Basics of Bioinformaticsのトレーニングコース

This instructor-led, live training in 日本 (online or onsite) is aimed at biologists who wish to use Biopython.

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

• Integrate biological concepts with information technologies to solve research problems.
• Mine information from large datasets of biological origin.
• Create algorithms for essential research tasks.

This instructor-led, live training in 日本 (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) is a set of guidelines for clinical research done on 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 learn the most important guidelines and fundamental principles applied in Good Clinical Practice (GCP) for clinical trials and researches involving human subjects. This course provides an overview of the different GCP areas, but provides slightly more focus on the 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 based on the International Conference on Harmonization (ICH)
• Apply the guidelines stipulated by the GCP to their clinical researches and trials

Audience

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

Format of the course

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

This course will provide an introduction to microbial genomics. The content is intended to provide a basic hands-on training on data analysis, tools and resources for microbial bioinformatics and metagenomics.

Who are expected to attend?
Microbiologist, faculty, post doctorates, graduate students, research staff, and industry researchers interested in microbial genomics.

Format of the course
Topics will be delivered using a mixture of lectures (20%), practical sessions (60%) and open discussions (20%). 
Practical work during the course will use small example datasets, but it is possible to work on your personal data.
This course will be held in a computer lab, which has desktop computers running Microsoft Windows OS with high speed internet connection.  However, you can use your own laptop, only be sure you have Chrome or Firefox and have a recent version of Java installed. 

This instructor-led, live training in 日本 (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 instructor-led, live training in 日本 (online or onsite) is aimed at advanced-level forensic scientists, geneticists, and anthropologists who wish to apply NGS techniques to forensic investigations.

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

• Understand the principles of NGS and its forensic applications.
• Analyze forensic DNA samples using NGS techniques.
• Interpret NGS data for human identification and ancestry determination.
• Utilize NGS in degraded and complex DNA samples.
• Apply bioinformatics tools for forensic genomic analysis.
• Understand legal and ethical considerations in forensic genomics.

This is a practical course, which shows why programming is a powerful tool in the context of solving biological problems. During the course participants will be taught the Python programming language, a language widely considered both powerful as well as easy to use. This course might be considered as a demonstration how bioinformatics improves biologists lives.

The course is designed and aimed for people without computer science background who want to learn to program.

This course is suited for:

• Researchers dealing with biological data.
• Scientists who would like to learn how to automate everyday tasks and analyse data.
• Managers who want to learn how programming improves workflows and conducting projects.

By the end of the course, participants will be able to write short programs, which will allow them to manipulate, analyse and deal with biological data and present results in a graphical format.

This course aims to give researchers an understanding of the principles of statistical design and analysis and their relevance to research in a range of scientific disciplines.

It covers some probability and statistical methods, mainly through examples. This training contains around 30% of lectures, 70% of guided quizzes and labs.

In the case of closed course we can tailor the examples and materials to a specific branch (like psychology tests, public sector, biology, genetics, etc...)

In the case of public courses, mixed examples are used.

Though various software is used during this course (Microsoft Excel to SPSS, Statgraphics, etc...) its main focus is on understanding principles and processes guiding research, reasoning and conclusion.

This course can be delivered as a blended course i.e. with homework and assignments.