Paper Info
Title
The Triples Database: A Community Resource For Yeast Molecular Biology
Abstract
TRIPLES is a web-accessible database of TRansposon-Insertion Phenotypes, Localization and Expression in Saccharomyces cerevisiae-a relational database housing nearly half a million data points generated from an ongoing study using large-scale transposon mutagenesis to characterize gene function in yeast. At present, TRIPLES contains three principal data sets (i.e. phenotypic data, protein localization data and expression data) for over 3500 annotated yeast genes as well as several hundred non-annotated open reading frames. In addition, the TRIPLES web site provides online order forms linked to each data set so that users may request any strain or reagent generated from this project free of charge. In response to user requests, the TRIPLES web site has undergone several recent modifications. Our localization data have been supplemented with approximately 500 fluorescent micrographs depicting actual staining patterns observed upon indirect immunofluorescence analysis of indicated epitope-tagged proteins. These localization data, as well as all other data sets within TRIPLES, are now available in full as tab-delimited text. To accommodate increased reagent requests, all orders are now cataloged in a separate database, and users are notified immediately of order receipt and shipment. Also, TRIPLES is one of five sites incorporated into the new functional analysis tool Function Junction provided by the Saccharomyces Genome Database. TRIPLES may be accessed from the Yale Genome Analysis Center (YGAC) homepage at http://ygac.med.yale.edu.
Year
DOI
Venue
2002
10.1093/nar/30.1.73
NUCLEIC ACIDS RESEARCH
Keywords
Field
DocType
web accessibility,open reading frame,functional analysis,molecular biology,protein localization,relational database
Data point,Genome,Data set,Relational database,Biology,Yeast,Indirect immunofluorescence,Genetics,Molecular biology,Gene expression profiling,Web site,Database
Journal
Volume
Issue
ISSN
30
1
0305-1048
Citations 
PageRank 
References 
7
2.37
4
Authors
7
Name
Order
Citations
PageRank
Anuj Kumar12311.02
Kei-hoi Cheung266460.65
Nick Tosches3133.68
Peter Masiar4255.21
Yang Liu5491116.11
P L Miller644593.86
Michael Snyder713826.15