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I have been using porechop to trim my nanopore generated raw reads and i noticed that after trimming the number of total bases reduces, but the number of total reads increases compared to the raw reads. The log file from porechop does indicate that adapter trimming has been done. Seems a little strange to me, shouldn't the number of trimmed reads reduce after porechop? Any advice will be appreciated. Thank you
270,816 / 277,493 reads had adapters trimmed from their start (20,279,939 bp removed)
234,960 / 277,493 reads had adapters trimmed from their end (12,093,349 bp removed)
655 / 277,493 reads were split based on middle adapters
Saving trimmed reads to file
pigz found - using it to compress instead of gzip
RAW DATA:
General summary:
Mean read length: 5,901.0
Mean read quality: 10.1
Median read length: 4,650.0
Median read quality: 10.8
Number of reads: 277,493.0
Read length N50: 7,197.0
STDEV read length: 4,579.3
Total bases: 1,637,482,075.0
TRIMMED DATA:
General summary:
Mean read length: 5,774.1
Mean read quality: 10.2
Median read length: 4,529.0
Median read quality: 10.9
Number of reads: 277,956.0
Read length N50: 7,128.0
STDEV read length: 4,555.5
Total bases: 1,604,957,251.0
The text was updated successfully, but these errors were encountered:
Hi,
I have been using porechop to trim my nanopore generated raw reads and i noticed that after trimming the number of total bases reduces, but the number of total reads increases compared to the raw reads. The log file from porechop does indicate that adapter trimming has been done. Seems a little strange to me, shouldn't the number of trimmed reads reduce after porechop? Any advice will be appreciated. Thank you
porechop -i nanopore_strato_barcode2_TEST.fastq.gz -o ./porechop_strato_barcode2_TEST.fastq.gz
OUTPUT:
Looking for known adapter sets
10,000 / 10,000 (100.0%)
Best
read Best
start read end
Set %ID %ID
SQK-NSK007 100.0 79.2
Rapid 68.4 0.0
RBK004_upstream 80.0 0.0
SQK-MAP006 77.4 82.6
SQK-MAP006 short 80.0 76.0
PCR adapters 1 79.2 79.2
PCR adapters 2 82.6 82.6
PCR adapters 3 78.3 80.0
1D^2 part 1 72.4 74.1
1D^2 part 2 84.8 74.2
cDNA SSP 70.0 73.2
Barcode 1 (reverse) 100.0 80.0
Barcode 2 (reverse) 100.0 100.0
Barcode 3 (reverse) 75.0 77.8
Barcode 4 (reverse) 83.3 80.8
Barcode 5 (reverse) 80.8 80.8
Barcode 6 (reverse) 77.8 84.0
Barcode 7 (reverse) 76.9 76.0
Barcode 8 (reverse) 81.5 76.9
..
Trimming adapters from read ends
SQK-NSK007_Y_Top: AATGTACTTCGTTCAGTTACGTATTGCT
SQK-NSK007_Y_Bottom: GCAATACGTAACTGAACGAAGT
BC01_rev: CACAAAGACACCGACAACTTTCTT
BC01: AAGAAAGTTGTCGGTGTCTTTGTG
BC02_rev: ACAGACGACTACAAACGGAATCGA
BC02: TCGATTCCGTTTGTAGTCGTCTGT
NB01_start: AATGTACTTCGTTCAGTTACGTATTGCTAAGGTTAACACAAAGACACCGACAACTTTCTTCAGCACCT
NB01_end: AGGTGCTGAAGAAAGTTGTCGGTGTCTTTGTGTTAACCTTAGCAATACGTAACTGAACGAAGT
NB02_start: AATGTACTTCGTTCAGTTACGTATTGCTAAGGTTAAACAGACGACTACAAACGGAATCGACAGCACCT
NB02_end: AGGTGCTGTCGATTCCGTTTGTAGTCGTCTGTTTAACCTTAGCAATACGTAACTGAACGAAGT
277,493 / 277,493 (100.0%)
270,816 / 277,493 reads had adapters trimmed from their start (20,279,939 bp removed)
234,960 / 277,493 reads had adapters trimmed from their end (12,093,349 bp removed)
Splitting reads containing middle adapters
277,493 / 277,493 (100.0%)
655 / 277,493 reads were split based on middle adapters
Saving trimmed reads to file
pigz found - using it to compress instead of gzip
RAW DATA:
General summary:
Mean read length: 5,901.0
Mean read quality: 10.1
Median read length: 4,650.0
Median read quality: 10.8
Number of reads: 277,493.0
Read length N50: 7,197.0
STDEV read length: 4,579.3
Total bases: 1,637,482,075.0
TRIMMED DATA:
General summary:
Mean read length: 5,774.1
Mean read quality: 10.2
Median read length: 4,529.0
Median read quality: 10.9
Number of reads: 277,956.0
Read length N50: 7,128.0
STDEV read length: 4,555.5
Total bases: 1,604,957,251.0
The text was updated successfully, but these errors were encountered: