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INFORMATION, PRE-REGISTRATION AND REGISTRATION
- Continuing Education
- Phone: 91 665 5060
- Contact Academic Address: Natalia González Benitez
- URJC Coordination/Deputy Directorate: Manuel Arrayás Chazeta
Student attention: Student Help Box Suggestions, complaints and congratulations mailbox
Basic Information
Presentation
The Expert Certificate in Genomic and Metagenomic Data Analysis (14 ECTS credits) aims to train analysts specializing in the processing, storage, and interpretation of genomic and metagenomic data, an emerging discipline with high demand in research, clinical microbiology, and personalized medicine. The course is offered online, with theoretical and practical classes, using advanced bioinformatics tools and massive parallel sequencing techniques.
Objectives
- O1. Provide information on the main applications of metagenomics and targeted metagenomics.
- O2. Provide the tools and skills necessary for big data analysis.
- O3. Provide tools for managing the requirements and needs for storing and managing genomic data.
- O4. Transmit knowledge of the different phases of massive sequencing data analysis.
- O5. Provide concepts and tools for bioinformatics analysis for the analysis of metagenomic data.
Programme
|
Modules/Subject/Module and academic manager |
ECTS |
Subjects / Modules |
|
|
Expert in Genomic and Metagenomic Data Analysis |
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Module 1: Module 1: Use and applications of massive sequencing |
3,5 |
Topic 1: Introduction to sequencing |
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Responsible: Emma Barahona |
Topic 2: Massive sequencing technologies |
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DescriptionThe student acquires a solid and up-to-date foundation on the fundamentals and applications of next-generation sequencing (NGS), enabling him to acquire essential skills to understand and analyze genomic and metagenomic data. |
Topic 3: Applications of metagenomics |
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*8 optional hours: in-person format (lab practices) or virtual format (computer practices). |
Topic 4: microbiome |
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Topic 5: Library preparation: metagenomics and targeted metagenomics |
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Module 2: Programming and computer systems applied to bioinformatics |
3 |
Topic 1: Operating systems. |
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Responsible: Manuel Arrayas |
Topic 2: Python Programming |
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Description: The student acquires the fundamental technical and computational skills to work in the professional field of bioinformatics. Through learning essential operating systems and programming languages, this module provides the necessary foundation for the analysis of genomic and metagenomic data, as well as for the automation of tasks and the efficient management of large volumes of information. |
Topic 3:R programming |
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Module 3Introduction to the processing and analysis of genomic and metagenomic data |
2 |
Topic 1: Concepts and tools for quality control and preprocessing. |
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Responsible: Natalia González Benitez |
Topic 2: Concepts and tools for identification and mapping |
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Description: The student acquires the practical and conceptual foundations necessary to understand how data produced by massive sequencing technologies are processed and analyzed, both in genomic and metagenomic studies. |
Topic 3: Concepts and tools for assembly and annotation |
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4 Module: Targeted genomics and metagenomics applications |
5,5 |
Topic 1: Genomic and metagenomic data applications (Viruses) |
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Responsible: Sergio Álvarez Pérez |
Topic 2: Genomic and metagenomic data applications (Prokaryotes) |
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Description: The student acquires an applied and comparative view of the use of genomic and metagenomic data in different types of organisms, allowing them to understand how bioinformatics methodologies are adapted according to the biological group analyzed. |
Topic 3Applications of genomic and metagenomic data. Eukaryotes I (Fungi) |
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Topic 4: Genomics and metagenomics of eukaryotes II: plants |
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Topic 5Genomics and metagenomics of eukaryotes III: animals |
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Recipients
Access requirements:
- This training is aimed at students with MECU level 6 in biology, computer science, or related fields. Through conditional enrollment, students who do not have MECU level 6 may enroll in the course, but the Expert certification will be issued once they reach this level within the same academic year.
- Exceptionally, those with MECU level 5 who prove work experience in this field may also be able to access these professional studies.
Selection criteria:
- Average grade for the entrance qualification: 50 points
- Suitability of the degree for access to the course: 20 points
- Cover letter: 10 points
- Related work experience: 10 points
- Related courses: 10 points
No. of Places: 20 students
Nota: All students must have a personal laptop to carry out the internship.
Academic Management and Faculty
Management Team (Indicate the entity to which the members belong):
- Address:
Natalia González Benítez. King Juan Carlos University (URJC)
- Academic secretary:
Manuel Arrayás Chazeta. URJC
- Coordination/Deputy Directorate:
Emma Barahona Martín. URJC
Faculty (table of memory)
|
Full name |
Academic Category |
Doctor (IF NOT) |
six-year terms |
Quinquenniums |
Teaching sections |
Knowledge area and Department |
Subject taught |
Professional profile related to the degree |
Number of Hours in Title |
|
Assistant Professor (PhD) |
Yes |
2 |
2 |
Area: Microbiology Department: Biology |
1 Module: Use and applications of massive sequencing |
University Teaching: 10 years. Subjects: Food Microbiology, Biology, Bioreactors, Molecular Diagnostics, Animal Pathology, Biotechnology. |
10 |
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University professor |
Yes |
4 + 1 |
4 |
5 |
Area: Microbiology Department: Biology |
1 Module: Use and applications of massive sequencing |
Applied Microbiology and Interpretation of Genomic and Metagenomic Data |
5 |
|
|
PPL |
Yes |
Area: Botany. Department: Biology |
1 Module: Uses and applications of massive sequencing. 4 Module: Targeted genomics and metagenomics applications |
Biology. Experience in phylogeny, SNP analysis, and genome assembly |
17 |
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PPL |
Yes |
2 |
1 |
1 |
Area: Botany Department: Biology |
2 Module: Programming and computer systems applied to bioinformatics |
Research on genomic signals of adaptation |
6 |
|
|
PhD Researcher |
Yes |
Area: Ecology Department: Biology |
2 Module: Programming and computer systems applied to bioinformatics |
Statistical models and analyses applied to genomic and metagenomic data. |
4 |
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University Professor |
Yes |
4 |
4 |
4 |
Electromagnetism Area, MApplied Mathematics, Materials Science and Engineering, and Electronic Technology |
2 Module: Programming and computer systems applied to bioinformatics |
Programming in Linux environments and in the development of Python scripts for automation, data analysis and management of bioinformatics pipelines |
15 |
|
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University Holder |
Si |
4 |
1 |
1 |
Applied Mathematics. Applied Mathematics, Materials Science and Engineering, and Electronic Technology |
4 Module: Targeted genomics and metagenomics applications |
Programming in Linux environments, data analysis and management of bioinformatics pipelines |
8 |
|
|
Irene Villa Machío |
PPI |
SI |
Area: Botany. Department: Biology |
2 Module: Programming and computer systems applied to bioinformatics |
Bioinformatics. Experience in processing genomic data, phylogenomics, and population genomics |
10 |
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Doctor's assistant |
Yes |
0 |
0 |
0 |
Area: Microbiology Department: Biology |
4 Module: Targeted genomics and metagenomics applications |
Characterization of prokaryotic microorganisms using molecular techniques and bioinformatics analysis in the field of genomic and metagenomic data processing |
8 |
|
|
Doctor's assistant |
Yes |
Area: Zoology Department: Biology |
4 Module: Targeted genomics and metagenomics applications |
Characterization of eukaryotic organisms using molecular techniques and bioinformatics analysis in the field of genomic and metagenomic data processing |
4 |
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Doctor's assistant |
Yes |
1 |
Area: Zoology Department: Biology |
4 Module: Targeted genomics and metagenomics applications |
Characterization of eukaryotic organisms using molecular techniques and bioinformatics analysis in the field of genomic and metagenomic data processing |
4 |
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|
University Holder |
Yes |
2 |
2 |
3 |
Area: Botany Department: Biology |
4 Module: Targeted genomics and metagenomics applications |
Characterization of eukaryotic organisms focused on plants using molecular techniques and bioinformatics analysis in the field of genomic and metagenomic data processing |
8 |
|
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Total number of URJC faculty |
12 |
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% PhD faculty |
100% |
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% Total hours taught |
86% |
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Teaching staff not belonging to the URJC
|
Full name |
Academic category/Professional category and entity |
Doctor (IF NOT) |
Subject to teach |
Profile in relation to the title |
Nº HOURS in Title |
|
Director of IMDEA Food and Scientific Director of the GENYAL platform |
Yes |
Module 3: Introduction to the processing and analysis of genomic and metagenomic data |
Computational Biology |
8 |
|
|
IMDEA Researcher |
Yes |
Module 3: Introduction to the processing and analysis of genomic and metagenomic data |
Computational Biology |
6 |
|
|
Nicolás de Cárdenas Roig |
IMDEA Researcher |
No |
Module 3: Introduction to the processing and analysis of genomic and metagenomic data |
Computational Biology |
6 |
|
Total number of external teaching staff |
3 |
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% PhD faculty |
66% |
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% Total hours taught |
14% |
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Duration and development
Mode: Virtual
Number of credits: 14
Contact hours: 0
Opening hours: 5 days a week from 16:00 PM to 20:00 PM.
Start and end dateMay 4, 2026 to June 26, 2026
Nota: All students must have a personal laptop to carry out the internship.
*Students will have access to the teaching materials generated during the synchronous classes so they can complete asynchronously any assignments they were unable to attend, thus facilitating the course.
Reservation of place and enrollment
Pre-registration period: February 19 to April 30, 2026
Enrollment deadline: from March 16 to April 30, 2026
Title price: 300€
Possibility of scholarship (if applicable): NO
The start of the course is subject to the minimum number (15) of enrolled students.
Documentation to attach, forms and place of delivery
The applicant will present all the scanned documentation, in the formats allowed through the link https://www.urjc.es/estudiar-en-la-urjc/admision/276-formacion-continua#preinscripcion
The documentation that you will have to submit is the following:
Students with a degree obtained from a Spanish university or a Higher Education Institution belonging to another Member State of the European Higher Education Area that provides access to continuing education courses must submit the following documentation:
- National Identity Document or equivalent
- University Degree of the studies that give you access to the requested postgraduate degree. *
- Curriculum vitae
- Responsible declaration of veracity of the data provided in digital format
- Any other document required by the Academic Department of Continuing Education for acceptance.
Students with foreign qualifications must submit the following documentation:
- Passport or Residence Card
- Foreign Higher Education Degree (Graduate, Bachelor's Degree, Architect, Engineer, Doctor...) that gives access to continuing education studies. *
- Curriculum vitae
- Responsible declaration of veracity of the data provided in digital format
- Any other document required by the Academic Department of Continuing Education for acceptance
* A university degree (bachelor's or bachelor's degree) is required to access both Master's and Expert and Specialist courses. However, on some occasions the possibility is considered for people without a previous university degree but who can demonstrate professional experience related to the subject of the course to access it.
This possibility must be included in the corresponding academic report and will be subject in all cases to the decision of the Course Director. People who access through this route will only receive a Diploma or a Certificate of University Extension depending on the case.