Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

NeoHiC: a web application for the analysis of Hi-C data

Abstract
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
Autori di Ateneo:
MERELLI IVAN
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/390312
Titolo del libro:
CIBB 2019 Computational Intelligence methods for Bioinformatics and Biostatistics - Conference Proceedings
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)