specialized

Description Modern technologies are able to deliver an unprecedented amount of data rapidly. However, without due care and attention early in the experimental process, such data are meaningless if they cannot adequately answer the intended research question. This course is aimed at those planning...

Description The Biological Network Series c onsists of three webinars, each presented in the form of a 2-hour lecture as well as a tutorial with step-wise screenshots that enable listeners to emulate the subject at hand. Please note that these are webinars and not a coding exercises . LECTURE 1: An...

Description This two days course will focus on the theory and applications of metagenomics, for the analysis of complex microbiomes (microbial communities). The course will include theoretical (~40%) and practical (~60%) training. We will start with the fastest, simplest and cheapest amplicon based...

Description This event introduces participants to the KNIME Analytics Platform, an open source data science platform with a visual workflow editor, that can be used by users without prior programming experience or integrated with existing scripts written in R or Python. These sessions are aimed...

Description Data analyses usually entail the application of many command line tools or scripts to transform, filter, aggregate or plot data and results. With ever increasing amounts of data being collected in science, reproducible and scalable automatic workflow management becomes increasingly...

Description This course aims to familiarise biomedical students and researchers with principles of Data Science . Focusing on utilising machine learning algorithms to handle biomedical data , it will cover: effects of experimental design , data readiness , pipeline implementations , machine...

Description Many experimental designs end up producing lists of hits , usually based around genes or transcripts . Sometimes these lists are small enough that they can be examined individually, but often it is useful to do a more structured functional analysis to try to automatically determine any...

Description RNA-Seq technology has been transformative in our ability to explore gene content and gene expression in all realms of biology, and de novo transcriptome assembly has enabled opportunities to expand transcriptome analysis to non-model organisms. This course provides an overview of...

Description This course will present a set of R/Bioconductor packages to access, manipulate, visualise and analyse mass spectrometry (MS) and quantitative proteomics data. Prerequisites The course is targeted to either proteomics practitioners or data analysts/bioinformaticians that would like to...

Description This 1-week course aims to provide an introduction to the best practices and tools needed to perform bioinformatics research effectively and reproducibly. Focusing on solutions around handling biological data, we will cover introductory lessons in data manipulation and visualisation in...