Advanced Omics: from Single-Cell to Meta-Omics Approaches
Omics technologies have revolutionized our ways of looking at the relationship between genotype and phenotype of living organisms. Those technologies are nowadays widely applied to many organisms (bacteria, plants, animals, human). Yet for many years researchers have been looking only at average effects by analysing bulk samples. Recently, single-cell analyses have become available for many
Data Science Ethics Colloquium Series
Ethical and legal considerations are essential to many applications of data science. This colloquium series is intended to make the students aware of such considerations and to give them the vocabulary to discuss those matters with experts of legal and ethical aspects. Furthermore, the colloquium will enable students to develop an understanding of professional integrity
Introduction to Machine Learning 2
In this course we continue with discussing machine learning models and algorithms. While the focus in Introduction to Machine Learning 1 was on programming basic models yourself, in this course we will make more use of libraries for the elementary parts and the focus will mainly be on how to combine these parts into more
Bioinformatics, Data Analysis
De ontwikkeling van steeds nieuwe en betere high-throughput assay technologieën transformeert de moleculaire biologie in een razendsnel tempo. Sequencing van volledige genomen en de mogelijkheid om RNA, eiwitten, metabolieten en hun interacties op grote schaal (genoom-breed) te meten brengen een revolutie teweeg in biologisch onderzoek. Voor het eerst komen verschillende soorten data kwantitatief beschikbaar, en
Artificial Intelligence in (Bio-)Chemical Engineering
The digital transition of the (bio)-chemical industry and research requires new intelligent knowledge and decision-making tools. The increasing availability of data and computational resources over the past decade has led to a resurgence of machine learning-based research. Artificial intelligence has significant advantages over traditional modeling techniques, including flexibility, accuracy, and speed of execution. Therefore, artificial
Signal Processing
Digital signal processing is used in many modern computer sciences systems and applications. Examples are machine learning, artificial intelligence, and big data analysis; content recommenders in information systems; speech, music and image content based retrieval and searching; music and video compression; sensor data processing in embedded systems; bioinformatics and medical data analysis. This course deals
Molecular Genetics and Gene Technology
Het vak Moleculaire Genetica en Gentechnologie (MGG) bestaat uit een theoretisch deel (hoorcolleges en opdrachten) en een bijpassend praktisch deel. Bij het theoretische deel komen diverse aspecten van de Moleculaire Genetica ter sprake: DNA herstel mechanismen; DNA structuur (eu- en heterochromatine, DNA -en histon modificaties als essentiële onderdelen van epigenetica, mobiele DNA elementen); RNA (silencing,
Control Engineering
Besides a correct design or layout, good control systems are essential to guarantee that production systems operate and produce according the desired specifications. This course gives an introduction to classical control engineering approaches and discusses the standard methods and tools that are usually applied. The methods discussed in the course have a very wide application
Bioinformatics and Genomics
In this course, attention is paid to understanding and working with large amounts of data as has been obtained in recent years with genetic and molecular research. These technological developments require new skills and concepts to be able to understand and conduct life science research. Successively work with mutations and sequencing data will be used.
Exploratory Data Analysis in R
lant scientists use a wide range of experimental tools. Be it a simple weight measurement or an advanced imaging analysis, every experiment generates data that must be analyzed. Modern approaches for reproducible data analysis are mostly based on writing scripts in (statistical) programming languages. As such, working in the plant sciences and broader life sciences