PlasmoDB: a functional genomic database for malaria parasites

Cristina Aurrecoechea(University of Georgia), John Brestelli(University of Pennsylvania), Brian P. Brunk(Penn Center for AIDS Research), Jennifer Dommer(Penn Center for AIDS Research), S. Fischer(University of Georgia), Bindu Gajria(University of Georgia), Xiaorong Gao(Penn Center for AIDS Research), Alan R. Gingle(Applied Genetic Technologies (United States)), Gregory R. Grant(University of Georgia), Omar S. Harb(University of Georgia), Mark Heiges(University of Georgia), F. Innamorato(Penn Center for AIDS Research), John Iodice(University of Pennsylvania), Jessica C. Kissinger(University of Georgia), E. Kraemer(University of Georgia), Weizhong Li(University of Georgia), John A. Miller(University of Georgia), Vishal Nayak(Penn Center for AIDS Research), Cary Pennington(University of Georgia), Deborah F. Pinney(University of Pennsylvania), David S. Roos(University of Pennsylvania), C. A. Ross(University of Georgia), Christian J. Stoeckert(University of Pennsylvania), Charles Treatman(University of Georgia), Hong Wang(University of Georgia)
Nucleic Acids Research
October 29, 2008
10.1093/nar/gkn814
Cited by 1,287Open Access
Full Text

Abstract

PlasmoDB (http://PlasmoDB.org) is a functional genomic database for Plasmodium spp. that provides a resource for data analysis and visualization in a gene-by-gene or genome-wide scale. PlasmoDB belongs to a family of genomic resources that are housed under the EuPathDB (http://EuPathDB.org) Bioinformatics Resource Center (BRC) umbrella. The latest release, PlasmoDB 5.5, contains numerous new data types from several broad categories--annotated genomes, evidence of transcription, proteomics evidence, protein function evidence, population biology and evolution. Data in PlasmoDB can be queried by selecting the data of interest from a query grid or drop down menus. Various results can then be combined with each other on the query history page. Search results can be downloaded with associated functional data and registered users can store their query history for future retrieval or analysis.

Related Papers

No related papers found

Powered by citation graph analysis