We present here a compact overview of the data, models and methods proposed for the analysis of biological networks based on the search for significant repetitions. In particular, we concentrate on three problems widely studied in the literature: 'network alignment', 'network querying' and 'network motif extraction'. We provide (i) details of the experimental techniques used to obtain the main types of interaction data, (ii) descriptions of the models and approaches introduced to solve such problems and (iii) pointers to both the available databases and software tools. The intent is to lay out a useful roadmap for identifying suitable strategies to analyse cellular data, possibly based on the joint use of different interaction data types or analysis techniques.
Panni, S., Rombo, S. (2015). Searching for repetitions in biological networks: methods, resources and tools. BRIEFINGS IN BIOINFORMATICS, 16(1), 118-136 [10.1093/bib/bbt084].
Searching for repetitions in biological networks: methods, resources and tools
ROMBO, Simona Ester
2015-01-01
Abstract
We present here a compact overview of the data, models and methods proposed for the analysis of biological networks based on the search for significant repetitions. In particular, we concentrate on three problems widely studied in the literature: 'network alignment', 'network querying' and 'network motif extraction'. We provide (i) details of the experimental techniques used to obtain the main types of interaction data, (ii) descriptions of the models and approaches introduced to solve such problems and (iii) pointers to both the available databases and software tools. The intent is to lay out a useful roadmap for identifying suitable strategies to analyse cellular data, possibly based on the joint use of different interaction data types or analysis techniques.File | Dimensione | Formato | |
---|---|---|---|
bib13NET.pdf
accesso aperto
Descrizione: Articolo principale
Tipologia:
Post-print
Dimensione
778.99 kB
Formato
Adobe PDF
|
778.99 kB | Adobe PDF | Visualizza/Apri |
OP-BIBJ130084 118..136.pdf
accesso aperto
Descrizione: Articolo principale
Tipologia:
Versione Editoriale
Dimensione
698.7 kB
Formato
Adobe PDF
|
698.7 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.