|bioinfbas||Basics of Bioinformatics||21 hours||This is a practical workshop, which will introduce basics of bioinformatics. It is aimed at people with basic biological background and knowledge in molecular biology, who want to learn how to process and work with biological data using computational tools. It has been designed especially for: |
- Researchers working in experimental laboratories on biological macromolecules proteins, RNA and DNA.
- Scientists whose main area of expertise is not biology, but they need to cope with biological data.
- Managers introducing new products (e.g. drugs), who want to broaden their knowledge about nowadays bioinformatics.
- Computer programmers who are going to write programs dealing with biological molecules.
The course is divided into two parts: theoretical and practical. The lecture is interwoven with simple practical exercises, quizzes and tests to make sure that attendees understand the concepts.
During the training we will take you along a guided tour that covers all the basic aspects of biological data analysis. This workshop is an ideal opportunity to get familiar with bioinformatics and its many faces! At the end, you should be able to tackle any basic bioinformatics problem: you will know where to get the required data from, how to obtain relevant information and how basic software and algorithms work. Our aim is to facilitate your understanding of biological data.
By the end of the course you will be able to work with biological data using bioinformatics tools.
|drugdsg||Drug Design||21 hours||This course has been created for people who want to understand the basics of structural bioinformatics including protein-ligand docking and virtual screening, i.e.: |
- Researchers whose main area or expertise is not a structural bioinformatics, but they want to broaden their knowledge in this field
- Computer programmers who are going to deal with structural data (crystal structures, PDB format files, modeling pipelines) or with docking/virtual screening software
- Biology, biotechnology and bioinformatics students who want to expand their knowledge into structural bioinformatics and molecular interactions
This course is more like a workshop. The trainer introduces theoretical bases as well as basic pipeline for structure modeling and molecular interactions.
|geneticsint||Introduction to Genetics||14 hours||This course has been created for people who want to make reasonable decisions related to genetics, e.g.: |
- managers introducing new products using genetically modified plants
- researchers whose main area or expertise is not genetics, but they need to feed the results of genetic research into their work
- computer programmers who are going to deal with data related to DNA
- forensic experts, judges, lawyers, who need to make decisions based on DNA profiling (aka DNA testing or DNA matching)
It can be helpful for people who simply want to understand how genetics works.
It is a more narrative course in terms of the story, starting from the very origin of life and explaining how our genetic code has evolved over time and how can we trace the ancestry of human evolution.
Using the story of evolution, the trainer introduces you into scientific lingo and explains the workings of genes, DNA and RNA, heredity and natural selection.
The lecture is intertwined with simple exercises, quizzes and tests to make sure you understood the concepts and facts.
This course does not cover moral, political or religious point of view of genetics, but presents confirmed facts, not theories or conjectures.
|goodclinicalpractice||Good Clinical Practice (GCP)||21 hours||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
- 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
|mdlbiostruct||Modeling of Biological Structures||21 hours||This is a practical workshop, which will introduce basics of molecular modelling of proteins, RNA and DNA. It is well suited for people with biological background, with knowledge in molecular biology, who want to learn how to predict 3D structures of proteins, RNA and DNA molecules. |
It is especially suitable for:
- Researchers working in experimental laboratories on structure determination or analysis
- Scientists whose main area of expertise is not biology, but they need to cope with the results of structural biology research
- Managers introducing new products (e.g. drugs) who want to broaden their knowledge about novel techniques and possibilities in the field of drug design, structural biology and bioinformatics
- Computer programmers who are going to write programs dealing with biomolecules.
The course is divided into theoretical and practical parts. The lecture is interwoven with simple practical exercises, quizzes and tests to make sure attendees understand the concepts.
During the training you will be taught how to use software dedicated for building 3D models. Furthermore, we will show how to improve and assess models.
During the course we will present various software and different approaches used in novel structure modelling techniques. Our aim is to facilitate your understanding of modelling principles, reasoning and structure-based conclusion making process.
By the end of the course you will be able to prepare a 3D structure model of protein, RNA or DNA molecules of reasonable standard.
|mgmint||Introduction to Microbial Genomics & Metagenomics||21 hours||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.
|progbio||Programming for Biologists||28 hours||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.
|sccomm||Scientific Communication||14 hours||During this workshop participants will be familiarised with basics of scientific communication including ways of preparing presentations, short articles and posters promoting scientific results. The theoretical course is interwoven with simple practical exercises, quizzes and tests to make sure that participants understand the concepts. |
During the training you will be taught how to present your results in a comprehensible and interesting way. By the end of the course you will be able to deliver a memorable speech and create a presentation that will be remembered.
The course has been designed for people who want to learn how to present their work in an interesting, clear, understandable and memorable way.
It has been designed especially for:
- Researchers presenting their scientific results at conferences and workshops
- Scientists applying for grants
- Managers who want to introduce their ideas and plans in a scientific environment
- Lecturers who want to learn how to run their courses in a professional way
|statsres||Statistics for Researchers||35 hours||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.