping. Linkage analysis. Genome-wide association analysis or GWAS. Lecture 5. Post-GWAS analyses. |
III. BIOINFORMATIC ANALYSIS WORKFLOW OF GENOME SEQUENCING DATA | Lecture 6. Advanced manipulation of DNA sequences obtained by massively parallel sequencing (NGS): Alignments, formats and sequence quality. Variant identification from NGS data. |
IV. FUNCIONAL GENOMICS | Lecture 7. Introduction to Epigenomics. |
Planning |
Methodologies :: Tests | |||||||||
Class hours | Hours outside the classroom | Total hours | |||||||
Practicals using information and communication technologies (ICTs) in computer rooms | 20 | 30 | 50 | ||||||
Personal tuition | 2 | 3 | 5 | ||||||
Lecture | 8 | 12 | 20 | ||||||
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies |
Description | |
Practicals using information and communication technologies (ICTs) in computer rooms | Experimental trials, problems or computer simulations. Students will perform or follow an experimental protocol following the good laboratory practices, the guide of good practices for handling experimental animals and/or genetically manipulated microorganisms. In these sessions, students and the lecturer will discuss the results obtained, analysing their importance and interest. |
Personal tuition | Specialised online face-to-face tutorials using educational support platforms. Student assistance in self-study activities. - Analysis of relevant scientific articles on current topics related to the course. - Preparation of written reports, oral presentations or seminars on experimental or bibliographical work. - Carrying out autonomous tasks online or in a computer classroom. |
Lecture | Lecture session Presentation or discussion of the contents of the course. |
Personalized attention |
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Assessment |
Description | Qualification | ||
Others | Attendance and active participation in all training activities (classroom and online). Use of bioinformatics tools related to the course and ability to interpret and discuss the results derived from their use. Carrying out, presentation and defence of work. |
100% | |
Other comments and second call | |||
Those tests not passed in the continuous assessment must be passed in the second ordinary exam. Final exam of the subject. The grading system will be in accordance with the stipulations of RD1125/2003. Maximum weighting 70%. |
Sources of information |
Access to Recommended Bibliography in the Catalog ULE |
Basic |
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Complementary | |
Recommendations |