Programming for Biologists Training Course

This workshop offers a practical introduction to the basics of bioinformatics. It targets individuals with a fundamental background in biology and molecular biology who seek to learn how to process and analyze biological data using computational tools. It is specifically designed for:

• Researchers in experimental laboratories working on biological macromolecules: proteins, RNA, and DNA.
• Scientists whose primary expertise is not biology but who need to work with biological data.
• Managers introducing new products (e.g., drugs) who wish to broaden their knowledge of contemporary bioinformatics.
• Computer programmers who will write programs dealing with biological molecules.

The course is divided into theoretical and practical sections. Lectures are interwoven with simple practical exercises, quizzes, and concept checks to ensure comprehension. During the training, 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 Mexico (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 standards for clinical research involving human subjects. It establishes the international benchmark for the design, conduct, monitoring, documentation, analysis, and reporting of clinical trials.

Through this instructor-led live training, participants will master the essential guidelines and fundamental principles that underpin Good Clinical Practice (GCP) in clinical trials and research involving human subjects. While the course offers a broad overview of various GCP domains, it places particular emphasis on the ICH-centric GCP standards applicable to Investigational Drugs and Biologics.

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

• Comprehend the core principles of GCP for investigational drugs and biologics, as defined by the International Conference on Harmonization (ICH).
• Effectively apply GCP guidelines to their clinical research and trials.

Audience

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

Course Format

• A blend 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 researchers and bioinformaticians seeking to gain hands-on experience analyzing microbial genomics and metagenomic sequencing data.

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

• Describe common sequencing workflows and the key file formats used in microbial genomics.
• Perform 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.
• Utilize 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 focused on clinical, environmental, or industrial metagenomics, please contact us to arrange.

This instructor-led live training in Mexico (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 provide researchers with a solid grasp of the 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 includes approximately 30% lectures and 70% guided quizzes and laboratory exercises.

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

Public courses utilize a mix of examples from different fields.

While various software tools are used throughout the course (ranging from Microsoft Excel to SPSS, Statgraphics, and others), the primary emphasis remains on comprehending the principles and processes that guide research, reasoning, and conclusion-making.

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