loader = dc.BiotracksLoader(
biotracksPath,
resampleTo=resampleTo,
minTrackLength=skipSmallerThan,
)
if addState2 is not None:
loaderState2 = dc.BiotracksLoader(
addState2,
resampleTo=resampleTo,
minTrackLength=skipSmallerThan,
)
if svfPath is not None:
print("Load from SVF...")
loader = dc.SvfLoader(svfPath,
resampleTo=resampleTo,
minTrackLength=skipSmallerThan,
csvSeparator=csvSep)
if addState2 is not None:
loaderState2 = dc.SvfLoader(addState2,
resampleTo=resampleTo,
minTrackLength=skipSmallerThan,
csvSeparator=csvSep)
tracks, attributes, names = loader.get()
# Start the track modifier that adjusts the data or adds attributes
tm = dc.TrackModifier(tracks, attributes, names)
scale = 1.
if scaleToUnit is not None:
extent = tm.getExtent()
