labcasClient = LabcasClient()
# product type metadata (to be submitted as part of upload workflow)
metadata = {
# required
'DatasetName':'Autoantibody Biomarkers',
'ProtocolId':'138',
'ProtocolName':'Validation of Protein Markers for Lung Cancer Using CARET Sera and Proteomics Techniques',
'LeadPI':'Samir Hanash',
'DataCustodian':'Ji Qiu',
'DataCustodianEmail':'*****@*****.**',
'CollaborativeGroup':'Lung and Upper Aerodigestive',
'OwnerPrincipal':'/Samir/Hanash',
# optional
'OrganSite':'Lung',
'SiteName':'Fred Hutchinson Cancer Research Center (Biomarker Developmental Laboratories)',
'SiteShortName':'FHCRC',
'QAState':'Accepted',
'PubMedId':'http://www.ncbi.nlm.nih.gov/pubmed/18794547',
'DateDatasetFrozen':'2007/05/29',
}
# upload dataset staged in directory 'mydata'
labcasClient.uploadDataset(datasetId, metadata)
# query the product types from the XML/RPC File Manager interface
labcasClient.getProductTypeByName(datasetId)
# list all products for given dataset == product type
labcasClient.listProducts(datasetId)
