Thanks. I am looking for alignment percentage, Isn't it this number misleading?
If I want the alignment rate, do I report 30.12% or 24.35% (21.05% + 3.30%)?
Hello friends,
Sample1_R1.fastq.gz : 120,183
Sample1_R2.fastq.gz : 120,183
Total R1 and R2 reads : 240,366
Sample1.sorted.dedup.bam statistics:
243828 + 0 in total (QC-passed reads + QC-failed reads)
3462 + 0 secondary
0 + 0 supplementary
32154 + 0 duplicates
73449 + 0 mapped (30.12% : N/A)
240366 + 0 paired in sequencing
120183 + 0 read1
120183 + 0 read2
50608 + 0 properly paired (21.05% : N/A)
62058 + 0 with itself and mate mapped
7929 + 0 singletons (3.30% : N/A)
60 + 0 with mate mapped to a different chr
60 + 0 with mate mapped to a different chr (mapQ>=5)
How come I can get 243,828 as QC-passed reads when I have total reads 240,366 (from R1 and R2)?
The difference are the secondary alignments. Those are reads that map equally well to more than 1 position in the genome. One alignment is randomly chosen as primary, the others flagged as secondary.
Thanks. I am looking for alignment percentage, Isn't it this number misleading?
If I want the alignment rate, do I report 30.12% or 24.35% (21.05% + 3.30%)?
30%. The mapping percentage is the percentage of reads in the fastq file that can be assigned to the genome. It does not matter if the reads align once or 100 times, the statement "mapped" is either true or false.
From samtools manual , flag 0x4 is UNMAP (segment unmapped). Which ever is not unmapped ("mapped 0x4 bit not set"- copy/pasted from Samtools manual ), is mapped when samtools (flagstat and idxstat) calculates mapped count.
You can observe the same in following example (-F exclude and -f include and 4 is flag):
$ samtools view -F 4 -c hcc1395_normal_rep1.cutadapt.bam
642343
$ samtools view -f 4 -c hcc1395_normal_rep1.cutadapt.bam
36404
$ samtools idxstats hcc1395_normal_rep1.cutadapt.bam
chr22 50818468 642343 29046
* 0 0 7358
642343- mapped; 29046 + 7358 (= 36404) - unmapped
This mapped count is used in calculating the %.
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243828-3462=240,366