Data di Pubblicazione:
2019
Abstract:
High-throughput sequencing Chromosome Conformation Capture (Hi-C) allows
the study of chromatin interactions and 3D chromosome folding on a larger scale.
A graph-based representation of Hi-C data is very important for a proper visualization
of the spatial pattern they represent, in particular for comparing different experiments
or for re-mapping omics-data in a space-aware context. But the size of these graphs
can be very large, and this prevents the straightforward use of current available graph
visualization tools and libraries. In this paper, we present the first version of NeoHIC,
a web application for the progressive graph visualization of Hi-C data based on the use
of the Neo4j graph database.
Tipologia CRIS:
04.02 Abstract in Atti di convegno
Keywords:
Hi-C; graph databases; web application; graph visualization
Elenco autori:
D'Agostino, Daniele; Merelli, Ivan
Link alla scheda completa:
Titolo del libro:
CIBB 2019 Computational Intelligence methods for Bioinformatics and Biostatistics - Conference Proceedings