Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
The National Microbial Pathogen Database Resource (NMPDR): A genomics platform based on subsystem annotation
Nucleic Acids Research, Volume 35, No. SUPPL. 1, Year 2007
Notification
URL copied to clipboard!
Description
The National Microbial Pathogen Data Resource (NMPDR) (http://www.nmpdr.org) is a National Institute of Allergy and Infections Disease (NIAID)-funded Bioinformatics Resource Center that supports research in selected Category B pathogens. NMPDR contains the complete genomes of ∼50 strains of pathogenic bacteria that are the focus of our curators, as well as >400 other genomes that provide a broad context for comparative analysis across the three phylogenetic Domains. NMPDR integrates complete, public genomes with expertly curated biological subsystems to provide the most consistent genome annotations. Subsystems are sets of functional roles related by a biologically meaningful organizing principle, which are built over large collections of genomes; they provide researchers with consistent functional assignments in a biologically structured context. Investigators can browse subsystems and reactions to develop accurate reconstructions of the metabolic networks of any sequenced organism. NMPDR provides a comprehensive bioinformatics platform, with tools and viewers for genome analysis. Results of precomputed gene clustering analyses can be retrieved in tabular or graphic format with one-click tools. NMPDR tools include Signature Genes, which finds the set of genes in common or that differentiates two groups of organisms. Essentiality data collated from genome-wide studies have been curated. Drug target identification and high-throughput, in silico, compound screening are in development. © 2007 Oxford University Press.
Authors & Co-Authors
McNeil, Leslie Klis
United States, Urbana
University of Illinois Urbana-champaign
Reich, Claudia
United States, Urbana
University of Illinois Urbana-champaign
Aziz, Ramy Karam
Egypt, Cairo
Faculty of Pharmacy
Bartels, Daniela
United States, Chicago
The University of Chicago
Cohoon, Matthew
United States, Chicago
The University of Chicago
Disz, Terry
United States, Chicago
The University of Chicago
Edwards, Robert A.
United States, Burr Ridge
Fellowship for Interpretation of Genomes
United States, San Diego
San Diego State University
United States, San Diego
Sanford Burnham Prebys Medical Discovery Institute
Gerdes, Svetlana
United States, Burr Ridge
Fellowship for Interpretation of Genomes
Hwang, Kaitlyn
United States, Chicago
The University of Chicago
United States, Lemont
Argonne National Laboratory
Kubal, Michael
United States, Chicago
The University of Chicago
Margaryan, Gohar Rem
United States, Chicago
The University of Chicago
Meyer, Folker
United States, Chicago
The University of Chicago
United States, Lemont
Argonne National Laboratory
Mihalo, William
United States, Chicago
The University of Chicago
Olsen, Gary J.
United States, Urbana
University of Illinois Urbana-champaign
Olson, Robert
United States, Chicago
The University of Chicago
Osterman, Andrei L.
United States, Burr Ridge
Fellowship for Interpretation of Genomes
United States, San Diego
Sanford Burnham Prebys Medical Discovery Institute
Paarmann, Daniel
United States, Chicago
The University of Chicago
Paczian, Tobias
United States, Chicago
The University of Chicago
Parrello, Bruce
United States, Burr Ridge
Fellowship for Interpretation of Genomes
Pusch, Gordon D.
United States, Chicago
The University of Chicago
United States, Burr Ridge
Fellowship for Interpretation of Genomes
Rodionov, Dmitry A.
United States, San Diego
Sanford Burnham Prebys Medical Discovery Institute
Shi, Xinghua
United States, Chicago
The University of Chicago
Vassieva, Olga
United States, Burr Ridge
Fellowship for Interpretation of Genomes
United Kingdom, Dundee
University of Dundee
Vonstein, Veronika
United States, Burr Ridge
Fellowship for Interpretation of Genomes
Zagnitko, Olga
United States, Burr Ridge
Fellowship for Interpretation of Genomes
Xia, Fangfang
United States, Chicago
The University of Chicago
Zinner, Jenifer
United States, Chicago
The University of Chicago
Overbeek, Ross A.
United States, Burr Ridge
Fellowship for Interpretation of Genomes
Stevens, Rick L.
United States, Chicago
The University of Chicago
United States, Lemont
Argonne National Laboratory
Statistics
Citations: 103
Authors: 29
Affiliations: 8
Identifiers
Doi:
10.1093/nar/gkl947
ISSN:
03051048
e-ISSN:
13624962
Research Areas
Cancer
Genetics And Genomics
Noncommunicable Diseases