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Expert in Genomic and Metagenomic Data Analysis

INFORMATION, PRE-REGISTRATION AND REGISTRATION
Continuing Education
Phone: 91 665 5060
Contact Academic Address: Natalia Gonzalez Benitez.   || Isabel Cuesta de la Plaza.

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Basic Information

Presentation

The Expert in Genomic and Metagenomic Data Analysis (21 ECTS credits) aims to train analysts specialized 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, utilizing advanced bioinformatics tools and massive 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. Transmit information about the files generated during the analysis of data from massive sequencing experiments.
  • O6. Provide concepts and tools on bioinformatics analysis for the analysis of metagenomic data based on amplification of gene regions.
  • O7. Provide concepts and tools for bioinformatics analysis for the analysis of metagenomic data.

Program

The title of expert in Analysis of Genomic and Metagenomic Data It has been configured into two microcredentials that can be taken independently. This curriculum describes microcredential I in Basic analysis of genomic data which is accessible to any student without any knowledge in bioinformatics, while the microcredential II in Metagenomic data analysis requires prior knowledge of Linux, programming and basic genomic analysis, or having completed Microcredential I.

The MCUI and MCUII will be certified by a Digital credential in Europass (valid and recognizable throughout the EU). Initially, a paper certificate will also be issued.

 

Modules/Subject/Module and academic manager

ECTS

Subjects / Modules

 

MCUI. Basic analysis of genomic data

     

1 Module: Use and applications of massive sequencing
Responsible:
Emma Barahona

*8 optional hours: in-person format (lab practices) or virtual format (computer practices).

3

Topic 1: Introduction to sequencing

 

Topic 2: Massive sequencing technologies

 

Topic 3: Applications of massive sequencing in metagenomics

 

Topic 4: Microbiome

 

Topic 5: Library preparation: metagenomics and targeted metagenomics

*8 optional hours: in-person format (lab practices) or virtual format (computer practices).

 

2 Module: Programming and computer systems applied to bioinformatics.

Responsible: Sara Monzon

6

Topic 1: Linux operating systems

 

Topic 2: Concepts in systems administration. Data management and software installation

 

Topic 3: Concepts in programming and software development.

 

Topic 4: Programming in Python I

 

Topic 5: Programming in Python II

 

Topic 6: Programming in R

 

3 Module: Genomic data analysis I.

Responsible: Sarai Varona Fernandez

4

Topic 1: Introduction to data analysis. Phases and file formats. Folder organization.

 

Topic 2: Concepts and tools for quality control and preprocessing

 

Topic 3: Concepts and tools for identification and mapping

 

Topic 4: Concepts and tools for assembly and annotation

 

MCUII. Metagenomic data analysis

     

4 Module: Genomic data analysis II.

Responsible: Isabel Cuesta de la Plaza

6

Topic 1: Introduction to metagenomic data analysis and targeted metagenomics

 

Topic 2: Analysis of targeted metagenomics experiments

 

Topic 3: Experimental analysis in metagenomics 

 

Topic 4: Phylogenomics in metagenomics experiments

 

Topic 5: Data standards and uploading to public repositories

 

Topic 6: Interpretation of analysis results. Statistical analysis applied to metagenomic data

 

5 Module: Seminars and practical cases. Responsible: Manuel Arrayas

2

Cycle of Seminars and Conferences

 
 

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: 30 points
  • Suitability of the degree for access to the course: 20 points
  • Motivation letter: 20 points
  • Related work experience: 20 points
  • Related courses: 10 points

No. of Places: 20

Note: All students must have a personal laptop to carry out the internship.

Academic Management and Faculty

Address:

  • Natalia González Benítez. King Juan Carlos University (URJC)
  • Isabel Cuesta de la Plaza. Carlos III Health Institute (ISCIII)

Academic secretary:

  • Manuel Arrayás Chazeta. URJC

Coordination/Deputy Directorate:

Faculty:

  • Emma Barahona Martín. URJC. Module: Use and applications of massive sequencing.
  • Natalia González Benítez. URJC. Module: Use and applications of massive sequencing.
  • Raquel Pino Bodas. URJC. Module: Use and applications of massive sequencing.
  • Carlos Lara Romero. URJC. Module: Analysis of genomic data II: metagenomics.
  • Jesus Lopez Angulo. URJC. Module: Analysis of genomic data II: metagenomics.
  • Manuel Arrayás Chazeta. URJC. Modules: Programming and computer systems; Seminars.
  • Michael Christian Karim Stich. URJC. Module: Seminars and practical cases.
  • Isabel Cuesta de la Plaza. ISCIII. Modules: Advanced analysis of genomic and metagenomic data; Seminars.
  • Sara Monzón Fernández. ISCIII. Modules: Programming and computer systems; Analysis of genomic data; Seminars.
  • Sarai Varona Fernández. ISCIII. Modules: Programming and computer systems; Analysis of genomic data.
  • Pablo Mata Aroco. ISCIII. Modules: Programming and computer systems; Analysis of genomic data.
  • Daniel Esteban Valle Miralles. ISCIII. Modules: Analysis of genomic and metagenomic data.
  • Emilia Isabel Arjona Bolaños. ISCIII. Module: Analysis of genomic data II: metagenomics.
  • Jaime Iranzo. CSIC-INTA. Module: Analysis of genomic data II: metagenomics.
  • Jaime Ozáez Martínez. ISCIII. Module: Seminars.
  • Juan Ledesma Moreno. ISCIII. Module: Seminars.
  • Maria Vazquez Perez. ISCIII. Module: Seminars.
  • Val Fernandez Lanza. Ramon y Cajal University Hospital. Module: Seminars.
  • Alejandro Couce Iglesias. UPM. Module: Seminars.

In addition to other teachers invited for their experience and training.

Duration and development

Transport Type:Virtual

Number of credits: 21

Contact hours: 0

Schedule: 4 days a week from 16:00 PM to 20:00 PM.

Start and end date: September 8, 2025 to December 18, 2025

8 in-person hours on September 15 and 16 (lab practices) with the option of a virtual format (computer practices)

Reservation of place and enrollment

Pre-registration period: May 1 to July 15, 2025

Enrollment deadline: July 15-30, 2025

Title price: € 2000

Microcredential I Price: 1265€

Microcredential II Price: 804€

Possibility of scholarship (if applicable): No

The start of the course is conditioned to the minimum number of students enrolled

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:

Students with foreign qualifications must submit the following documentation:

* 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.