scout/server/userpanel.py
def parse_panel(csv_stream):
    """Parse user submitted panel."""
    reader = csv.DictReader(csv_stream, delimiter=';', quoting=csv.QUOTE_NONE)
    genes = []
    for gene_row in reader:
        if not gene_row['HGNC_IDnumber'].strip().isdigit():
            continue
        transcripts_raw = gene_row.get('Disease_associated_transcript')
        if transcripts_raw:
            transcripts_list = [tx.split(':', 1)[-1].strip() for tx in transcripts_raw.split(',')]
        else:
            transcripts_list = []

        models_raw = gene_row.get('Genetic_disease_model')
        models_list = [model.strip() for model in models_raw.split(',')] if models_raw else []
        panel_gene = dict(
            symbol=gene_row['HGNC_symbol'].strip() if gene_row.get('HGNC_symbol') else None,
            hgnc_id=int(gene_row['HGNC_IDnumber'].strip()),
            disease_associated_transcripts=transcripts_list,
            reduced_penetrance=True if gene_row.get('Reduced_penetrance') else None,
            mosaicism=True if gene_row.get('Mosaicism') else None,
            inheritance_models=models_list,
            database_entry_version=gene_row.get('Database_entry_version'),
        )
        genes.append(panel_gene)

    return genes
def parse_panel(csv_stream):
    """Parse user submitted panel."""
    reader = csv.DictReader(csv_stream, delimiter=';', quoting=csv.QUOTE_NONE)
    genes = []
    for gene_row in reader:
        if not gene_row['HGNC_IDnumber'].strip().isdigit():
            continue
        transcripts_raw = gene_row.get('Disease_associated_transcript')
        if transcripts_raw:
            transcripts_list = [tx.split(':', 1)[-1].strip() for tx in transcripts_raw.split(',')]
        else:
            transcripts_list = []

        models_raw = gene_row.get('Genetic_disease_model')
        models_list = [model.strip() for model in models_raw.split(',')] if models_raw else []
        panel_gene = dict(
            symbol=gene_row['HGNC_symbol'].strip() if gene_row.get('HGNC_symbol') else None,
            hgnc_id=int(gene_row['HGNC_IDnumber'].strip()),
            disease_associated_transcripts=transcripts_list,
            reduced_penetrance=True if gene_row.get('Reduced_penetrance') else None,
            mosaicism=True if gene_row.get('Mosaicism') else None,
            inheritance_models=models_list,
            database_entry_version=gene_row.get('Database_entry_version'),
        )
        genes.append(panel_gene)

    return genes
def parse_panel ( csv_stream ) : reader = csv . DictReader ( csv_stream , delimiter = ';' , quoting = csv . QUOTE_NONE ) genes = [ ] for gene_row in reader : if not gene_row [ 'HGNC_IDnumber' ] . strip ( ) . isdigit ( ) : continue transcripts_raw = gene_row . get ( 'Disease_associated_transcript' ) if transcripts_raw : transcripts_list = [ tx . split ( ':' , 1 ) [ - 1 ] . strip ( ) for tx in transcripts_raw . split ( ',' ) ] else : transcripts_list = [ ] models_raw = gene_row . get ( 'Genetic_disease_model' ) models_list = [ model . strip ( ) for model in models_raw . split ( ',' ) ] if models_raw else [ ] panel_gene = dict ( symbol = gene_row [ 'HGNC_symbol' ] . strip ( ) if gene_row . get ( 'HGNC_symbol' ) else None , hgnc_id = int ( gene_row [ 'HGNC_IDnumber' ] . strip ( ) ) , disease_associated_transcripts = transcripts_list , reduced_penetrance = True if gene_row . get ( 'Reduced_penetrance' ) else None , mosaicism = True if gene_row . get ( 'Mosaicism' ) else None , inheritance_models = models_list , database_entry_version = gene_row . get ( 'Database_entry_version' ) , ) genes . append ( panel_gene ) return genes
Parse user submitted panel.
Parse user submitted panel .