Genome Properties: a system for the investigation of prokaryotic genetic content for microbiology, genome annotation and comparative genomics.
BACKGROUND
The presence or absence of metabolic pathways and structures provide a context that makes protein annotation far more reliable. Compiling such information across microbial genomes improves the functional classification of proteins and provides a valuable resource for comparative genomics.


RESULTS
We have created a Genome Properties system to present key aspects of prokaryotic biology using standardized computational methods and controlled vocabularies. Properties reflect gene content, phenotype, phylogeny and computational analyses. The results of searches using hidden Markov models allow many properties to be deduced automatically, especially for families of proteins (equivalogs) conserved in function since their last common ancestor. Additional properties are derived from curation, published reports and other forms of evidence. Genome Properties system was applied to 156 complete prokaryotic genomes, and is easily mined to find differences between species, correlations between metabolic features and families of uncharacterized proteins, or relationships among properties.


BACKGROUND
Genome Properties can be found at http://www.tigr.org/Genome_Properties


BACKGROUND
http://www.tigr.org/tigr-scripts/CMR2/genome_properties_references.spl.
Haft
Daniel H
DH
The Institute for Genomic Research, 9712 Medical Center Drive, Rockville, MD 20850, USA.
Selengut
Jeremy D
JD
Brinkac
Lauren M
LM
Zafar
Nikhat
N
White
Owen
O
D002874:Chromosome Mapping / Q000379:methods*; D003628:Database Management Systems; D030541:Databases, Genetic; D004282:Documentation / Q000379:methods; D020869:Gene Expression Profiling / Q000379:methods; D005786:Gene Expression Regulation / Q000502:physiology; D023281:Genomics / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D008828:Microbiological Techniques / Q000379:methods; D009323:Natural Language Processing; D011387:Prokaryotic Cells / Q000502:physiology*; D020543:Proteome / Q000378:metabolism; D015398:Signal Transduction / Q000502:physiology; D012984:Software; D014584:User-Computer Interface; D018875:Vocabulary, Controlled
D020543:Proteome