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yApoptosis: yeast apoptosis database

Kwanjeera Wanichthanarak (Institutionen för kemi- och bioteknik, Systembiologi) ; Marija Cvijovic (Institutionen för matematiska vetenskaper) ; Andrea Molt (Institutionen för kemi- och bioteknik) ; Dina Petranovic (Institutionen för kemi- och bioteknik, Systembiologi)
DATABASE - THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION (1758-0463). Vol. 2013 (2013), Art. no. bat068 ,
[Artikel, refereegranskad vetenskaplig]

In the past few years, programmed cell death (PCD) has become a popular research area due to its fundamental aspects and its links to human diseases. Yeast has been used as a model for studying PCD, since the discovery of morphological markers of apoptotic cell death in yeast in 1997. Increasing knowledge in identification of components and molecular pathways created a need for organization of information. To meet the demands from the research community, we have developed a curated yeast apoptosis database, yApoptosis. The database structurally collects an extensively curated set of apoptosis, PCD and related genes, their genomic information, supporting literature and relevant external links. A web interface including necessary functions is provided to access and download the data. In addition, we included several networks where the apoptosis genes or proteins are involved, and present them graphically and interactively to facilitate rapid visualization. We also promote continuous inputs and curation by experts. yApoptosis is a highly specific resource for sharing information online, which supports researches and studies in the field of yeast apoptosis and cell death.

Nyckelord: PROTEIN-INTERACTION NETWORKS, PROGRAMMED CELL-DEATH, SACCHAROMYCES-CEREVISIAE, SYSTEMS BIOLOGY, COMPLEXES, GENOME, ATLAS



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Denna post skapades 2013-11-04. Senast ändrad 2015-05-07.
CPL Pubid: 186042

 

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Institutioner (Chalmers)

Institutionen för kemi- och bioteknik, Systembiologi (2008-2014)
Institutionen för matematiska vetenskaperInstitutionen för matematiska vetenskaper (GU)
Institutionen för kemi- och bioteknik (2005-2014)

Ämnesområden

Livsvetenskaper
Cell- och molekylärbiologi
Bioinformatik och systembiologi

Chalmers infrastruktur

Relaterade publikationer

Denna publikation ingår i:


Applied Bioinformatics in Saccharomyces cerevisiae: Data storage, integration and analysis


 


Projekt

Denna publikation är ett resultat av följande projekt:


Industrial Systems Biology of Yeast and A. oryzae (INSYSBIO) (EC/FP7/247013)