Event price: $ 1,500,000 COP

Online payment: Remember that the opening of the event must have a point of
balance, from the Graduate School they will be informed to
the completion of the payment, at the time of your registration you can pay online with credit card and PSE.

Payment in banks:
Present the invoice printed in laser, and approach the following banking entities:

  • Bancolombia
  • Itaú
  • Banco de Bogotá and its banking correspondents: Almacenes Éxito, Carulla, Surtimax, Súper inter.

Face-to-face payment:
Go to the University Cashier and pay with a debit or credit card.

Start date: 07-10-2020

End date: 12-18-2020

Duration: 90 hours.

Event city: Medellin

Hours: Friday from 5:00 pm to 9:00 pm Place: Technology-assisted presence - CES University

Learn about our discounts for our university community, or if you are an employee or associate of institutions with current agreements with the CES University Learn more

Event Code: 70090076

To register, you must fill out the form to generate the invoice and make the payment online, banks or in person at the University.

Faculty: Graduate School

Tatiana Andrea Guisao Zapata
Graduate School Assistant
escueladegraduados@ces.edu.co
Welfare Building - 6th Floor
(57) (4) 4440555 Ext 1745

you have doubts? Write to us

Description

Know the importance of the topics to be addressed during the development of the Diploma

Addressed to

We share the characteristics or requirements that you must meet to be part of this Diploma

Modality

The modality of the event is Virtual Classroom

The great advances in the field of genomics, transcriptomics and proteomics have generated the need to store, organize and interpret large amounts of biological information. Currently being necessary a new field of science in which several disciplines merge for the application of computational technologies to the management and analysis of biological data, resulting in Computational Biology.

Currently, computational biology has become a necessary tool for conducting research in multiple fields of science such as biology, genetics, genomics, evolution, biochemistry, and molecular biology. Providing the possibility of analyzing a large amount of biological information in a fast, reliable and accurate way. Furthermore, computational biology has enabled the large-scale study of multiple genomes, the analysis of gene expression between different transcriptomes, and finally elucidating the structure, function, and interaction of countless proteins. Therefore, it is important that professionals in the area of health and related areas acquire basic foundations on computational biology, which will allow them to develop new research in this new field of science.

The purpose of the diploma in computational biology fundamentals is to provide professionals in the health area and related areas with the basic concepts in the management, manipulation and interpretation of bioinformatics tools applied to the study of DNA, RNA and Protein sequences.

Professionals in the area of health and related, with basic knowledge in molecular biology.

Technology-Assisted Presence (Zoom Application)

Financing

Find out how you can finance your registration in this event.

Study plan

Find the contents to be dealt with in the Continuing Education Course

Objective

Learn about the skills that you will acquire by taking the Diploma at our University.

Finance the payment of your registration with SUFI, contact the advisor:

Anderson Esneider Acevedo
Telephone: (57) (4) 604 91 25
Mobile: 3012549844
Email: anaceved@bancolombia.com.co

Payment with Severance:
Check with your fund and severance management company about the requirements to make the payment *.
* Applies for diplomas and certifications.

  • Introduction to Computational Biology and Bioinformatics
  • Structure of DNA, RNA and Proteins
  • DNA, RNA and Protein Database
  • BLAST algorithm
  • Nucleic acid and protein sequence alignment
  • Primer design
  • Restriction enzymes
  • Mutation analysis, bioinformatic prediction of the effect of mutations and pedigree analysis.
  • Electropherogram analysis
  • Phylogenetic analysis
  • MLST analysis (multi-locus sequence typing)
  • Haplotype networks
  • NGS data quality analysis
  • Sequence mapping and assembly
  • Genome visualization
  • Genome annotation
  • Genome comparison
  • Detection of orthologous proteins
  • Protein functional analysis
  • Protein structural modeling and protein alignment
  • Chemical properties of proteins (amino acids, isoelectric point, molecular weight, signal peptide, cell location, protein patterns and motifs).
  • Identification of peptides by mass spectrometry and computational biology tools.
  • Protein interaction networks
  • Gene Quantification: Real Time PCR Data Analysis
  • Design of bioinformatic experiments for gene cloning: enzymatic cloning and Gibson cloning.
  • Design of bioinformatic experiments of site directed mutagenesis
  • Detection of islands of pathogenicity
  • Virulence factor detection
  • Detection of genes associated with antibiotic resistance
  • Genomic detection of bacteriophages and toxins
  • Bioinformatics tools for epigenetic data analysis

Overall objective:

Train professionals in the health area and related areas in the management, manipulation and interpretation of bioinformatics tools applied to the study of DNA, RNA and Protein sequences.

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