A multilevel data integration resource for breast cancer study (Articolo in rivista)

Type

• Articolo in rivista (Classe)
• Prodotto della ricerca (Classe)

Label

• A multilevel data integration resource for breast cancer study (Articolo in rivista) (literal)

Anno

• 2010-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1186/1752-0509-4-76 (literal)

Alternative label

• Mosca E.; Alfieri R.; Merelli I.; Viti F.; Calabria A.; Milanesi L. (2010)
  A multilevel data integration resource for breast cancer study
  in BMC systems biology
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Mosca E.; Alfieri R.; Merelli I.; Viti F.; Calabria A.; Milanesi L. (literal)

Pagina inizio

• 76-1 (literal)

Pagina fine

• 76-11 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 4 (literal)

Rivista

• BMC systems biology (Rivista)

Note

• ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• CNR-ITB;CNR-ITB;CNR-ITB;CNR-ITB;CNR-ITB;CNR-ITB; (literal)

Titolo

• A multilevel data integration resource for breast cancer study (literal)

Abstract

• Background: Breast cancer is one of the most common cancer types. Due to the complexity of this disease, it is important to face its study with an integrated and multilevel approach, from genes, transcripts and proteins to molecular networks, cell populations and tissues. According to the systems biology perspective, the biological functions arise from complex networks: in this context, concepts like molecular pathways, protein-protein interactions (PPIs), mathematical models and ontologies play an important role for dissecting such complexity. Results: In this work we present the Genes-to-Systems Breast Cancer (G2SBC) Database, a resource which integrates data about genes, transcripts and proteins reported in literature as altered in breast cancer cells. Beside the data integration, we provide an ontology based query system and analysis tools related to intracellular pathways, PPIs, protein structure and systems modelling, in order to facilitate the study of breast cancer using a multilevel perspective. The resource is available at the URL http://www.itb.cnr.it/breastcancer. Conclusions: The G2SBC Database represents a systems biology oriented data integration approach devoted to breast cancer. By means of the analysis capabilities provided by the web interface, it is possible to overcome the limits of reductionist resources, enabling predictions that can lead to new experiments. (literal)

Prodotto di

• Modellistica Molecolare e GRID computing (INT.P02.011.001) (Modulo)
• Bioinformatica in Biomedicina (ME.P06.027.001) (Modulo)

Autore CNR

• LUCIANO MILANESI (Persona)
• IVAN MERELLI (Unità di personale interno)
• ETTORE MOSCA (Unità di personale esterno)
• Federica Viti (Persona)
• ROBERTA ALFIERI (Unità di personale esterno)

Incoming links:

Autore CNR di

• LUCIANO MILANESI (Persona)
• ETTORE MOSCA (Unità di personale esterno)
• IVAN MERELLI (Unità di personale interno)
• ROBERTA ALFIERI (Unità di personale esterno)
• Federica Viti (Persona)

Prodotto

• Bioinformatica in Biomedicina (ME.P06.027.001) (Modulo)
• Modellistica Molecolare e GRID computing (INT.P02.011.001) (Modulo)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• BMC systems biology (Rivista)