Basics of Bioinformatics Training Course

This instructor-led, live training in Brazil (online or onsite) is aimed at biologists who wish to use Biopython.

By the end of this training, participants will be able to:

• Integrate biological concepts with information technologies to solve research problems.
• Mine information from large datasets of biological origin.
• Create algorithms for essential research tasks.

This instructor-led, live training in Brazil (online or onsite) is aimed at healthcare professionals and workers who wish to learn intermediate to advanced-level knowledge of the different genetic sequencing and testing operations.

By the end of this training, participants will be able to:

• Learn and understand key concepts of genetics.
• Understand how genetic sequencing and testing operations work.

Good Clinical Practice (GCP) constitutes a framework of guidelines for clinical research involving human participants. GCP establishes the international standard for the design, execution, monitoring, documentation, analysis, and reporting of clinical trials.

In this instructor-led live training, participants will master the key guidelines and fundamental principles applied in Good Clinical Practice (GCP) for clinical trials and research involving human subjects. While this course offers an overview of various GCP domains, it places particular emphasis on ICH-centric GCP for Investigational Drugs and Biologics.

Upon completion of this training, participants will be able to:

• Comprehend the fundamental principles of GCP for investigational drugs and biologics as defined by the International Conference on Harmonization (ICH)
• Apply GCP guidelines to their clinical research and trial activities

Target Audience

• Clinical investigators
• Clinical research professionals
• Healthcare and medical professionals
• Clinical trials support staff
• Research and development personnel

Course Format

• Combination of lectures, discussions, exercises, and extensive hands-on practice

Microbial genomics and metagenomics integrate sequencing technologies with computational analysis to profile microbial communities, characterize genomes, and identify functional traits such as antimicrobial resistance.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate-level researchers and bioinformaticians seeking to gain hands-on experience in analyzing microbial genomics and metagenomic sequencing data.

Upon completion of this training, participants will be capable of:

• Describing common sequencing workflows and key file formats used in microbial genomics.
• Conducting quality control and preprocessing of raw NGS reads.
• Performing taxonomic profiling using marker-based and k-mer approaches.
• Assembling and annotating microbial genomes and plasmids.
• Detecting SNPs, building phylogenies, and interpreting population structure.
• Predicting antimicrobial resistance genes and summarizing functional profiles.
• Utilizing reproducible workflows with Conda, Docker, and notebook-based reports.

Format of the Course

• Lectures introducing concepts and tools (20%).
• Hands-on practical sessions using example datasets (60%).
• Open discussions and guided analysis to allow participants to apply methods to their own data (20%).

Course Customization Options

• To request a customized workshop focusing on clinical, environmental, or industrial metagenomics, please contact us to arrange.

This instructor-led live training in Brazil (online or onsite) is aimed at scientists and anyone interested to learn about the basics of Nanoscience and its applications.

By the end of this training, participants will be able to:

• Understand the field of nanosciences and nanotechnologies.
• Differentiate those in the nano range from those in the micro range.
• Know the fundamental theory of electron and energy transfer.

This instructor-led, live training in Brazil (online or onsite) is designed for advanced-level forensic scientists, geneticists, and anthropologists who wish to apply NGS techniques to forensic investigations.

Upon completing this training, participants will be capable of:

• Grasping the principles of NGS and its forensic applications.
• Analyzing forensic DNA samples using NGS techniques.
• Interpreting NGS data for human identification and ancestry determination.
• Utilizing NGS in degraded and complex DNA samples.
• Applying bioinformatics tools for forensic genomic analysis.
• Understanding legal and ethical considerations in forensic genomics.

This practical course illustrates why programming is a powerful tool for addressing biological challenges. Participants will learn the Python programming language, renowned for its power and ease of use. The course serves as a demonstration of how bioinformatics can enhance the lives of biologists.

Designed for individuals without a computer science background who wish to learn programming.

This course is ideal for:

• Researchers working with biological data.
• Scientists looking to automate routine tasks and analyze data.
• Managers seeking to understand how programming can improve workflows and project management.

By the end of the course, participants will be able to write short programs to manipulate, analyze, and handle biological data, presenting results in a graphical format.

This course is designed to help researchers grasp the core principles of statistical design and analysis, highlighting their importance across various scientific fields.

The curriculum explores probability and statistical methods, primarily through practical examples. The training structure consists of approximately 30% lectures and 70% guided quizzes and lab exercises.

For closed courses, we can customize the examples and materials to fit specific domains, such as psychology, the public sector, biology, genetics, and more.

Public courses utilize a mix of general examples.

While the course employs various software tools ranging from Microsoft Excel to SPSS and Statgraphics, the primary emphasis remains on understanding the underlying principles and processes that guide research, reasoning, and conclusions.

This course can also be offered in a blended format, incorporating homework and assignments.