Esempio n. 1
0
    def _get_gene_summary(self):
        """
        define a gene summary table
        """
        #unique identifier for each entry
        i = 0
        contents = summary_list = []

        config = read_gemini_config(args=self.args)
        path_dirname = config["annotation_dir"]
        file = os.path.join(path_dirname, 'summary_gene_table_v75')

        for line in open(file, 'r'):
            col = line.strip().split("\t")
            if not col[0].startswith("Chromosome"):
                i += 1
                table = gene_table.gene_summary(col)
                # defaul cosmic census to False
                cosmic_census = 0
                summary_list = [
                    str(i), table.chrom, table.gene, table.is_hgnc,
                    table.ensembl_gene_id, table.hgnc_id,
                    table.transcript_min_start, table.transcript_max_end,
                    table.strand, table.synonym, table.rvis,
                    table.mam_phenotype, cosmic_census
                ]
                contents.append(summary_list)
        database.insert_gene_summary(self.c, contents)
Esempio n. 2
0
    def _get_gene_summary(self):
        """
        define a gene summary table
        """
        #unique identifier for each entry
        i = 0
        contents = summary_list = []

        config = read_gemini_config(args=self.args)
        path_dirname = config["annotation_dir"]
        file = os.path.join(path_dirname, 'summary_gene_table_v75')

        for line in open(file, 'r'):
            col = line.strip().split("\t")
            if not col[0].startswith("Chromosome"):
                i += 1
                table = gene_table.gene_summary(col)
                # defaul cosmic census to False
                cosmic_census = 0
                summary_list = [str(i),table.chrom,table.gene,table.is_hgnc,
                                table.ensembl_gene_id,table.hgnc_id,
                                table.transcript_min_start,
                                table.transcript_max_end,table.strand,
                                table.synonym,table.rvis,table.mam_phenotype,
                                cosmic_census]
                contents.append(summary_list)
        database.insert_gene_summary(self.c, contents)