Comments (2)
That's a surprisingly low mapping rate, maybe s/crappy transcriptome/very crappy transcriptome/ --- ;P. Anyway, yes, salmon counts single-end reads toward quantification. The way quasi-mapping works is that it first looks for paired-end reads that are mapped to the same contig. If those exist, it reports all such mappings. Otherwise, it reports the single-end mappings for each of the ends. The quantification is done in terms of "fragments", which is intentionally agnostic to the paired / single-end nature of the read mapping. If a paired end read maps, it counts as 1 fragment (though that mass of 1 gets proportionally assigned to the transcripts by the EM). If the pair doesn't map anywhere, then the single end mappings together all constitute 1 fragment (again, the same fragment whose mass gets proportionally assigned by the EM).
from salmon.
from salmon.
Related Issues (20)
- salmon quantmerge skipped the nucleotide IDs that have multiple sequences - Metagenome dataset HOT 2
- Precompiled asset missing for version 1.10.1
- Configure error installing salmon HOT 1
- rapidjson internal assertion failure: IsObject()
- Error running salmon
- Salmon installation problem HOT 3
- Difference between the genome browser view of BAM produced by STAR and the result of Salmon
- index error HOT 3
- Issues about using salmon quant on multiple bam files HOT 4
- transcript with very small EffectiveLength
- gene body coverage
- Segmentation core dumped - Salmon quant
- Counts in ONT data HOT 1
- Documentation - more explanation of percent_mapped and metadata information please HOT 1
- No bug - How to explain Salmon workflow simply ? (avoid mathematics-heavy explanation)
- Error (bug): version `GLIBC_PRIVATE' not found HOT 1
- Orphan recovery option in rare cases causes Salmon to quit abruptly without error
- Issue with dedup UMI reads
- error when trying to follow tutorial
- problem with syntax of command line
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from salmon.