{"database":"MassIVE","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Other":["ftp://massive-ftp.ucsd.edu/v02/MSV000082943/"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":{"citationCount":0,"reanalysisCount":0,"viewCount":0,"searchCount":0},"additional":{"omics_type":["Proteomics"],"submitter":["Dennis Wolan"],"instrument_platform":["FTMS"],"species":["Homo Sapiens (ncbitaxon:9606)"],"full_dataset_link":["https://massive.ucsd.edu/ProteoSAFe/dataset.jsp?task=322c4efbb5c24c97a2f68a53fbed165a"],"submitter_email":["wolan@scripps.edu"],"submitter_affiliation":["Assistant Professor Department of Molecular and Experimental Medicine TSRI - California Campus USA"],"sample_protocol":[""],"repository":["MassIVE"],"file_size":["5"],"ptm_modification":["MS:1002864 - No post-translational-modifications are included in the identified peptides of this dataset"],"data_protocol":[""],"citation_count":["0"],"additional_accession":[]},"is_claimable":true,"name":"Compil 2.0","description":"We designed a metaproteomic analysis method (ComPIL) to accommodate the ever-increasing number of sequences against which experimental shotgun proteomics spectra could be accurately and rapidly queried. Our objective was to create these large databases for the analysis of complex meta-samples with unknown composition, including those derived from human, animal, and environmental microbiomes. ","dates":{},"accession":"MSV000082943","cross_references":{}}