SUMMARISING RUN PARAMETERS ========================== Input filename: SRR389222_sub3.fastq.gz Trimming mode: single-end Trim Galore version: 0.6.7 Cutadapt version: 3.4 Number of cores used for trimming: 1 Quality Phred score cutoff: 20 Quality encoding type selected: ASCII+33 Unable to auto-detect most prominent adapter from the first specified file (count Illumina: 0, count Nextera: 0, count smallRNA: 0) Defaulting to Illumina universal adapter ( AGATCGGAAGAGC ). Specify -a SEQUENCE to avoid this behavior). Adapter sequence: 'AGATCGGAAGAGC' (Illumina TruSeq, Sanger iPCR; default (inconclusive auto-detection)) Maximum trimming error rate: 0.1 (default) Minimum required adapter overlap (stringency): 1 bp Minimum required sequence length before a sequence gets removed: 20 bp Running FastQC on the data once trimming has completed Output file will be GZIP compressed This is cutadapt 3.4 with Python 3.7.6 Command line parameters: -j 1 -e 0.1 -q 20 -O 1 -a AGATCGGAAGAGC SRR389222_sub3.fastq.gz Processing reads on 1 core in single-end mode ... Finished in 1.57 s (20 µs/read; 3.06 M reads/minute). === Summary === Total reads processed: 80,000 Reads with adapters: 28,986 (36.2%) Reads written (passing filters): 80,000 (100.0%) Total basepairs processed: 2,880,000 bp Quality-trimmed: 17,739 bp (0.6%) Total written (filtered): 2,827,473 bp (98.2%) === Adapter 1 === Sequence: AGATCGGAAGAGC; Type: regular 3'; Length: 13; Trimmed: 28986 times No. of allowed errors: 1-9 bp: 0; 10-13 bp: 1 Bases preceding removed adapters: A: 27.0% C: 34.3% G: 3.8% T: 34.9% none/other: 0.0% Overview of removed sequences length count expect max.err error counts 1 25283 20000.0 0 25283 2 2467 5000.0 0 2467 3 688 1250.0 0 688 4 403 312.5 0 403 5 62 78.1 0 62 6 35 19.5 0 35 7 27 4.9 0 27 8 8 1.2 0 8 9 9 0.3 0 9 10 3 0.1 1 3 11 1 0.0 1 1 RUN STATISTICS FOR INPUT FILE: SRR389222_sub3.fastq.gz ============================================= 80000 sequences processed in total Sequences removed because they became shorter than the length cutoff of 20 bp: 123 (0.2%)