we have a Solexa experiment that seems to be contaminated with a different genome than the one we were originally aiming at. The genomes have very different sizes (mouse vs. pombe) and if I understand correctly the quality scores from the fastq output correctly they are dependent on the size of the reference genome.
In our particular example it seems to me that the smaller genome will always get lower scores (due to the smaller reference genome). Is there a way to account for that and make the quality scores comparable?
To clarify a bit my confusion:
I got a Gerald output in s_1_sequence.txt with a reference genome to pombe that starts like this:
@PF2:1:1:1644:1100
ATGAATTTCAGCCTCTGGTCAGGCAGGGTTCCTTTT
+PF2:1:1:1644:1100
OOOOOOOOPOKOOPPOKKOOOOKOOEKKOOGGGGGA
@PF2:1:1:1702:1050
ACCAAGCGCAAATTTACGATTTAATTAGTATTTATA
+PF2:1:1:1702:1050
OPOOOOPOOOOOOOOOOOOOOOOOOOOHOOCHAHHE
@PF2:1:1:1532:1901
TTCAAATATTCCTGATCCAATGACAAGTTGAACCGT
And I get another file for a mouse genome as reference:
@PF2:1:1:1644:1100
ATGAATTTCAGCCTCTGGTCAGGCAGGGTTCCTTTT
+PF2:1:1:1644:1100
VVVVVVVVVVOVVVVVOOVVVVMVVCMNVVQQRRRE
@PF2:1:1:1702:1050
ACCAAGCGCAAATTTACGATTTAATTAGTATTTATA
+PF2:1:1:1702:1050
VVVVVVVVVVVVVVVVVVVVVVVVVVVIVVGRCRRP
@PF2:1:1:1532:1901
TTCAAATATTCCTGATCCAATGACAAGTTGAACCGT
clearly the quality scores are different.
Which makes me believe that not only peak information but also alignment information is used. Peak information is used because I see for the same sequence different quality scores. There reference genome is used for the calculation of the quality score because for the exact same clusters different scores are being obtained with different reference genomes.
Now the questions: How do I make the values comparable for different reference genomes. I want to identify sequences that align better to one reference genome compared to another one in order to get some understanding about the possible contamination.
Any comment is appreciated.
Thanks,
Bernd
In our particular example it seems to me that the smaller genome will always get lower scores (due to the smaller reference genome). Is there a way to account for that and make the quality scores comparable?
To clarify a bit my confusion:
I got a Gerald output in s_1_sequence.txt with a reference genome to pombe that starts like this:
@PF2:1:1:1644:1100
ATGAATTTCAGCCTCTGGTCAGGCAGGGTTCCTTTT
+PF2:1:1:1644:1100
OOOOOOOOPOKOOPPOKKOOOOKOOEKKOOGGGGGA
@PF2:1:1:1702:1050
ACCAAGCGCAAATTTACGATTTAATTAGTATTTATA
+PF2:1:1:1702:1050
OPOOOOPOOOOOOOOOOOOOOOOOOOOHOOCHAHHE
@PF2:1:1:1532:1901
TTCAAATATTCCTGATCCAATGACAAGTTGAACCGT
And I get another file for a mouse genome as reference:
@PF2:1:1:1644:1100
ATGAATTTCAGCCTCTGGTCAGGCAGGGTTCCTTTT
+PF2:1:1:1644:1100
VVVVVVVVVVOVVVVVOOVVVVMVVCMNVVQQRRRE
@PF2:1:1:1702:1050
ACCAAGCGCAAATTTACGATTTAATTAGTATTTATA
+PF2:1:1:1702:1050
VVVVVVVVVVVVVVVVVVVVVVVVVVVIVVGRCRRP
@PF2:1:1:1532:1901
TTCAAATATTCCTGATCCAATGACAAGTTGAACCGT
clearly the quality scores are different.
Which makes me believe that not only peak information but also alignment information is used. Peak information is used because I see for the same sequence different quality scores. There reference genome is used for the calculation of the quality score because for the exact same clusters different scores are being obtained with different reference genomes.
Now the questions: How do I make the values comparable for different reference genomes. I want to identify sequences that align better to one reference genome compared to another one in order to get some understanding about the possible contamination.
Any comment is appreciated.
Thanks,
Bernd
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