986 search results for “genetics he data” in the Public website
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Qinxin He
Faculty of Humanities
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Yupeng He
Science
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Kai He
Science
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Bingshu He
Science
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Jiamian He
Science
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Genetic syndromes
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Genetic risk & atypical development: 22q11 Syndrome
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Genet Haile
Faculty Governance and Global Affairs
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Molecular Genetics and Biotechnology (MSc)
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.
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Extremely shy and genetically close
Investigating neurobiological endophenotypes of Social Anxiety Disorder
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Chemical genetic approaches for target validation
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.
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Dedicated genetics and compound libraries
This page is under construction.
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Fire use in human evolution: A genetic approach
Are traces of fire use detectable in ancient hominin genomes?
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The complicated conservation problem of genetic pollution
How does invasive hybridization affect threatened native species?
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Contact in the Prehistory of the Sakha (Yakuts): Linguistic and Genetic Perspectives
This study analyses the prehistory of a northeastern Siberian population, the Sakha, from both a molecular-genetic and a linguistic perspective.
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Genetic diversity in the lion (Panthera leo (Linnaeus 1758)): unravelling the past and prospects for the future
Promotor: Prof.dr. G.R. de Snoo
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Genetic, biochemical and neural correlates of vulnerability to depression.
How do genetic and environmental factors make us vulnerable to depression?
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Temperature effects on genetic and physiological regulation of adaptive plasticity
Promotor: P.M. Brakefield
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Oliver Tuazon
Faculteit Rechtsgeleerdheid
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Triple bottom line approach for risk-benefit analysis of genetically modified crops
Description of Triple bottom line approach for risk-benefit analysis of genetically modified crops.
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‘For good measure’: data gaps in a big data world
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.
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additional signals on genes: on the combination of DNA mechanics, genetics and translation speed
DNA carries various forms of information. Out of these forms of information the most well-known is classical genetic information.
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The mechanical genome : inquiries into the mechanical function of genetic information
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.
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Mechanical and genetics basis of cellularization and serosal window closure in Tribolium castaneum
The applications of studying the early development of insects range from agriculture to material science.
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Environmental and genetic drivers of wood and lignin formation in flowering plants
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.
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Genetic and environmental factors determining heterogeneity in preservation stress resistance of Aspergillus niger conidia
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.
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From molecules to monitoring: Integrating genetic tools into freshwater quality assessments
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.
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Phenomenology of death: subjectivity and nature in Husserl's genetic phenomenology
Starting from Husserl’s somewhat controversial claim about the immortality of the constituting subjectivity, this thesis uses the limit-case of death in order to present a phenomenological exploration of the notion of subjectivity and its relationship to nature. It also offers a second-order discussion…
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Open Data: The Researcher Perspective
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…
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Mariëlle Linting
Faculteit der Sociale Wetenschappen
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Chemical genetics strategy to profile kinase target engagement reveals role of FES in neutrophil phagocytosis, Nat. Comm. 2020
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.
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Inaugural lecture: Data of Value
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.
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Publication Helena Ursic en Bart Custers about data reuse
Data reuse and big data: a taxonomy for personal data reuse.
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DAMIOSO - data mining on high volume simulation output
Modern computer-aided simulation tools used by various industries produce gigabytes of data. But currently, they take days and even up to weeks of computation effort. To make the best use of all these data, the DAMIOSO project focuses on developing algorithms and tools for managing, mining, and optimizing…
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Data
Data Sets Department of Economics
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Governance and Data Science Group
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…
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Comparative ecology and genetics of sympatric wild cats in relation to human wildlife conflict in Bardia National Park, Nepal
What is the population size/structure and distribution of tiger and leopard inside the Bardia National Park (BNP) compared with the population outside? What is the movement and home range and conflict pattern in time and space of tigers and leopards inside the BNP compared with outside? What constitutes…
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Exploratory Data Mining in Multimodal data
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…
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SAPPAO - Optimizing the flight times of airplanes using data science
The SAPPAO project aims to optimise the accuracy and reliability of predicting scheduled flight times. The full name of the project is 'A Systems Approach towards Data Mining and Prediction in Airlines Operations'.
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Data-Driven Drug Discovery Network (D4N)
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.
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FAIR data
Open Science means not only sharing final research results but also the underlying data. A main way to do that is by making research data FAIR: Findable, Accessible, Interoperable and Reusable.
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Data Management
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…
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Data science
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…
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Data Science
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.
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Inaugural lecture: Data science and Ebola
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…
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Mining Sensor Data from Complex Systems
Promotor: J.N. Kok, Co-Promotor: A.J. Knobbe
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Data Science
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…
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Enriching official economic statistics using data-driven modelling techniques
Netherlands Statistics (CBS), Leiden University and the University of Amsterdam have started a collaboration in the form of a research project titled 'Enriching official economic statistics using data-driven modelling techniques'.
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Data exchange
What consequences does Brexit have for the protection of personal data?
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Data Use
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.