Your browser doesn't support javascript.
loading
SignaLink: Multilayered Regulatory Networks.
Csabai, Luca; Ölbei, Márton; Budd, Aidan; Korcsmáros, Tamás; Fazekas, Dávid.
Afiliación
  • Csabai L; Eötvös Loránd University, Budapest, Hungary.
  • Ölbei M; Earlham Institute, Norwich Research Park, Norwich, UK.
  • Budd A; Quadram Institute, Norwich Research Park, Norwich, UK.
  • Korcsmáros T; Earlham Institute, Norwich Research Park, Norwich, UK.
  • Fazekas D; Eötvös Loránd University, Budapest, Hungary. tamas.korcsmaros@earlham.ac.uk.
Methods Mol Biol ; 1819: 53-73, 2018.
Article en En | MEDLINE | ID: mdl-30421399
ABSTRACT
Biological networks are graphs used to represent the inner workings of a biological system. Networks describe the relationships of the elements of biological systems using edges and nodes. However, the resulting representation of the system can sometimes be too simplistic to usefully model reality. By combining several different interaction types within one larger multilayered biological network, tools such as SignaLink provide a more nuanced view than those relying on single-layer networks (where edges only describe one kind of interaction). Multilayered networks display connections between multiple networks (i.e., protein-protein interactions and their transcriptional and posttranscriptional regulators), each one of them describing a specific set of connections. Multilayered networks also allow us to depict cross talk between cellular systems, which is a more realistic way of describing molecular interactions. They can be used to collate networks from different sources into one multilayered structure, which makes them useful as an analytic tool as well.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Transcripción Genética / Proteínas / Modelos Biológicos Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2018 Tipo del documento: Article País de afiliación: Hungria

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Transcripción Genética / Proteínas / Modelos Biológicos Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2018 Tipo del documento: Article País de afiliación: Hungria
...