GenomeLens
The aim of the project is to produce the novel interactive tool “GenomeLens”, that uses genome sequencing data to visualize genetic variation along chromosomes within and between populations.
Describing mid-level support projects.
The aim of the project is to produce the novel interactive tool “GenomeLens”, that uses genome sequencing data to visualize genetic variation along chromosomes within and between populations.
The project’s primary objective is to connect a collection of postcards about climate change with actual climate monitoring data and data about economic inequality.
The project’s primary objective is to create a comprehensive Nordic resource for researching churches and prayer houses. At the same time, it seeks to document and preserve the rich historical heritage associated with these religious sites across the Nordic region. The primary audience for this initiative is researchers specializing in religious studies. Currently, the dataset includes information on churches and prayer houses in Norway and Sweden. However, the project aims to expand to cover other Nordic countries in the future, further enhancing its value as a research tool.
Displaying many dimensions of a dataset simultaneously presents its set of challenges. One way of going about dealing with these challenges is to present each data point, each “row” if you will, as a line across all axes parallel to each other. This project aim to provide a solution for any such dataset.
This project focused on developing a user-friendly and accessible pipeline for producing 3D models or ‘meshes’ from volumetric datasets, specifically for this case, in the domain of biology.
This project aims to showcase the current theory for the dynamics of pollen grains inside the anthers of certain flowers, when bumblebees interact with them. This phenomenon is called ‘Buzz Pollination’.