Pregled bibliografske jedinice broj: 461543
Nuclear Receptor Signaling Atlas (www.nursa.org) : hyperlinking the nuclear receptor signaling community
Nuclear Receptor Signaling Atlas (www.nursa.org) : hyperlinking the nuclear receptor signaling community // Nucleic acids research, 34 (2006), 1; D221-D226 doi:10.1093/nar/gkj029 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 461543 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Nuclear Receptor Signaling Atlas (www.nursa.org) : hyperlinking the nuclear receptor signaling community
Autori
Lanz, Rainer B. ; Jeričević, Željko ; Zuercher, William J. ; Watkins, Chris ; Steffen, David L. ; Margolis, Roland ; McKenna, Neil J.
Izvornik
Nucleic acids research (0305-1048) 34
(2006), 1;
D221-D226
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
nuclear receptor; signaling
Sažetak
The nuclear receptor signaling (NRS) field has generated a substantial body of information on nuclear receptors, their ligands and coregulators, with the ultimate goal of constructing coherent models of the biological and clinical significance of these molecules. As a component of the Nuclear Receptor Signaling Atlas (NURSA)—the development of a functional atlas of nuclear receptor biology—the NURSA Bioinformatics Resource is developing a strategy to organize and integrate legacy and future information on these molecules in a single web-based resource (www.nursa.org). This entails parallel efforts of (i) developing an appropriate software framework for handling datasets from NURSA laboratories and (ii) designing strategies for the curationandpresentation of public data relevant to NRS. To illustrate our approach, we have described here in detail the development of a web-based interface for the NURSA quantitative PCR nuclear receptor expression dataset, incorporating bioinformatics analysis which provides novel perspectives on functional relationships between these molecules. We anticipate that the free and open access of the community to a platform for data mining and hypothesis generation strategies will be a significant contribution to the progress of research in this field.
Izvorni jezik
Engleski
Znanstvena područja
Biologija
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE