A stable, scalable and unbiased proteome set for sequence analysis
and functional annotation
Release 2019_09, Oct 13, 2019
|Reference Proteomes (RPs) (algorithmically determined), are proteomes that are selected from Representative Proteome Groups (RPGs) containing similar proteomes calculated based on co-membership in UniRef50 clusters. Reference Proteome is the proteome that can best represent all the proteomes in its group in terms of the majority of the sequence space and information. RPs at 75%, 55%, 35% and 15% co-membership threshold are provided to allow users to decrease or increase the granularity of the sequence space based on their requirements (Chen et al., 2011).
The RP set is updated every four weeks
(synchronized with UniProtKB release) and the data is available for
browsing, downloading and BLAST search.
BLAST sequence search
Browse RPs database
Download RPs files
* Seq files for each cut-off include the sequences from model organisms with complete proteomes.
All sequence files have been filtered to contain one-protein-per-gene.
Make your own RP sequence file
Pan Proteomes (PPs)
Viral Reference Proteomes (Viral RPs)
Representative Genome (RG) files
Users can retrieve the genomic sequences of the RPs from UniProt or NCBI.
UniProt: UniProt provides genomics sequences of bacterial and archaeal RPs at 55% cut-off and eukaryotic RPs at 75% cutoff (ftp://ftp.uniprot.org/pub/databases/uniprot/current_release/knowledgebase/reference_proteomes/).
NCBI: NCBI provides refseq-genbank.csv. file which has mappings of Genome project id, RefSeq project id and taxonomy id (ftp://ftp.ncbi.nlm.nih.gov/bioproject/). The taxonomy id mappings available at http://pir.georgetown.edu/rps/data/current/75/rpg-75.txt can be used to get the Genome project id or RefSeq project id from refseq-genbank.csv,
which then can be used to retrieve the genomic sequence or CDS using NCBI e-utils.
Chen C, Natale DA, Finn RD, Huang H, Zhang J, Wu CH, Mazumder R.
Representative proteomes: a stable, scalable and unbiased proteome set for sequence analysis and functional annotation.
PLoS One. 2011 Apr 27;6(4):e18910. PubMed PMID: 21556138; PubMed Central PMCID: PMC3083393.