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How to pick the path with longer reads when multiple circular genome structures produced #93
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You can simply choose the results of repeat_pattern1 in your attached case. You don't need Let me know if you have further questions, otherwise feel free to close this issue |
Dear @Kinggerm, Thank you for the quick reply. After reading the "Why are there so many *path_sequence.fasta files?" part in FAQ scenario, I am not sure whether I clearly understand. Three additional questions I would like to confirm:
I am sorry if I ask basic questions. It's my first time to assemble chloroplast genome in plant and get to know the chloroplast structure recently. Once again, thanks for the useful software. I am looking forward to you reply. Thank you! |
Hope these help. |
Dear @Kinggerm, Yes, you replied precisely. Thank you for the help and I close the issue. |
Dear @Kinggerm ,
Thank you for the convenient and useful software. I use GetOrganelle to assemble the chloroplast of my plant species and I got 6 fasta files with different path. The output fastg and log file is below:
get_org.log.txt
compressed_fastg.zip
The figure below is the obtained from Bandage using extended_K105.assembly_graph.fastg.extend-embplant_pt-embplant_mt.fastg.
I quickly read the issue #25 and #86, but I am not sure whether I would use plastome_arch_info.py in my case. Besides, I found the warning in the log file said:
WARNING: Please check the existence of those isomers by using reads mapping (library information) or longer reads.
I also have Nanopore long reads data in my plant. Did I use long reads and map the the circular genome generated by GetOrganelle? And this plant species has also published a chloroplast genome in another accession.
Do you have any suggestion to solve the problem of multiple circular genome structure in my case? (Adjust the GetOrganelle parameter and run again? Map this new genome with Nanopore long read? Use complete reference chloroplast genome of the same species?)
Thank you for the help!
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