Title
The Rat Genome Database (Rgd): Developments Towards A Phenome Database
Abstract
The Rat Genome Database (RGD) (http://rgd.mcw.edu) alms to meet the needs of its community by providing genetic and genomic infrastructure while also annotating the strengths of rat research: biochemistry, nutrition, pharmacology and physiology. Here, we report on RGD's development towards creating a phenome database. Recent developments can be categorized into three groups. (I) Improved data collection and integration to match increased volume and biological scope of research. (I!) Knowledge representation augmented by the implementation of a new ontology and annotation system. (ill) The addition of quantitative trait loci data, from rat, mouse and human to our advanced comparative genomics tools, as well as the creation of new, and enhancement of existing, tools to enable users to efficiently browse and survey research data. The emphasis is on helping researchers find genes responsible for disease through the use of rat models. These improvements, combined with the genomic sequence of the rat, have led to a successful year at RGD with over two million page accesses that represent an over 4-fold increase in a year. Future plans call for increased annotation of biological information on the rat elucidated through its use as a model for human pathobiology. The continued development of toolsets will facilitate integration of these data into the context of rat genomic sequence, as well as allow comparisons of biological and genomic data with the human genomic sequence and of an increasing number of organisms.
Year
DOI
Venue
2005
10.1093/nar/gki050
NUCLEIC ACIDS RESEARCH
Field
DocType
Volume
Genome,Rat Genome Database,Ontology,Knowledge representation and reasoning,Annotation,Biology,Phenome,Comparative genomics,Genomics,Genetics,Database
Journal
33
Issue
ISSN
Citations 
Database-Issue
0305-1048
19
PageRank 
References 
Authors
3.54
9
28
Name
Order
Citations
PageRank
Norberto de la Cruz1193.54
Susan Bromberg2456.71
Dean Pasko34111.97
Mary Shimoyama420035.46
Twigger Simon N514124.60
Jiali Chen6194.56
Chin-Fu Chen736335.23
Chunyu Fan8194.90
Cindy Foote9193.54
Gopal R. Gopinath10193.54
Glenn Harris11193.54
Aubrey Hughes12193.54
Yuan Ji13193.54
Weihong Jin14213.98
Dawei Li15194.56
Jedidiah Mathis16193.88
Natalya Nenasheva17193.54
Jeff Nie18193.88
Rajni Nigam1916926.98
Victoria Petri2013317.76
Dorothy Reilly21264.30
Weiye Wang22225.19
Wenhua Wu23194.56
Angela Zuniga-Meyer24193.54
Lan Zhao25193.54
Anne Kwitek266818.01
Peter J Tonellato2721224.88
Howard J Jacob2819128.17