MINERVA, A Platform for the Exploration of Disease Maps

Marek Ostaszewski; Piotr Gawron; David Hoksza; Alexander Mazein; Ewa Smula; Wei Gu; Venkata Satagopam; Reinhard Schneider

doi:10.1016/B978-0-12-801238-3.11685-X

MINERVA, A Platform for the Exploration of Disease Maps

Marek Ostaszewski
, Piotr Gawron
, David Hoksza
, Alexander Mazein
, Ewa Smula
, Wei Gu
, Venkata Satagopam
, Reinhard Schneider

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Citation (Scopus)

Abstract

Disease maps support the process of discovery of disease mechanisms and help in understanding complex cross-talks of multiple pathways. Their diagrammatic content can be used in a range of visually supported analyses, which requires a proper set of tools. The MINERVA Platform is a standalone web server tailored for visual analytics of molecular interaction diagrams, and disease maps in particular. In this article we discuss different aspects of the reproducible discovery process in disease maps and illustrate them with examples using the MINERVA Platform. Interactive exploration, visualization of multi-omics data sets and integration with drug, chemical or miRNA target databases offer multi-faceted view at the molecular mechanisms. Visualization of omics datasets, including genetic variants gives a contextualized view and helps interpretation. API and plugins allow reproducible and customizable analytics and visualization workflows. In summary, the MINERVA Platform is a versatile tool for visual analytics of complex disease maps.

Original language	English
Title of host publication	Systems Medicine
Subtitle of host publication	Integrative, Qualitative and Computational Approaches: Volume 1-3
Publisher	Elsevier
Pages	480-489
Number of pages	10
Volume	1-3
ISBN (Electronic)	9780128160770
ISBN (Print)	9780128160787
DOIs	https://doi.org/10.1016/B978-0-12-801238-3.11685-X
Publication status	Published - 1 Jan 2020
Externally published	Yes

Keywords

Annotated content
Data integration
Disease models
Interoperability of systems biology standards
Molecular interaction networks
Visual analytics
Visualization of disease mechanisms
Visualization of omics data
Visualization of protein structures
Web server with API and plugins architecture

Access to Document

10.1016/B978-0-12-801238-3.11685-X

Cite this

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title = "MINERVA, A Platform for the Exploration of Disease Maps",

abstract = "Disease maps support the process of discovery of disease mechanisms and help in understanding complex cross-talks of multiple pathways. Their diagrammatic content can be used in a range of visually supported analyses, which requires a proper set of tools. The MINERVA Platform is a standalone web server tailored for visual analytics of molecular interaction diagrams, and disease maps in particular. In this article we discuss different aspects of the reproducible discovery process in disease maps and illustrate them with examples using the MINERVA Platform. Interactive exploration, visualization of multi-omics data sets and integration with drug, chemical or miRNA target databases offer multi-faceted view at the molecular mechanisms. Visualization of omics datasets, including genetic variants gives a contextualized view and helps interpretation. API and plugins allow reproducible and customizable analytics and visualization workflows. In summary, the MINERVA Platform is a versatile tool for visual analytics of complex disease maps.",

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author = "Marek Ostaszewski and Piotr Gawron and David Hoksza and Alexander Mazein and Ewa Smula and Wei Gu and Venkata Satagopam and Reinhard Schneider",

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doi = "10.1016/B978-0-12-801238-3.11685-X",

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AU - Ostaszewski, Marek

AU - Gawron, Piotr

AU - Hoksza, David

AU - Mazein, Alexander

AU - Smula, Ewa

AU - Gu, Wei

AU - Satagopam, Venkata

AU - Schneider, Reinhard

PY - 2020/1/1

Y1 - 2020/1/1

N2 - Disease maps support the process of discovery of disease mechanisms and help in understanding complex cross-talks of multiple pathways. Their diagrammatic content can be used in a range of visually supported analyses, which requires a proper set of tools. The MINERVA Platform is a standalone web server tailored for visual analytics of molecular interaction diagrams, and disease maps in particular. In this article we discuss different aspects of the reproducible discovery process in disease maps and illustrate them with examples using the MINERVA Platform. Interactive exploration, visualization of multi-omics data sets and integration with drug, chemical or miRNA target databases offer multi-faceted view at the molecular mechanisms. Visualization of omics datasets, including genetic variants gives a contextualized view and helps interpretation. API and plugins allow reproducible and customizable analytics and visualization workflows. In summary, the MINERVA Platform is a versatile tool for visual analytics of complex disease maps.

AB - Disease maps support the process of discovery of disease mechanisms and help in understanding complex cross-talks of multiple pathways. Their diagrammatic content can be used in a range of visually supported analyses, which requires a proper set of tools. The MINERVA Platform is a standalone web server tailored for visual analytics of molecular interaction diagrams, and disease maps in particular. In this article we discuss different aspects of the reproducible discovery process in disease maps and illustrate them with examples using the MINERVA Platform. Interactive exploration, visualization of multi-omics data sets and integration with drug, chemical or miRNA target databases offer multi-faceted view at the molecular mechanisms. Visualization of omics datasets, including genetic variants gives a contextualized view and helps interpretation. API and plugins allow reproducible and customizable analytics and visualization workflows. In summary, the MINERVA Platform is a versatile tool for visual analytics of complex disease maps.

KW - Annotated content

KW - Data integration

KW - Disease models

KW - Interoperability of systems biology standards

KW - Molecular interaction networks

KW - Visual analytics

KW - Visualization of disease mechanisms

KW - Visualization of omics data

KW - Visualization of protein structures

KW - Web server with API and plugins architecture

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DO - 10.1016/B978-0-12-801238-3.11685-X

M3 - Chapter

AN - SCOPUS:85151218578

SN - 9780128160787

VL - 1-3

SP - 480

EP - 489

BT - Systems Medicine

PB - Elsevier

ER -

MINERVA, A Platform for the Exploration of Disease Maps

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Keywords

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