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How does invasive hybridization affect threatened native species?

In the master’s specialisation Molecular Genetics and Biotechnology at Leiden University students are trained by experts in the areas of molecular biology, microbiology, plant genetics, cellular imaging, animal disease models, and various –omics technologies and the corresponding bioinformatics.

Investigating neurobiological endophenotypes of Social Anxiety Disorder

Drug development is a time- and resource-consuming process that starts with the discovery and validation of a (protein) target that contributes to pathogenesis or disease progression.

Are traces of fire use detectable in ancient hominin genomes?

This study analyses the prehistory of a northeastern Siberian population, the Sakha, from both a molecular-genetic and a linguistic perspective.

Promotor: Prof.dr. G.R. de Snoo

In this thesis, I investigated the neurogenetic properties of Neotropical bat species. Bats represent the second largest mammalian order (Chiroptera) in the world, with Neotropical bats constituting about 13% of the total number of bat species.

In light of climate change, it is crucial to determine whether plant species can adapt to future climates to avoid extinction. Plants adapt to various conditions by altering their functional traits, such as leaf size or photosynthetic rate. Some traits appear linked and vary together between species,…

Promotor: P.M. Brakefield

An evolutionary 'trap' that has haunted crested and marbled newts for 25 million years: Leiden researchers have uncovered a mysterious DNA error that should not be able to arise – yet persists all the same. How is that possible? PhD candidate James France found new clues.

How do genetic and environmental factors make us vulnerable to depression?

Sarah Giest and Annemarie Samuels, both Assistant Professors at Leiden University, researched the quality and coverage of the data being collected for policiymakers to be used, specifically pertaining to minority groups.

DNA carries various forms of information. Out of these forms of information the most well-known is classical genetic information.

The applications of studying the early development of insects range from agriculture to material science.

Fungal food spoilage often starts with a contamination with spores. Experimental data strongly indicate the existence of subpopulations of spores with different levels of resistance to preservation methods.

In this project, we will study the genetic and environmental drivers of woodiness and stem lignification at the level of plant‐to‐gene‐to‐molecule.

How sustainable are open data infrastructures? Will the data we need in the future be available and usable? This project takes COVID-19 data/infrastructures as a case to study the sustainability and dynamics of open data infrastructures.

The four possible segments A, T, C and G that link together to form DNA molecules, and with their ordering encode genetic information, are not only different in name, but also in their physical and chemical properties.

Freshwater is an important resource, but at a great risk of species decline due to habitat loss, pollution and over-exploitation, and invasive alien species.

Combining results from bibliometric analyses, a global sample of researcher opinions and case-study interviews, a new report reveals that although the benefits of open research data are well known, in practice, confusion remains within the researcher community around when and how to share research…

Data reuse and big data: a taxonomy for personal data reuse.

By comparing individual health data with population data, doctors can provide personalized health advice and patients can learn from each other's experiences. Wessel Kraaij, professor of Applied Data Analytics shows how personal data can have predictive value.

The extensive use of electronic communication channels and other devices has opened new possibilities for collecting data on human behavior. This information is sometimes openly accessible, but largely part of administrative registration systems that are not open to the broader public. The data provides…

Collaborating and learning from other fields – that is what bioinformatician Hannah Augustijn enjoys most about doing research. During her PhD at Leiden University, she developed new ways to search within bacteria for the antibiotics of the future.

Chemical tools to monitor drug-target engagement of endogenously expressed protein kinases are highly desirable for preclinical target validation in drug discovery. Here, we describe a chemical genetics strategy to selectively study target engagement of endogenous kinases.

The Data-Driven Drug Discovery Network (D4N) is an initiative by researchers from Leiden University and collaborators to join efforts in applying and developing novel techniques from data science to drug discovery and related topics from bioinformatics.

Today, everybody and everything produces data. People produce large amounts of data in social networks and in commercial transactions. Medical, corporate, and government databases continue to grow. Sensors continue to get cheaper and are increasingly connected, creating an Internet of Things, and generating…

Data Sets Department of Economics

Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe

The change from a closed institution to an open living environment for patients with late stages of dementia will give the patients more freedom in their day-to-day life. The effect of this change on the patients’ mobility, activity and interaction with others will be assessed with sensor technology…

How can teachers be motivated by their students’ data in making stepwise changes to their teaching practices?

The ability to collect and interpret huge quantities of data has become indispensable to society and academia. Leiden University is a knowledge and expertise centre for data science that places the emphasis on interdisciplinary collaboration and innovation.

The majority of scientists, from archaeologists through to zoologists, collect enormous volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics and computer science, we can develop algorithms for analyzing…

LACDR adheres to strict data management rules, with the aim to make our data findable, accessible, interoperable and re-usable. For this reason all LACDR PhD candidates are required to prepare a data management plan and to implement data management rules accordingly. All PhD candidates follow a data…

The majority of scientists, from archaeologists through to zoologists, collect huge volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics, we can develop algorithms for analysing and identifying patterns…

What consequences does Brexit have for the protection of personal data?

The project 'Data use, online consumer needs, business strategies and regulatory response' aims to explore and examine the factors that impact upon the efficacy of information disclosure duties pertaining to customer data use in online business.

Promotores: J.C. van Houwelingen, S.A. van de Geer