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Predict copy number variation (amplifications) #208
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Working on it. |
@seric17: here is a download of test data. Beware: the files are very big! |
Investigate this R package, which does GC normalization and an HMM approach based on gene locations Need to do normal mapping via bowtie2 that assigns reads to one position in the genome, rather than using the breseq generated bam file. |
Hi, I was wondering if this has already been implemented in recent versions. I found this will be quite useful. Thank you~ |
@he-hai Not yet. We're hoping to make some progress on it though. |
Is it available on version 0.37.1? I found it in breseq mannal by command "breseq -h". And it did work. However, I am a little confused about which file was the result of the CNV analysis.
I really appreciate your efforts. |
Do not use the It's not fully implemented or useful at this point. It's one of those things we hope to get to one day when the right researcher or collaborator shows up. We also don't know of other programs out there that do a great job at this (so share them here if you do). If you only have a few genomes, you can manually screen for changes in copy number by using We tend to use something like this (run from the main output directory of breseq results):
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Thank you for your prompt reply and suggestion. Thanks a lot! |
When I tried this command: Some problems occurred: This error is over my head. Thank you for your help~ |
Try running just this command and post the output:
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Thank you for your prompt reply. I tried the command,then the output is as follows: Error in file(file, "rt") : cannot open the connection |
Try running it without the |
I got it. Thank you for your attention to this matter! |
Goal: Predict large duplications/amplifications.
How?
Update/complete existing circular binary segmentation code (C++)
and/or
Implement a function that compares across multiple output folders
Possible test data:
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