Genetic Sequencing and Testing 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 methods. The course is particularly suited for:

• Researchers in experimental laboratories studying biological macromolecules such as proteins, RNA, and DNA.
• Professionals whose primary expertise lies outside biology but who frequently encounter biological data.
• Managers involved in launching new products (e.g., pharmaceuticals) who seek to deepen their understanding of contemporary bioinformatics.
• Computer programmers preparing to develop software that handles biological molecules.

The curriculum is divided into theoretical and practical segments. Lectures are integrated with straightforward practical exercises, quizzes, and tests to ensure participants grasp the key concepts.

Throughout the training, you will embark on a guided journey covering all essential aspects of biological data analysis. This workshop serves as 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 the necessary data, how to extract relevant insights, and how basic software and algorithms function. Our goal is to streamline your comprehension of biological data.

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

Good Clinical Practice (GCP) comprises a set of guidelines governing clinical research involving human subjects. It establishes the international standard for designing, conducting, monitoring, documenting, analyzing, and reporting clinical trials.

Through this instructor-led live training, participants will master the key guidelines and fundamental principles underpinning Good Clinical Practice (GCP) for clinical trials and research involving human subjects. While the course offers a broad overview of various GCP domains, it places particular emphasis on ICH-centric GCP standards for investigational drugs and biologics.

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

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

Audience

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

Format of the course

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

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

• Describe standard sequencing workflows and the key file formats used in microbial genomics.
• Conduct quality control and preprocessing of raw NGS reads.
• Perform 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 reporting.

Course Format

• Lectures covering 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

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

This live, instructor-led training in Italy (available online or onsite) targets scientists and individuals eager to learn the fundamentals of Nanoscience and its applications.

By the conclusion 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 is a hands-on course demonstrating why programming is an essential tool for addressing biological challenges. Participants will learn the Python programming language, widely regarded for its power and ease of use. This course serves as a demonstration of how bioinformatics can enhance the daily lives of biologists.

The course is tailored for individuals without a computer science background who wish to learn programming.

This course is ideal for:

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

Upon completion, participants will be able to write short programs that allow them to manipulate, analyze, and manage biological data, as well as present results in graphical formats.

This course is designed to provide researchers with a solid grasp of the principles underlying statistical design and analysis, highlighting their significance across various scientific fields.

The curriculum explores essential probability and statistical methods, primarily illustrated through practical examples. The training structure comprises approximately 30% lectures and 70% guided quizzes and laboratory exercises.

For closed corporate or institutional courses, we can customize the examples and materials to suit specific domains such as psychology, the public sector, biology, genetics, and others.

Public courses utilize a diverse range of mixed examples to cater to a broader audience.

While the course incorporates various software tools (ranging from Microsoft Excel to SPSS, Statgraphics, and more), the primary emphasis remains on comprehending the principles and processes that guide research methodology, critical reasoning, and drawing conclusions.

Additionally, this course can be offered as a blended learning program, incorporating homework and assignments to reinforce learning.