from plot_utils import cluster_summary_plot, hist_counter from preprocess import Preprocessor, ConfigClass from cluster import Clustering import socket # Work out where data is stored if socket.gethostname() == 'yildun': prefix = '/space/musselle/datasets' elif socket.gethostname() == 'luca': prefix = '/home/musselle/san/data' elif socket.gethostname() == 'gg-pc6': prefix = '/home/musselle/data' c = ConfigClass() c.experiment_name = 'sb' c.clusters_outpath = os.path.join(prefix,'sticklebacks/clusters') batch_parameters = [ { 'c_thresh' : 0.95}, { 'c_thresh' : 0.95, 'maskN' : True}, { 'c_thresh' : 0.90}, { 'c_thresh' : 0.90, 'maskN' : True}, { 'c_thresh' : 0.85}, { 'c_thresh' : 0.85, 'maskN' : True}, ] outfiles_list = [] for d in batch_parameters:
from plot_utils import cluster_summary_plot, hist_counter from preprocess import Preprocessor, ConfigClass from cluster import Clustering import socket # Work out where data is stored if socket.gethostname() == 'yildun': prefix = '/space/musselle/datasets' elif socket.gethostname() == 'luca': prefix = '/home/musselle/san/data' elif socket.gethostname() == 'gg-pc6': prefix = '/home/musselle/data' c = ConfigClass() c.experiment_name = 'gzL6' c.clusters_outpath = os.path.join(prefix,'gazelles-zebras/clusters') batch_parameters = [ { 'c_thresh' : 0.95}, { 'c_thresh' : 0.95, 'maskN' : True}, { 'c_thresh' : 0.90}, { 'c_thresh' : 0.90, 'maskN' : True} ] outfiles_list = [] for d in batch_parameters: dirname = c.experiment_name + '_clustered_reads' outfile = c.experiment_name + '_clustered_reads'
from plot_utils import cluster_summary_plot, hist_counter from preprocess import Preprocessor, ConfigClass from cluster import Clustering import socket # Work out where data is stored if socket.gethostname() == "yildun": prefix = "/space/musselle/datasets" elif socket.gethostname() == "luca": prefix = "/home/musselle/san/data" elif socket.gethostname() == "gg-pc6": prefix = "/home/musselle/data" c = ConfigClass() c.experiment_name = "gzL6" c.clusters_outpath = os.path.join(prefix, "gazelles-zebras/clusters") batch_parameters = [ {"c_thresh": 0.95}, {"c_thresh": 0.95, "maskN": True}, {"c_thresh": 0.90}, {"c_thresh": 0.90, "maskN": True}, ] outfiles_list = [] for d in batch_parameters: dirname = c.experiment_name + "_clustered_reads"