Comments (5)
What is the average coverage for these data sets? It looks like the depths of coverage is much thinner than the figures showed before.
from lighter.
All of these have an average coverage across the whole genome of greater than 30 fold (average 55.5).
from lighter.
I just added a "-K" feature, which infers alpha from the total number of bases and genome size(very naive method). And it can take care of the different coverage between samples. Can you give this a try?
If this still have the problem, all the reads may have low quality covering the region miscorrected and Lighter will not store those kmers. If this is the case, you can try the parameter "-noQual".
If this could not solve the problem, I think you can try a more conservative correction parameter by setting "-maxcor" to 2 or even 1.
from lighter.
@flashton2003 did you ever go back and try the auto-alpha mode?
from lighter.
No, I never did :-(
from lighter.
Related Issues (20)
- A couple of suggestions HOT 1
- Optional level-1 gzip output? HOT 3
- Update quality scores when doing error correction HOT 2
- modify extension of output files HOT 2
- Support CmdLine Basics HOT 3
- selecting k-mer size greater than 32 HOT 3
- Invalid fastq files produced HOT 2
- Unintentional trimming of sequences HOT 3
- Lighter 1.1.1 has LIGHTER_VERSION = 1.1.0 HOT 2
- Add advice to "brew install lighter" HOT 1
- Major behaviour change from 1.0.7 to 1.1.1 HOT 4
- lighter installed from homebrew fails to complete HOT 3
- Trimmed and untrimmed read reported HOT 2
- Issue with loading trusted k-mers HOT 5
- Appropriate for 2.5 Gbp Plant Genome? HOT 2
- Multiple input files HOT 8
- Segmentation fault when using -t > 2 HOT 3
- When to use noQual and newQual ascii_quality_score HOT 2
- EC on Raw or Trimmed? HOT 1
- Test - error report - 0 corrected reads? HOT 7
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from lighter.