Thanks to this Postgraduate certificate you will be able to delve into the technological applications in bioinformatics and the automation of medical processes in only 6 weeks”

Bioinformatics is a discipline that has gained great value in recent years. With the management of COVID cases, it has turned out to be the star tool in clinical registry processes, which has made it possible to gather, analyze, compare and interpret data worldwide. Computing has greatly improved the handling of biological data and has enabled progress in the digitization of healthcare. It is a multidisciplinary specialty that has provided information on the solution to pathologies in the clinical context. For this reason, specialists wishing to work in this field must master molecular biology, genetics, computer science and mathematics.

Given the great demand from healthcare companies for highly qualified professionals who know how to adapt to the new times, TECH has developed a course focused on the digitization of medical processes. The Postgraduate certificate in Bioinformatics Computing offered by TECH covers data management, the application of search engines in bioinformatics, the comparison of genetic patterns and data mining, among many other issues. All this, so that healthcare professionals of the future will have a high degree of knowledge in computing and new technologies applied to the clinical field.

This program is offered in a 100% online mode to make it easier for students. Thanks to its digital features, specialists will be able to access the materials wherever and whenever they want with an Internet connection and without having to travel. In addition, TECH has an experienced teaching team in ICTs and e-Health to impart all the theoretical knowledge to students and share their experience in the real field of action.  A unique opportunity for those specialists who believe in the advancement of the health service and bet on innovative academic processes. 

Become a multidisciplinary professional who masters clinical informatics and improves your skills in your daily work”   

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

• The development of case studies presented by experts in Computing in Bioinformatics
• 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

Have you not yet mastered the tools that automate clinical care? Get to know them easily and 100% online, thanks to TECH” 

The program’s teaching staff includes professionals from the sector 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.  

Collaborate in online computing projects, knowing the standards and rules of this discipline with a future perspective"

Enter a booming sector and delve into machine learning with the support of experts developing in bioinformatics"

The syllabus of this program has been developed by a teaching team specialized in bioinformatics, which has years of experience in the health sector. Thanks to their experience, TECH offers guaranteed contents that will instruct students in depth. Through this pathway, specialists will learn about the latest developments in the handling and management of biological data with information technologies and statistical models and will, in turn, delve into the techniques involved in computation and their applications in genetic studies. In addition, the program imparts the knowledge through videos, case studies and interactive summaries, among many exercises.  

Enroll now in a fully online program with a host of virtual tools that make this a Postgraduate certificate, a complete and comprehensive 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 Interoperab

A unique training experience, key and decisive to boost your professional development"