Good Clinical Practice (GCP) Training Course

This practical workshop introduces the fundamentals of bioinformatics. It targets individuals with a basic background in biology and molecular biology who want to learn how to process and analyze biological data using computational tools. It has been specifically designed for:

• Researchers in experimental laboratories focusing on biological macromolecules: proteins, RNA, and DNA.
• Scientists whose primary expertise is not biology but who need to handle biological data.
• Managers introducing new products (e.g., drugs) who wish to broaden their knowledge of contemporary bioinformatics.
• Computer programmers intending to develop software for biological molecules.

The course is split into theoretical and practical components. Lectures are interwoven with practical exercises, quizzes, and concept checks to ensure understanding. Participants will follow a guided tour covering all foundational aspects of biological data analysis. This workshop serves as an ideal entry point into bioinformatics, equipping learners to tackle basic bioinformatics problems: identifying authoritative data sources, extracting relevant information, understanding core algorithms, and confidently using bioinformatics tools.

By the end of the course, participants will be able to work with biological data using bioinformatics tools.

This instructor-led, live training in France (available online or in-person) is designed for healthcare professionals and personnel who wish to acquire intermediate to advanced knowledge of various genetic sequencing and analytical procedures. 

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

• Learn and grasp the fundamental concepts of genetics. 
• Comprehend the mechanisms behind genetic sequencing and analysis operations. 

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 perform hands-on analysis of microbial genomics and metagenomic sequencing data.

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

• Describe common sequencing workflows and key file formats utilized in microbial genomics.
• Execute quality control and preprocessing of raw NGS reads.
• Conduct taxonomic profiling using marker-based and k-mer approaches.
• Assemble and annotate microbial genomes and plasmids.
• Detect SNPs, construct phylogenies, and interpret population structure.
• Predict antimicrobial resistance genes and summarize functional profiles.
• Implement reproducible workflows using Conda, Docker, and notebook-based reports.

Course Format

• Lectures introducing concepts and tools (20%).
• Hands-on practical sessions using example datasets (60%).
• Open discussions and guided analysis to enable 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 France (online or onsite) is designed for scientists and anyone interested in learning the basics of Nanoscience and its applications.

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

• Grasp the concepts and scope of nanosciences and nanotechnologies.
• Distinguish between objects in the nano range and those in the micro range.
• Understand the fundamental theories underlying electron and energy transfer.

This practical course illustrates why programming is a powerful tool for solving biological problems. Participants will learn the Python programming language, widely recognized for both its power and ease of use. The course demonstrates how bioinformatics can enhance the daily 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 seeking to automate routine tasks and analyze data.
• Managers aiming to understand how programming can improve workflows and project execution.

By the end of the course, participants will be able to write short programs to manipulate, analyze, and manage biological data, as well as present results in graphical formats.

This course is designed to equip researchers with a solid grasp of the core principles underlying statistical design and analysis, highlighting their critical application across diverse scientific fields.

The curriculum explores key probability and statistical methods, primarily illustrated through practical examples. The training structure consists of approximately 30% lecture-based instruction and 70% hands-on guided quizzes and laboratory exercises.

For closed-group sessions, we can customize the examples and materials to align with specific domains, such as psychology assessments, public sector analytics, biology, genetics, and more.

Public course participants will engage with a diverse mix of examples reflecting various disciplines.

While the course utilizes various software tools ranging from Microsoft Excel to SPSS and Statgraphics, the primary emphasis remains on comprehending the underlying principles and logical processes that guide research, reasoning, and conclusion-drawing.

This program can also be offered as a blended learning experience, incorporating homework and assignments to reinforce learning.