Course MF1537-3 Bioinformatics

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Course MF1537-3 Bioinformatics

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$376.00
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Duration

100 hours

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Credits

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Language

Spanish

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At the end of the course, you will obtain the accredited qualification

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CERTIFICATION of having passed the NON-FORMAL TRAINING that accredits the Units of Competence included in the Training Module MF1537 Bioinformatics regulated in Royal Decree 623/2013, of August 2, which establishes the corresponding Certificate of Professionalism. In accordance with the Instruction of March 22, 2022, which determines the admission criteria for the training provided by persons requesting participation in the evaluation and accreditation procedure of professional skills acquired through work experience or non-formal training routes. EUROINNOVA TRAINING S.L. It is a participating entity in the file of entities of the Sepe, Ministry of Labor and Social Economy.

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miguel angel aparicio jimenez

Graduated in Biology, with a Master's Degree in Biotechnology in the industrial branch and a Doctor in Biology from the University of Córdoba. He has extensive research experience in different areas of biosciences, including ecology, genetics, biochemistry, microbiology and plant physiology. His career has focused on the analysis and study of biological processes from an experimental and applied perspective, especially in the agri-food and biotechnology field.

Professional experience:

Researcher in the field of biosciences: Research in ecology; Research in genetics; Research in biochemistry; Research in microbiology; Research in plant physiology.

Professional skills:

Research in industrial biotechnology; applied ecology; Experimental genetics; Microbiology and biochemistry; Plant physiology.

Graduated in Biology, with a Master's Degree in Biotechnology in the industrial branch and a Doctor in Biology from the University of Córdoba. He has extensive research experience in different areas of biosciences, including ecology, genetics, biochemistry, microbiology and plant physiology. His career has focused on the analysis and study of biological processes from an experimental and applied perspective, especially in the agri-food and biotechnology field.

Professional experience:

Researcher in the field of biosciences: Research in ecology; Research in genetics; Research in biochemistry; Research in microbiology; Research in plant physiology.

Professional skills:

Research in industrial biotechnology; applied ecology; Experimental genetics; Microbiology and biochemistry; Plant physiology.

Course MF1537-3 Bioinformatics

Información adicional del PROFESSIONAL CERTIFICATES

Course MF1537-3 Bioinformatics

6 months de tutorización

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Course information

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Course information

Description

In the field of Chemistry it is necessary to know the different fields of biotechnological analysis, within the professional area of ​​the Chemical Process. Thus, this course aims to provide the necessary knowledge related to bioinformatics.

Job opportunities

Professionals in the field of Chemistry, who carry out their activity both as employees and as self-employed, in public or private companies, dedicated to carrying out chemical process activities and biotechnological analysis.

What does it prepare you for?

This training conforms to the training itinerary of the Training Module MF1537_3 Bioinformatics, certifying having passed the different Units of Competence included in it, and is aimed at the accreditation of the Professional Competencies acquired through work experience and non-formal training, through which you will be eligible to obtain the corresponding Certificate of Professionalism, through their respective calls published by the different Autonomous Communities, as well as the Ministry of Labor itself. (Royal Decree 659/2023, of July 18, which develops the organization of the Vocational Training System and establishes a permanent procedure for the accreditation of professional skills acquired through work experience or non-formal training).

Who is it addressed to?

This course is aimed at professionals in the world of Chemistry, within the professional area of ​​the chemical process, and at all those interested in acquiring knowledge related to bioinformatics.

Objectives

- Handle computer programs necessary for processing information of interest in biotechnology. - List and describe the fundamental logical systems for searching data in molecular biology and navigation tools. - Distinguish and perform the necessary actions to recognize and modify annotations in specific languages. - Explain the main components of a computer, its peripherals and software based on their function and usefulness in biotechnology. - List and describe the fundamental logical systems for searching data in molecular biology and navigation tools. - Distinguish and perform the necessary actions to recognize and modify annotations in specific languages. - Relate operations with different databases, identifying their interoperability and comparing records. - Determine the appropriate values ​​when carrying out the search, integrating the appropriate support tools and graphic representation programs, and performing it efficiently. - Build elementary annotations for reading protein and nucleic acid sequences. - Relate operations with different databases, identifying their interoperability and comparing records. - Prepare the file structure and file systems according to previously established requirements. - Document the parameters used, the results obtained and, where appropriate, the system adaptations. - Identify the different types of memory that make up the computer. - Define the concept of microchip. - Identify the characteristics of the cache memory and the different types of memory that exist. - List the main characteristics of hard drives. - Relate the different portable devices with the actions related to the storage of information. - Describe tools for genome analysis. - Perform genome comparisons to identify and store observed differences. - Describe and identify the different computational methods most commonly used in bioinformatics. - Describe and use optimization processes and genetic algorithms to facilitate identification tasks. - Describe and document different phylogenetic reconstruction methods. - Describe the methods of analyzing big data in functional genomics and proteomics. - Identify the procedures for comparing protein structures. - Describe and use the most commonly used methods for predicting the linear structure of proteins. - Represent the methods of fitting between proteins, and between small molecules and proteins.

Course MF1537-3 Bioinformatics

$376.00