Closed predictowner closed 11 months ago
What method do you use for converting gem to gef?
I first use io.read_gem(file_path[, sep, bin_type, ...]) to open the data, then try to save the data in GEF file with io.write_mid_gef(data, output).
I think your data is very big, it is diffcult to reduce the consumption of memory because the method write_mid_gef
will change the expression matirx from sparse matrix to numpy.ndarray.
you can try to use gefpy
to do this and you can get example from this url in which the first part is about the converting gem to squarebin.gef
I just got a GEM file after sequencing, and I want to transform this into a GEF file (bin1) for subsequent analysis. But when I'm trying to do that on Jupyter, I met an memoryErroR which suggest that a few TiB memory is needed for this, is there any other possible way for doing this?