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"
