A modular tool to aggregate results from bioinformatics analyses across many samples into a single report.
Report generated on 2018-01-29, 07:24 based on data in:
/home/sam/data/geoduck_illumina/trimmed
General Statistics
Showing 36/36 rows and 1/1 columns.| Sample Name | % Trimmed |
|---|---|
| AD002_S9_L001_R1_001 | 23.3% |
| AD002_S9_L001_R2_001 | 20.4% |
| AD002_S9_L002_R1_001 | 21.6% |
| AD002_S9_L002_R2_001 | 18.2% |
| NR005_S4_L001_R1_001 | 0.5% |
| NR005_S4_L001_R2_001 | 0.9% |
| NR005_S4_L002_R1_001 | 0.6% |
| NR005_S4_L002_R2_001 | 0.9% |
| NR006_S3_L001_R1_001 | 0.5% |
| NR006_S3_L001_R2_001 | 1.1% |
| NR006_S3_L002_R1_001 | 0.5% |
| NR006_S3_L002_R2_001 | 1.2% |
| NR012_S1_L001_R1_001 | 19.6% |
| NR012_S1_L001_R2_001 | 17.3% |
| NR012_S1_L002_R1_001 | 19.1% |
| NR012_S1_L002_R2_001 | 16.5% |
| NR013_AD013_S2_L001_R1_001 | 20.1% |
| NR013_AD013_S2_L001_R2_001 | 17.5% |
| NR013_AD013_S2_L002_R1_001 | 18.8% |
| NR013_AD013_S2_L002_R2_001 | 15.9% |
| NR014_AD014_S5_L001_R1_001 | 26.5% |
| NR014_AD014_S5_L001_R2_001 | 23.4% |
| NR014_AD014_S5_L002_R1_001 | 24.6% |
| NR014_AD014_S5_L002_R2_001 | 21.4% |
| NR015_AD015_S6_L001_R1_001 | 24.6% |
| NR015_AD015_S6_L001_R2_001 | 21.7% |
| NR015_AD015_S6_L002_R1_001 | 23.0% |
| NR015_AD015_S6_L002_R2_001 | 20.2% |
| NR019_S7_L001_R1_001 | 13.0% |
| NR019_S7_L001_R2_001 | 14.3% |
| NR019_S7_L002_R1_001 | 13.5% |
| NR019_S7_L002_R2_001 | 16.0% |
| NR021_S8_L001_R1_001 | 2.2% |
| NR021_S8_L001_R2_001 | 2.2% |
| NR021_S8_L002_R1_001 | 2.5% |
| NR021_S8_L002_R2_001 | 2.5% |
Cutadapt
Cutadapt is a tool to find and remove adapter sequences, primers, poly-Atails and other types of unwanted sequence from your high-throughput sequencing reads.
This plot shows the number of reads with certain lengths of adapter trimmed. Obs/Exp shows the raw counts divided by the number expected due to sequencing errors. A defined peak may be related to adapter length. See the cutadapt documentation for more information on how these numbers are generated.
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