Good Clinical Practice (GCP) Training Course

This practical workshop introduces the essentials of bioinformatics, targeting individuals with a basic biological background and molecular biology knowledge who wish to learn computational data processing techniques. It is specifically designed for:

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

The course comprises theoretical and practical components. Lectures are interwoven with practical exercises, quizzes, and concept checks to ensure comprehension. Participants will follow a guided tour covering foundational aspects of biological data analysis. This workshop serves as an ideal entry point into bioinformatics, equipping learners to tackle basic 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 Turkey (online or onsite) is designed for healthcare professionals and workers seeking to acquire intermediate to advanced-level knowledge of various genetic sequencing and testing operations.

By the end of this training, participants will be able to:

• Learn and grasp fundamental genetic concepts.
• Understand the mechanisms behind genetic sequencing and testing operations.

Microbial genomics and metagenomics integrate sequencing technologies with computational analysis to characterize microbial communities, analyze genomes, and identify functional traits like antimicrobial resistance.

This instructor-led training (available online or onsite) targets beginner to intermediate researchers and bioinformaticians seeking hands-on experience analyzing microbial genomics and metagenomic sequencing data.

Upon completion, participants will be able to:

• Explain common sequencing workflows and essential file formats in microbial genomics.
• Conduct quality control and preprocessing of raw NGS reads.
• Execute taxonomic profiling using marker-based and k-mer methods.
• Assemble and annotate microbial genomes and plasmids.
• Detect SNPs, construct phylogenetic trees, and interpret population structures.
• Predict antimicrobial resistance genes and summarize functional profiles.
• Implement reproducible workflows using Conda, Docker, and notebook-based reporting.

Course Format

• Lectures on concepts and tools (20%).
• Hands-on practical sessions with sample datasets (60%).
• Open discussions and guided analysis to apply methods to your own data (20%).

Customization Options

• For workshops tailored to clinical, environmental, or industrial metagenomics, please contact us to arrange.

This instructor-led, live training session in Turkey (available online or onsite) targets scientists and enthusiasts seeking to understand 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 practical course demonstrates why programming is a powerful tool for solving biological problems. Throughout the program, participants will learn the Python programming language, widely recognized for its power and ease of use. This course serves as a compelling demonstration of how bioinformatics can enhance the daily work of biologists.

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

This course is ideal for:

• Researchers handling 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 capable of writing short programs to manipulate, analyze, and manage biological data, as well as present results in graphical formats.

This course is designed to help researchers grasp the core principles of statistical design and analysis, as well as their application across various scientific fields.

The curriculum introduces key probability and statistical concepts, primarily through practical examples. The training structure consists of approximately 30% lecture content and 70% guided quizzes and laboratory exercises.

For closed-course sessions, the examples and materials can be customized to align with a specific discipline, such as psychology, public sector analytics, biology, or genetics.

In open or public courses, a diverse range of examples is utilized to ensure broad relevance.

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 conclusion formulation.

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