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src/c/g/cgat-HEAD/obsolete/pipeline_snps.py   cgat(Download)
            yield result
 
    PDatabase.importFromIterator( outfile
                                  , tablename
                                  , transform_data(data)
                                      , dataset = "hsapiens_gene_ensembl" )
 
    PDatabase.importFromIterator( outfile
                                  , tablename
                                  , data

src/c/g/cgat-HEAD/CGATPipelines/pipeline_variants.py   cgat(Download)
 
    PDatabase.importFromIterator(
        outfile, tablename, transform_data(data), columns=columns, indices=("gene_id", ))
 
 
 
        PDatabase.importFromIterator(
            outfile, tablename, data, columns=columns, indices=("hs_gene_id", "gene_id", ))
 
    else: