Table 5The representative approaches of integrative visualizationMethods
Description
URL
ICM [
108
]
Integrated clustering of multiple types of omics data is essential for
developing individual-based treatments and precision medicine
http:/
/biotech.bmi.ac.cn/icm/
MEXPRESS [
64
]
Offers clinical researchers a simple way to evaluate the TCGA data for
their genes or candidate biomarkers of interest
http:/
/mexpress.be
SteinerNet [
110
]
For researchers who would like to integrate their high-throughput data
for a specific condition or cellular response and to find biologicallymeaningful pathway
http://fraenkel-nsf.csbi.mit.edu/steinernet/
CrossHub [
112
]
The contribution of different mechanisms to the regulation of gene
expression varies for different tissues and tumors
https://sourceforge.net/projects/crosshub/
Anduril [
111
]
To translate the fragmented and heterogeneous datasets into knowledge
http:/
/csbi.ltdk.helsinki.fi/anduril/
Web-TCGA [
68
]
Integrated analysis of molecular cancer datasets provided by TCGA
https:/
/sourceforge.net/projects/webtcga/
Ensembl Genomes [
106
] Participants in a growing range of collaborations involved in the
annotation and analysis of genomes
http:/
/www.ensemblgenomes.org
INMEX [
109
]
Properly combining or integrating the datasets with similar basic
hypotheses can help reduce study bias, increase statistical power, andimprove overall biological understanding
http:/
/www.inmex.ca
cBioPortal [
107
]
To provide a practical guide to the analysis and visualization features of
the cBioPortal for cancer genomics
http:/
/cbioportal.org
Integrative Analysis of Omics Big Data 125