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hi,I ran into difficulties building the index in the first step:

Open yzyupup opened this issue 3 years ago • 7 comments

5c4f1205ac9bcec111d0f1bd5169c48

this in my command: tombo resquiggle /home/yzy/ont-data/MinION_CP_NAT/fin/ CP.fasta --processes 4 --num-most-common-errors 5 The program keeps showing 5 most common unsuccessful read types (approx. %):--corrected-group] and [--overwrite] is not set Did I make a mistake? Thank you!!!

yzyupup avatar Jun 09 '21 12:06 yzyupup

Hi @yzyupup . Add the --overwrite flag.

SycamoreLeaf avatar Jun 09 '21 12:06 SycamoreLeaf

Hi @yzyupup . Add the --overwrite flag.

Hi,thank you for your attention , add the --overwrite in the end? tombo resquiggle /home/yzy/data/NAT_single_fast5/5/ CP.fasta --processes 4 --num-most-common-errors 5 --overwrite The result of this is the same as before. Did I add it wrong?

yzyupup avatar Jun 09 '21 12:06 yzyupup

@yzyupup can you share a screenshot showing both the command you typed and the output you saw?

SycamoreLeaf avatar Jun 09 '21 13:06 SycamoreLeaf

@yzyupup can you share a screenshot showing both the command you typed and the output you saw?

tombo resquiggle /home/ywj/fang_lab/NAT_single_fast5/3 CP.fasta --processes 4 --num-most-common-errors 5 --overwrite thanks! 0efa10ecc0ab1ddfe5b5d140dd27179 667ef24a5bf18063935fb0f591074ea 7238f34702c9f0a6d6c2fe343843fdc tombo resquiggle /home/ywj/fang_lab/NAT_single_fast5/3 CP.fasta --processes 4 --num-most-common-errors 5 --overwrite thanks!

yzyupup avatar Jun 09 '21 14:06 yzyupup

Based on the text in your screenshots, it appears Tombo is working correctly.

SycamoreLeaf avatar Jun 09 '21 15:06 SycamoreLeaf

Based on the text in your screenshots, it appears Tombo is working correctly.

Hello, with your help, I completed the first step index construction. But after comparing the two sets of data to find the methylation sites, I encountered new troubles. Whenever I run to this step, the program will stop and the interface will remain motionless. Is this something I made a mistake or is it because my data is too large? The following is a screenshot of my operation, the interface has been stopped in this state thanks! a3d41e00bd6d3de649f03383a4546ef eef0ea56217a8b0d28cee596931c14c

yzyupup avatar Jun 11 '21 12:06 yzyupup

This is an issue with a newer version of numpy. A downgrade with pip install "numpy<1.20" should resolve this issue.

marcus1487 avatar Jun 15 '21 13:06 marcus1487