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raw fraction commonly show many positions with 0.5

Open SAMtoBAM opened this issue 4 years ago • 3 comments

Hi there,

I am currently running tombo on a couple of species and what I find is that many of the positions have 0.5 as the raw fraction of reads that are methylated at that position. Any idea why this occurs? my species are commonly homozygous/haploid and therefore it is not a case of haplotype differences

There appear to no errors while running etc, purely the results

I am running this: tombo detect_modifications alternative_model \ --alternate-bases 5mC 6mA \ --fast5-basedirs fast5_single/ \ --statistics-file-basename 5mC_6mA.tombo \ --processes ${threads} --corrected-group RawGenomeCorrected_001

tombo text_output browser_files \ --statistics-filename 5mC_6mA.tombo.5mC.tombo.stats \ --fast5-basedirs fast5_single/ \ --corrected-group RawGenomeCorrected_001 \ --file-type fraction

Thank you

SAMtoBAM avatar Mar 04 '21 14:03 SAMtoBAM

Is your coverage high everywhere on the genome?

Can you share, say, a histogram showing that 0.5 occurs unusually often?

Have you run these Tombo commands before without running into this issue?

Good luck.

SycamoreLeaf avatar Mar 24 '21 16:03 SycamoreLeaf

Below is a histogram of the proportion of methylated reads at each position along the genome tombo_results 5mC fraction_histogram

I have this sort of pattern, where the 0.5 occurs just a bit less than the 1 in both Chlamydomonas reinhardtii and multiple strains of Saccharomyces cerevisiae and both are well covered with reads ~40X

I have had this for every run I have done with tombo

Hope that helps

SAMtoBAM avatar Mar 24 '21 20:03 SAMtoBAM

Hi @SAMtoBAM . Thanks for the histogram; that's really helpful.

I'm not sure this is an anomaly. If your coverage is that low (around 40 reads on average) then you should expect that histogram to have peaks where the x-axis is a rational number.

Rational numbers with small numerators and small denominators (in particular 1/2, but also 1/3, 2/3, 3/4, etc) ought to have larger peaks.

I think if you re-run this experiment with a higher coverage depth (maybe 1000x) your histogram will look a lot smoother.

SycamoreLeaf avatar Mar 26 '21 20:03 SycamoreLeaf