[pipeline]
basecall_type = linear
min_qscore_1d = 7.0
desc_file = /home/jeremy/.local/lib/python3.5/site-packages/albacore/data_versioned/layout_raw_basecall_1d.jsn
log_intermodule_messages = False

[data_trimmer]
ev_window = 20
ev_threshold = 5
min_events = 3
delta = 2
chunk_size_out = 0      # Use a nonzero value to chunk output

[basecaller]
model = template_r9.5_450bps_5mer_raw.jsn
implementation = auto
min_events = 100
max_events = 10000
overlap = 50
min_quality = -10.0
min_prob = 1e-5
simple_decoding = 1
homopolymer_correct = 0
model_path = /home/jeremy/.local/lib/python3.5/site-packages/albacore/data_versioned

[call_handler]
record_base = read
qscore_adjuster_intercept = 1.5
qscore_adjuster_slope = 1.5

[barcode_detector]

[fastq]
identifier = {read_id}
header = {identifier} runid={run_id} read={read_number} ch={channel_id} start_time={start_time_utc}
header_with_barcoding = {identifier} runid={run_id} read={read_number} ch={channel_id} start_time={start_time_utc} barcode={barcode_id}
batch_file_name = fastq_runid_{run_id}_{batch_counter}.{extension}
single_file_name = {read_id}.{extension}
all_file_name = fastq_runid_{run_id}.fastq

[fast5]
basecall_columns = mean,start,stdv,length,model_state,move,p_model_state,weights