The network makeup artist (NORMA-2.0): distinguishing annotated groups in a network using innovative layout strategies

Evangelos Karatzas*, Mikaela Koutrouli, Fotis A. Baltoumas, Katerina Papanikolopoulou, Costas Bouyioukos, Georgios A. Pavlopoulos

*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

5 Citationer (Scopus)
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Abstract

Motivation: Network biology is a dominant player in today's multi-omics era. Therefore, the need for visualization tools which can efficiently cope with intra-network heterogeneity emerges. Results: NORMA-2.0 is a web application which uses efficient layouts to group together areas of interest in a network. In this version, NORMA-2.0 utilizes three different strategies to make such groupings as distinct as possible while it preserves all of the properties from its first version where one can handle multiple networks and annotation files simultaneously.

OriginalsprogEngelsk
Artikelnummervbac036
TidsskriftBioinformatics Advances
Vol/bind2
Udgave nummer1
DOI
StatusUdgivet - 2022

Bibliografisk note

Publisher Copyright:
© 2022 The Author(s). Published by Oxford University Press.

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