Genomic region sets are the central component of HiCognition. They allow answering complex questions within an integrated framework.
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HiCognition allows efficient aggregation of genomic features at region sets to facilitate rapid exploration.
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HiCognition's interactive visualization widgets allow quick data integration to uncover complex dependencies.
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HiCognition allows visualizing the average behavior of genomic features at genomic regions using aggregation widgets. These widgets allow users to explore both 1D- and 2D-genomic features at genomic region sets.
HiCognition features widgets that allow embedding of genomic regions based on genomic features. This way, the heterogeneity of genomic locations can be visualized and further explored by generating new subsets.
HiCognition users can use a powerful widget that implements the LOLA algorithm to discover associations between genomic region sets.
Michael Mitter is a molecular biologist, who has transitioned to the field of data science is now focused on applying his data science knowledge to solve biological challenges.
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Christoph Langer has a dual background in scientific computing and molecular biology and is interested in bringing computer science, software development, and agile project management best practices into live sciences.
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Ulrich Aschl is a trained software engineer and IT enthusiast who has been interested in technology from very early on. After his studies in Software Engineering he has done a Master's in Biomedical Engineering.
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Contact us on github if you have questions or suggestions about HiCognition.
If you want to contribute to HiCognition, have a look at our contribution guidelines.