Nanoscience Fundamentals Training Course

This practical workshop is designed to introduce the fundamentals of bioinformatics. It is targeted at individuals with a basic background in biology and knowledge of molecular biology who are interested in learning how to process and analyze biological data using computational tools. This course has been specifically tailored for:

• Researchers working in experimental laboratories focused on biological macromolecules such as proteins, RNA, and DNA.
• Scientists whose primary expertise is not biology but who need to handle biological data effectively.
• Managers introducing new products (e.g., drugs) who wish to expand their understanding of modern bioinformatics for government applications.
• Computer programmers tasked with developing software that processes biological molecules.

The course is structured into two main parts: theoretical and practical. The lecture sessions are interspersed with hands-on exercises, quizzes, and tests to ensure that participants grasp the key concepts.

Throughout the training, we will guide you through a comprehensive tour covering all essential aspects of biological data analysis. This workshop offers an ideal opportunity to familiarize yourself with bioinformatics and its diverse applications. By the end of the course, you should be equipped to address any basic bioinformatics problem: you will know where to source the necessary data, how to extract relevant information, and how fundamental software and algorithms function. Our goal is to enhance your understanding of biological data for government use.

By the conclusion of the course, you will be proficient in working with biological data using bioinformatics tools.

This instructor-led, live training in US Empire (online or onsite) is designed for healthcare professionals and workers who seek 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:

• Gain a comprehensive understanding of key concepts in genetics.
• Comprehend the processes involved in genetic sequencing and testing operations.

This training is tailored to enhance skills and knowledge for government healthcare professionals, ensuring alignment with public sector workflows, governance, and accountability.

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

In this instructor-led, live training, participants will gain an understanding of the most important guidelines and fundamental principles applied in Good Clinical Practice (GCP) for clinical trials and research involving human subjects. This course provides a comprehensive overview of GCP areas, with a particular focus on ICH-centric GCP for Investigational Drugs and Biologics.

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

• Understand the fundamental principles of GCP for investigational drugs and biologics as outlined by the International Conference on Harmonization (ICH)
• Apply the guidelines stipulated by GCP 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 for Government

• Part lecture, part discussion, exercises, and extensive hands-on practice

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

This instructor-led, live training (online or onsite) is designed for beginner-level to intermediate-level researchers and bioinformaticians who wish to perform hands-on analysis of microbial genomics and metagenomic sequencing data for government applications.

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

• Describe common sequencing workflows and key file formats used in microbial genomics for government research.
• Perform quality control and preprocessing of raw NGS reads for accurate data analysis.
• Carry out taxonomic profiling using marker-based and k-mer approaches to identify microbial species.
• Assemble and annotate microbial genomes and plasmids for comprehensive genomic studies.
• Detect SNPs, build phylogenies, and interpret population structure to understand genetic diversity.
• Predict antimicrobial resistance genes and summarize functional profiles to inform public health policies.
• Use reproducible workflows with Conda, Docker, and notebook-based reports for transparent and accountable research.

Format of the Course

• Lectures introducing concepts and tools (20%).
• Hands-on practical sessions using example datasets (60%).
• Open discussions and guided analysis to help participants apply methods to their data (20%).

Course Customization Options

• To request a customized workshop focusing on clinical, environmental, or industrial metagenomics for government needs, please contact us to arrange.

This practical course demonstrates why programming is a powerful tool in the context of solving biological problems. Participants will learn the Python programming language, which is widely recognized for its power and ease of use. This course serves as an example of how bioinformatics can enhance the work of biologists.

The course is designed and aimed at individuals without a computer science background who wish to acquire programming skills.

This course is suitable for:

• Researchers handling biological data.
• Scientists interested in learning how to automate everyday tasks and analyze data.
• Managers seeking to understand how programming can improve workflows and project management, particularly for government projects.

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

This course aims to provide researchers with an understanding of the principles of statistical design and analysis and their relevance to research in various scientific disciplines for government.

It covers probability and statistical methods primarily through practical examples. The training consists of approximately 30% lectures and 70% guided quizzes and labs.

For closed courses, the examples and materials can be tailored to a specific branch, such as psychology tests, public sector applications, biology, genetics, and more.

In the case of public courses, a mix of examples is used to cater to a diverse audience.

Although various software tools are utilized during the course (such as Microsoft Excel, SPSS, Statgraphics, etc.), the primary focus is on understanding the principles and processes that guide research, reasoning, and conclusion.

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