Bio Training in Sofia

This instructor-led, live training in Sofia (online or onsite) is designed for scientists and anyone interested in learning 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 instructor-led live training, delivered Sofia (online or onsite), targets healthcare professionals and workers aiming to develop intermediate to advanced skills in genetic sequencing and testing operations.

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

• Learn and comprehend core genetics concepts.
• Understand the functioning of genetic sequencing and testing operations.

This is a practical workshop designed to introduce the fundamentals of bioinformatics. It targets individuals with a foundational 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 working in experimental laboratories on biological macromolecules: proteins, RNA, and DNA.
• Scientists whose primary expertise is not biology, but who need to manage biological data.
• Managers introducing new products (e.g., pharmaceuticals) who want to expand their knowledge of contemporary bioinformatics.
• Computer programmers who will be writing programs that deal with biological molecules.

The course consists of both theoretical and practical components. Lectures are interspersed 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.

Good Clinical Practice (GCP) represents a comprehensive set of guidelines governing clinical research conducted on human subjects. It functions as the global standard for the design, execution, monitoring, documentation, analysis, and reporting of clinical trials.

In this instructor-led live training, participants will master the essential guidelines and foundational principles of Good Clinical Practice (GCP) as applied to 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 requirements for Investigational Drugs and Biologics.

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

• Comprehend the fundamental principles of GCP for investigational drugs and biologics, grounded in the International Conference on Harmonization (ICH) standards.
• Apply GCP-mandated guidelines effectively to their own clinical research and trials.

Target Audience

• Clinical investigators
• Clinical research professionals
• Healthcare and medical professionals
• 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 integrate sequencing technologies with computational analysis to characterize microbial communities, define 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 hands-on experience in analyzing microbial genomics and metagenomic sequencing data.

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

• Explain standard sequencing workflows and the key file formats employed in microbial genomics.
• Conduct quality control and preprocessing of raw NGS reads.
• Perform taxonomic profiling using both marker-based and k-mer methodologies.
• 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 utilizing 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

• To request a customized workshop focused on clinical, environmental, or industrial metagenomics, please contact us to arrange a session.

This is a hands-on course that demonstrates why programming is a potent tool for addressing biological challenges. Throughout the training, participants will learn Python, a language renowned for both its power and user-friendliness. The course serves as a testament to how bioinformatics can enhance the daily lives of biologists.

Designed for individuals without a computer science background who wish to acquire programming skills.

This course is ideal for:

• Researchers working with biological data.
• Scientists seeking to automate routine tasks and perform data analysis.
• Managers interested in understanding how programming can optimize workflows and project management.

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

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

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

For closed-group sessions, we can customize the examples and materials to suit specific disciplines, such as psychology, the public sector, biology, genetics, and others.

For public courses, a diverse range of mixed examples is utilized to ensure broad applicability.

While the course employs a variety of software tools, ranging from Microsoft Excel to SPSS and Statgraphics, the primary emphasis remains on comprehending the underlying principles and processes that drive research, reasoning, and conclusion-drawing.

This course can also be offered in a blended format, incorporating homework and assignments to enhance learning.