Title
The Rat Genome Database 2015: genomic, phenotypic and environmental variations and disease.
Abstract
The RatGenome Database (RGD, http://rgd.mcw.edu) provides the most comprehensive data repository and informatics platform related to the laboratory rat, one of the most important model organisms for disease studies. RGD maintains and updates datasets for genomic elements such as genes, transcripts and increasingly in recent years, sequence variations, as well as map positions for multiple assemblies and sequence information. Functional annotations for genomic elements are curated from published literature, submitted by researchers and integrated from other public resources. Complementing the genomic data catalogs are those associated with phenotypes and disease, including strains, QTL and experimental phenotype measurements across hundreds of strains. Data are submitted by researchers, acquired through bulk data pipelines or curated from published literature. Innovative software tools provide users with an integrated platform to query, mine, display and analyze valuable genomic and phenomic datasets for discovery and enhancement of their own research. This update highlights recent developments that reflect an increasing focus on: (i) genomic variation, (ii) phenotypes and diseases, (iii) data related to the environment and experimental conditions and (iv) datasets and software tools that allow the user to explore and analyze the interactions among these and their impact on disease.
Year
DOI
Venue
2015
10.1093/nar/gku1026
NUCLEIC ACIDS RESEARCH
Field
DocType
Volume
Genome,Rat Genome Database,Informatics,Quantitative trait locus,Biology,Genomics,Information repository,Model organism,Genetics,Molecular Sequence Annotation
Journal
43
Issue
ISSN
Citations 
D1
0305-1048
26
PageRank 
References 
Authors
1.50
13
13
Name
Order
Citations
PageRank
Mary Shimoyama120035.46
Jeff de Pons2839.84
G. Thomas Hayman313213.77
Stanley J. F. Laulederkind415015.81
Wei-Song Liu5545.58
Rajni Nigam616926.98
Victoria Petri713317.76
Jennifer R. Smith813218.16
Marek Tutaj9557.43
Shur-Jen Wang1013813.80
Elizabeth A Worthey111018.65
Melinda R Dwinell1212517.82
Howard J Jacob1319128.17