def compute_feature_label(self, f):
if f.type != "original" and show_locations:
return str(int(f.location.start))
elif show_feature_labels and f.type == "original":
return BiopythonTranslator.compute_feature_label(f)
else:
return None
def compute_feature_label(self, feature):
if feature.type == 'restriction_site':
return None
elif feature.type == "CDS":
return "CDS here"
else:
return BiopythonTranslator.compute_feature_label(self, feature)
def compute_feature_label(self, feature):
if abs(feature.location.end - feature.location.start) > 100:
label = BiopythonTranslator.compute_feature_label(
self, feature
)
return abreviate_string(label, 10)
else:
return feature.qualifiers.get("enzyme", None)
def compute_feature_label(self, feature):
if self.is_source(feature):
return "".join(feature.qualifiers["source"])
elif abs(feature.location.end - feature.location.start) > 100:
label = BiopythonTranslator.compute_feature_label(self, feature)
return abreviate_string("".join(label), 30)
else:
return None
def compute_feature_label(feature):
if AssemblyTranslator.is_source(feature):
return feature.qualifiers['source']
elif abs(feature.location.end - feature.location.start) > 100:
label = BiopythonTranslator.compute_feature_label(feature)
return abreviate_string(label, 30)
else:
return None
def compute_feature_label(self, f):
is_edit = f.qualifiers.get("is_edit", "false")
if "true" in [is_edit, is_edit[0]]:
return None
default = BiopythonTranslator.compute_feature_label(self, f)
label = None if (f.type != "misc_feature") else default
if label == "misc_feature":
label = None
return label
def compute_feature_label(self, feature):
if "homology" in str(feature.qualifiers.get("label", '')):
return None
else:
return BiopythonTranslator.compute_feature_label(feature)
def compute_feature_label(self, f):
return BiopythonTranslator.compute_feature_label(f)[:20]
def compute_feature_label(self, feature):
if feature.type == "CDS": # not sure if we need to label the gene as well, can be changed if needed
return BiopythonTranslator.compute_feature_label(self, feature)
return None
def compute_feature_label(self, feature):
if feature.type not in ["CDS", "regulatory"]:
return None
else:
return BiopythonTranslator.compute_feature_label(self, feature)
def compute_feature_label(self, f):
label = BiopythonTranslator.compute_feature_label(self, f)
if not f.qualifiers.get("is_a_breach", False):
if len(label) > 20:
label = label[:19] + "…"
return label
