Genetic Sequencing and Testing Training Course

This practical workshop provides an introduction to the core principles of bioinformatics. It is tailored for individuals with a foundational understanding of biology and molecular biology who wish to acquire the skills to process and analyze biological data using computational methods. The course is specifically designed for:

• Researchers in experimental labs focusing on biological macromolecules such as proteins, RNA, and DNA.
• Scientists whose primary expertise lies outside of biology but who require proficiency in handling biological data.
• Product managers launching new offerings (e.g., pharmaceuticals) who seek to expand their knowledge of contemporary bioinformatics.
• Computer programmers preparing to develop software applications related to biological molecules.

The course comprises two components: theoretical instruction and practical application. Lectures are integrated with straightforward practical exercises, quizzes, and assessments to ensure participants fully grasp the concepts.

Throughout 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 bioinformatics and its diverse applications. Upon completion, you will be equipped to address fundamental bioinformatics challenges: you will know how to source necessary data, extract relevant insights, and understand the functionality of basic software and algorithms. Our goal is to streamline your comprehension of biological data.

By the conclusion of the course, you will possess the ability to utilize bioinformatics tools for working with biological data.

Good Clinical Practice (GCP) constitutes a comprehensive framework of guidelines governing clinical research involving human participants. As the global benchmark, GCP dictates the standards for designing, conducting, monitoring, documenting, analyzing, and reporting clinical trials.

In this instructor-led live training, attendees will acquire knowledge of the essential guidelines and core principles underpinning Good Clinical Practice (GCP) for clinical trials and studies 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 completing this training, participants will be capable of:

• Grasping the fundamental principles of GCP for investigational drugs and biologics as defined by the International Conference on Harmonization (ICH)
• Applying GCP guidelines effectively within their clinical research and trial activities

Target Audience

• Clinical investigators
• Professionals in clinical research
• Healthcare and medical practitioners
• Staff supporting clinical trials
• Research and development personnel

Course Format

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

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

This instructor-led, live training (online or onsite) targets beginner-level to intermediate-level researchers and bioinformaticians seeking hands-on experience in the analysis of microbial genomics and metagenomic sequencing data.

Upon completing this training, participants will be able to:

• Describe common sequencing workflows and 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, build 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 so participants can apply methods to their 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 Serbia (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 is a hands-on course designed to demonstrate the power of programming as a tool for solving biological challenges. Participants will learn the Python programming language, which is widely recognized for its power and ease of use. The course serves as a practical example of how bioinformatics can enhance the daily lives of biologists.

The course is specifically designed and targeted at individuals without a computer science background who wish to learn programming.

This course is suitable for:

• Researchers working with biological data.
• Scientists who want to learn how to automate routine tasks and analyze data.
• Managers interested in understanding how programming can improve workflows and project management.

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

This course provides researchers with a comprehensive understanding of the principles underlying statistical design and analysis, highlighting their critical application across various scientific disciplines.

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

For customized courses, examples and materials can be tailored to specific fields such as psychology, public sector analytics, biology, genetics, and others.

Public courses utilize a mix of diverse examples to ensure broad applicability.

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

This course is also available as a blended learning program, incorporating homework and assignments.