Explorative visual analytics on interval-based genomic data and their metadata.

Vahid JaliliMatteo MatteucciMarco MasseroliStefano Ceri

Published in: BMC bioinformatics (2017)

GeMSE effective application and practical usefulness is demonstrated through significant use cases of biological interest. GeMSE is available at http://www.bioinformatics.deib.polimi.it/GeMSE/ , and its source code is available at https://github.com/Genometric/GeMSE under GPLv3 open-source license.

Keyphrases

big data
electronic health record
artificial intelligence
machine learning
copy number
gene expression
data analysis
dna methylation