Programming for Biologists Training Course

This hands-on workshop provides an introduction to the core principles of bioinformatics. It is tailored for individuals with a foundational background in biology and molecular biology who wish to learn how to process and analyze biological data using computational tools. The course is specifically designed for:

• Researchers conducting experimental work with biological macromolecules such as proteins, RNA, and DNA.
• Professionals whose primary expertise lies outside biology but who frequently encounter biological data.
• Managers launching new products (such as pharmaceuticals) who seek to expand their understanding of contemporary bioinformatics.
• Software developers planning to create programs that handle biological molecules.

The course consists of two components: theoretical lectures and practical sessions. Theoretical concepts are integrated with straightforward practical exercises, quizzes, and assessments to ensure participants grasp the material.

During the training, you will embark on a guided journey covering all essential aspects of biological data analysis. This workshop offers an excellent opportunity to become acquainted with the diverse applications of bioinformatics. By the conclusion, you will be equipped to address fundamental bioinformatics challenges: you will know where to source necessary data, how to extract relevant information, and how basic software and algorithms function. Our primary goal is to enhance your comprehension of biological data.

Upon completing the course, you will be capable of utilizing bioinformatics tools to work with biological data.

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 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.