9 Papers
59 Citations
Allen Day is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Gene expression profiling & Generic Model Organism Database. The author has an hindex of 8, co-authored 9 publications. Previous affiliations of Allen Day include Cold Spring Harbor Laboratory.
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Papers
WormBase: a cross-species database for comparative genomics
Todd W. Harris,Raymond Lee,Erich M. Schwarz,Keith Bradnam,Daniel Lawson,Wen Chen,Darin Blasier,Eimear E. Kenny,Fiona Cunningham,Ranjana Kishore,Juancarlos Chan,Hans-Michael Müller,Andrei Petcherski,Gudmundur A. Thorisson,Allen Day,Tamberlyn Bieri,Anthony Rogers,Chao-Kung Chen,John Spieth,Paul W. Sternberg,Richard Durbin,Lincoln Stein +21 more
- 01 Jan 2003
TL;DR: The past two years have seen a significant expansion in the biological scope of WormBase, including the integration of large-scale, genome-wide data sets, the inclusion of genome sequence and gene predictions from related species and active literature curation.
Disease Gene Characterization through Large-Scale Co-Expression Analysis
Allen Day,Jun Dong,Vincent Funari,Vincent Funari,Bret Harry,Samuel P. Strom,Daniel H. Cohn,Daniel H. Cohn,Stanley F. Nelson +8 more
TL;DR: A new genomic tool for gene characterization, the UCLA Gene Expression Tool (UGET) is reported, which annotates and prioritizes genes better than other tools especially with rare tissue disorders or complex multi-tissue biological processes.
Cartilage-selective genes identified in genome-scale analysis of non-cartilage and cartilage gene expression
Vincent Funari,Allen Day,Deborah Krakow,Deborah Krakow,Zachary A. Cohn,Zugen Chen,Stanley F. Nelson,Daniel H. Cohn,Daniel H. Cohn +8 more
TL;DR: Defining the gene expression pattern for cartilage has identified new genes that may contribute to human skeletogenesis as well as provided further candidate genes for skeletal dysplasias.
GMODWeb: a web framework for the Generic Model Organism Database.
TL;DR: GMODWeb, a GMOD project designed to speed the development of model organism database (MOD) websites, is described, which provides integration with other GMOD tools and allow users to browse and search through a variety of data types.