Mercurial > repos > bgruening > trim_galore
diff test-data/paired_example_results2gz.txt @ 18:b94789823aad draft default tip
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/trim_galore commit f8ccc97b827b98db1bcf42073d3c5eb4e3f134c4
| author | bgruening |
|---|---|
| date | Sat, 10 May 2025 08:09:10 +0000 |
| parents | cd7e644cae1d |
| children |
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--- a/test-data/paired_example_results2gz.txt Wed Mar 05 18:50:58 2025 +0000 +++ b/test-data/paired_example_results2gz.txt Sat May 10 08:09:10 2025 +0000 @@ -3,13 +3,13 @@ ========================== Input filename: input_1.fastq.gz Trimming mode: paired-end -Trim Galore version: 0.6.7 -Cutadapt version: 3.4 -Python version: could not detect +Trim Galore version: 0.6.10 +Cutadapt version: 5.0 +Python version: 3.12.10 Number of cores used for trimming: 4 Quality Phred score cutoff: 20 Quality encoding type selected: ASCII+33 -Using Nextera adapter for trimming (count: 29). Second best hit was Illumina (count: 0) +Using Nextera adapter for trimming (count: 29). Second best hit was smallRNA (count: 0) Adapter sequence: 'CTGTCTCTTATA' (Nextera Transposase sequence; auto-detected) Maximum trimming error rate: 0.1 (default) Minimum required adapter overlap (stringency): 1 bp @@ -17,10 +17,9 @@ Output file will be GZIP compressed -This is cutadapt 3.4 with Python 3.9.6 +This is cutadapt 5.0 with Python 3.12.10 Command line parameters: -j 4 -e 0.1 -q 20 -O 1 -a CTGTCTCTTATA input_1.fastq.gz -Processing reads on 4 cores in single-end mode ... -Finished in 0.01 s (114 µs/read; 0.53 M reads/minute). +Processing single-end reads on 4 cores ... === Summary === @@ -36,6 +35,7 @@ Sequence: CTGTCTCTTATA; Type: regular 3'; Length: 12; Trimmed: 52 times +Minimum overlap: 1 No. of allowed errors: 1-9 bp: 0; 10-12 bp: 1 @@ -86,13 +86,13 @@ ========================== Input filename: input_2.fastq.gz Trimming mode: paired-end -Trim Galore version: 0.6.7 -Cutadapt version: 3.4 -Python version: could not detect +Trim Galore version: 0.6.10 +Cutadapt version: 5.0 +Python version: 3.12.10 Number of cores used for trimming: 4 Quality Phred score cutoff: 20 Quality encoding type selected: ASCII+33 -Using Nextera adapter for trimming (count: 29). Second best hit was Illumina (count: 0) +Using Nextera adapter for trimming (count: 29). Second best hit was smallRNA (count: 0) Adapter sequence: 'CTGTCTCTTATA' (Nextera Transposase sequence; auto-detected) Maximum trimming error rate: 0.1 (default) Minimum required adapter overlap (stringency): 1 bp @@ -100,10 +100,9 @@ Output file will be GZIP compressed -This is cutadapt 3.4 with Python 3.9.6 +This is cutadapt 5.0 with Python 3.12.10 Command line parameters: -j 4 -e 0.1 -q 20 -O 1 -a CTGTCTCTTATA input_2.fastq.gz -Processing reads on 4 cores in single-end mode ... -Finished in 0.02 s (232 µs/read; 0.26 M reads/minute). +Processing single-end reads on 4 cores ... === Summary === @@ -119,6 +118,7 @@ Sequence: CTGTCTCTTATA; Type: regular 3'; Length: 12; Trimmed: 58 times +Minimum overlap: 1 No. of allowed errors: 1-9 bp: 0; 10-12 bp: 1