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HiCognition: a visual exploration and hypothesis testing tool for 3D genomics

Genome browsers facilitate integrated analysis of multiple genomics datasets yet visualize only a few regions at a time and lack statistical functions for extracting meaningful information. We present HiCognition, a visual exploration and machine-learning tool based on a new genomic region set conce...

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Detalles Bibliográficos
Autores principales: Langer, Christoph C. H., Mitter, Michael, Stocsits, Roman R., Gerlich, Daniel W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320903/
https://www.ncbi.nlm.nih.gov/pubmed/37408019
http://dx.doi.org/10.1186/s13059-023-02996-9
Descripción
Sumario:Genome browsers facilitate integrated analysis of multiple genomics datasets yet visualize only a few regions at a time and lack statistical functions for extracting meaningful information. We present HiCognition, a visual exploration and machine-learning tool based on a new genomic region set concept, enabling detection of patterns and associations between 3D chromosome conformation and collections of 1D genomics profiles of any type. By revealing how transcription and cohesion subunit isoforms contribute to chromosome conformation, we showcase how the flexible user interface and machine learning tools of HiCognition help to understand the relationship between the structure and function of the genome. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-02996-9.