VarCopy: a Visual Exploratory Data Analysis Platform for Copy Number Variation Studies

The study of such a complex phenomenon as cancer, which depends on several but unexplored and unclear factors, needs new ways to visualize, analyze and combine different data both on species characteristics and genes function. To this respect, we propose a novel platform, named VarCopy, supporting v...

Full description

Saved in:
Bibliographic Details
Main Authors: Bove, Fabio, Mandreoli, Federica, Martoglia, Riccardo, Pisi, Valentino, Taccioli, Cristian, Vischioni, Chiara
Format: Conference Proceeding
Language:English
Subjects:
Cancer
Copy Number Variations
Data analysis
data analysis models
Data models
Data visualization
Exploratory Data Analysis
interactive visualization
Knowledge engineering
scalable data science
Visualization
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The study of such a complex phenomenon as cancer, which depends on several but unexplored and unclear factors, needs new ways to visualize, analyze and combine different data both on species characteristics and genes function. To this respect, we propose a novel platform, named VarCopy, supporting visual Exploratory Data Analysis (EDA) in the context of Copy Number Variation (CNV) data. The platform will be publicly available as a web application soon, and is, to our best knowledge, the first tool allowing visual, interactive exploration and analysis of the CNV landscape of multiple species, allowing the identification of new target genes that might be useful for biomedical research.
ISSN:2375-0138
DOI:10.1109/IV51561.2020.00069