The Digitization and Automation of information are two aspects of vital importance to keep data of Medical Processes in an organized way. With this program, you will be able to update yourself in this area and strengthen your skills”

Bioinformatics Computing has become a field of great importance in the area of medicine, since it allows to execute processes of Digitalization and Automation of data related to this field. Likewise, these two elements have made it possible to achieve greater effectiveness when making a diagnosis and determining the most appropriate treatment for each disease, thanks to the classification of information that these aspects make it possible to obtain. On the other hand, they have also contributed to the reduction of costs and time in medical processes, an advantage that favors both users and health professionals.

In this context, the Postgraduate certificate in Bioinformatics Computing: Medical Process Digitization and Automation, is proposed as an opportunity for students to acquire updated knowledge in this field. This, because it is focused on providing the necessary tools for database management in Bioinformatics, the use of networks for this purpose, the visualization of information and collaboration in online computing projects.

All this from the Relearning methodology, which will allow students to learn 100% online, a benefit in which education can be seen from home and have access 24 hours a day to multimedia resources that they will find in the virtual campus. In addition, they will acquire an updated knowledge of this field, due to the fact that they will study with the teachings of the best experts in Bioinformatics Computing.

Reaching your goals in a short period of time is one of the many benefits of studying this program. Don't wait any longer and enroll now"

This Postgraduate certificate in Bioinformatics Computing: Medical Process Digitization and Automation contains the most complete and up-to-date scientific program on the market. The most important features include:

• The development of practical cases presented by experts in Bioinformatics: Medical Process Digitalization and Automation
• The graphic, schematic and eminently practical contents with which it is conceived gather scientific and practical information on those disciplines that are indispensable for professional practice
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

In a totally online way, learn how to build and manage large databases that facilitate the search for medical information”

The program’s teaching staff includes professionals from the field who contribute their work experience to this educational program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the course. For this purpose, students will be assisted by an innovative interactive video system created by renowned and experienced experts.

Learn the most effective technique to perform data mining and involve this process to acquire better results during the Automation of Medical Processes"

From the comfort of your home and without the need to submit to rigid schedules, you will become the best expert in Computing applied to medicine"

The contents that are part of the syllabus of this Postgraduate certificate have been elaborated by the best experts in this area. In this way, students will acquire specialized knowledge in the use of computers focused on the digitalization and automation of purely medical activities. Learn about data management and its organization through computer bases, which will allow them to have better control over the Medical Processes, thanks to this program”

Learn about data management and its organization with computer bases, which will allow you to have a better control over the Medical Processes, thanks to this program”

Module 1. Computing in Bioinformatics

1.1. Central Tenet in Bioinformatics and Computing Current State

1.1.1. The Ideal Application in Bioinformatics
1.1.2. Parallel Developments in Molecular Biology and Computing
1.1.3. Dogma in Biology and Information Theory
1.1.4. Information Flows

1.2. Databases for Bioinformatics Computing

1.2.1. Database
1.2.2. Data Management
1.2.3. Data Life Cycle in Bioinformatics

1.2.3.1. Use
1.2.3.2. Modifications
1.2.3.3. Archive
1.2.3.4. Reuse
1.2.3.5. Discarded

1.2.4. Database Technology in Bioinformatics

1.2.4.1. Architecture
1.2.4.2. Database Management

1.2.5. Interfaces for Bioinformatics Databases

1.3. Networks for Bioinformatics Computing

1.3.1. Communication Models LAN, WAN, MAN and PAN Networks
1.3.2. Protocols and Data Transmission
1.3.3. Network Topologies
1.3.4. Datacenter Hardware for Computing
1.3.5. Security, Management and Implementation

1.4. Search Engines in Bioinformatics

1.4.1. Search Engines in Bioinformatics
1.4.2. Search Engine Processes and Technologies in Bioinformatics
1.4.3. Computational Models: Search and Approximation Algorithms

1.5. Data Display in Bioinformatics

1.5.1. Displaying Biological Sequences
1.5.2. Displaying Biological Structures

1.5.2.1. Visualization Tools
1.5.2.2. Rendering Tools

1.5.3. User Interface in Bioinformatics Applications
1.5.4. Information Architectures for Displays in Bioinformatics

1.6. Statistics for Computing

1.6.1. Statistical Concepts for Computing in Bioinformatics
1.6.2. Use Case: MARN Microarrays
1.6.3. Imperfect Data Statistical Errors: Randomness, Approximation, Noise and Assumptions
1.6.4. Error Quantification: Precision and Sensitivity
1.6.5. Clustering and Classification

1.7. Data Mining

1.7.1. Mining and Data Computing Methods
1.7.2. Infrastructure for Data Mining and Computing
1.7.3. Pattern Discovery and Recognition
1.7.4. Machine Learning and New Tools

1.8. Genetic Pattern Matching

1.8.1. Genetic Pattern Matching
1.8.2. Computational Methods for Sequence Alignments
1.8.3. Pattern Matching Tools

1.9. Modeling and Simulation

1.9.1. Use in the Pharmaceutical Field: Drug Discovery
1.9.2. Protein Structure and Systems Biology
1.9.3. Available Tools and Future

1.10. Collaboration and Online Computing Projects

1.10.1. Grid Computing
1.10.2. Standards and Rules Uniformity, Consistency and Interoperability
1.10.3. Collaborative Computing Projects

The teaching materials of this program, elaborated by these specialists, have contents that are completely applicable to your professional experiences"