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

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

The network makeup artist (NORMA-2.0) : distinguishing annotated groups in a network using innovative layout strategies. / Karatzas, Evangelos; Koutrouli, Mikaela; Baltoumas, Fotis A.; Papanikolopoulou, Katerina; Bouyioukos, Costas; Pavlopoulos, Georgios A.

In: Bioinformatics Advances, Vol. 2, No. 1, vbac036, 2022.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Karatzas, E, Koutrouli, M, Baltoumas, FA, Papanikolopoulou, K, Bouyioukos, C & Pavlopoulos, GA 2022, 'The network makeup artist (NORMA-2.0): distinguishing annotated groups in a network using innovative layout strategies', Bioinformatics Advances, vol. 2, no. 1, vbac036. https://doi.org/10.1093/bioadv/vbac036

APA

Karatzas, E., Koutrouli, M., Baltoumas, F. A., Papanikolopoulou, K., Bouyioukos, C., & Pavlopoulos, G. A. (2022). The network makeup artist (NORMA-2.0): distinguishing annotated groups in a network using innovative layout strategies. Bioinformatics Advances, 2(1), [vbac036]. https://doi.org/10.1093/bioadv/vbac036

Vancouver

Karatzas E, Koutrouli M, Baltoumas FA, Papanikolopoulou K, Bouyioukos C, Pavlopoulos GA. The network makeup artist (NORMA-2.0): distinguishing annotated groups in a network using innovative layout strategies. Bioinformatics Advances. 2022;2(1). vbac036. https://doi.org/10.1093/bioadv/vbac036

Author

Karatzas, Evangelos ; Koutrouli, Mikaela ; Baltoumas, Fotis A. ; Papanikolopoulou, Katerina ; Bouyioukos, Costas ; Pavlopoulos, Georgios A. / The network makeup artist (NORMA-2.0) : distinguishing annotated groups in a network using innovative layout strategies. In: Bioinformatics Advances. 2022 ; Vol. 2, No. 1.

Bibtex

@article{007f59763d87474195e8a9be0b199c6d,
title = "The network makeup artist (NORMA-2.0): distinguishing annotated groups in a network using innovative layout strategies",
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. ",
author = "Evangelos Karatzas and Mikaela Koutrouli and Baltoumas, {Fotis A.} and Katerina Papanikolopoulou and Costas Bouyioukos and Pavlopoulos, {Georgios A.}",
note = "Publisher Copyright: {\textcopyright} 2022 The Author(s). Published by Oxford University Press.",
year = "2022",
doi = "10.1093/bioadv/vbac036",
language = "English",
volume = "2",
journal = "Bioinformatics Advances",
issn = "2635-0041",
publisher = "Oxford University Press",
number = "1",

}

RIS

TY - JOUR

T1 - The network makeup artist (NORMA-2.0)

T2 - distinguishing annotated groups in a network using innovative layout strategies

AU - Karatzas, Evangelos

AU - Koutrouli, Mikaela

AU - Baltoumas, Fotis A.

AU - Papanikolopoulou, Katerina

AU - Bouyioukos, Costas

AU - Pavlopoulos, Georgios A.

N1 - Publisher Copyright: © 2022 The Author(s). Published by Oxford University Press.

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

U2 - 10.1093/bioadv/vbac036

DO - 10.1093/bioadv/vbac036

M3 - Journal article

C2 - 36699373

AN - SCOPUS:85148556046

VL - 2

JO - Bioinformatics Advances

JF - Bioinformatics Advances

SN - 2635-0041

IS - 1

M1 - vbac036

ER -

ID: 342973362