MoP4 - pipeline
- Please cite
- Cozzuto L, Liu H, Pryszcz LP, Pulido TH, Delgado-Tejedor A, Ponomarenko J, Novoa EM. MasterOfPores: A Workflow for the Analysis of Oxford Nanopore Direct RNA Sequencing Datasets. Front Genet. 2020 Mar 17;11:211. doi: 10.3389/fgene.2020.00211
- And
- Cozzuto L, Delgado-Tejedor A, Hermoso Pulido T, Novoa EM, Ponomarenko J. Nanopore Direct RNA Sequencing Data Processing and Analysis Using MasterOfPores. N. Methods Mol Biol. 2023;2624:185-205. doi: 10.1007/978-1-0716-2962-8_13.
/nfs/scratch01/bi/master_of_pores/98/7e30a12d4cb8dc12c41fa177a01313
General Statistics
| Sample Name | Reads | Bases | Read N50 | Longest Read | Shortest Read | Mean Length | Median Length | Mean Qual | Median Qual | Median length | Read N50 | Median Qual | Median Identity | # Reads (K) | Total Bases (Mb) | Aligned Bases (Mb) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| A | 0.0M | 3.3Mb | 2463bp | 5421bp | 6bp | 1616.0bp | 2085 | 18.1 | 18.5 | 2156bp | 2463bp | 18.6 | 98.5% | 2.0K | 3.3Mb | 3.3Mb |
| m6A | 0.0M | 3.0Mb | 2201bp | 6248bp | 147bp | 1496.0bp | 1514 | 13.6 | 13.1 | 1511bp | 2200bp | 13.1 | 91.9% | 2.0K | 3.0Mb | 3.0Mb |
Alignment QC
| File name | Mapped reads | Map % | Bases | Bases % | Avg read length | Max read length | identity |
|---|---|---|---|---|---|---|---|
| A_s.bam | 2007 | 100.0% | 3262038 | 99.1% | 1639 | 5421 | 98.14% |
| m6A_s.bam | 1999 | 100.0% | 2946985 | 98.7% | 1494 | 6248 | 91.40% |
Assigned counts
| File name | Counts |
|---|---|
| A | 2006 |
| m6A | 1994 |
nanoq
Reports read quality and length from nanopore sequencing data.URL: https://github.com/nerdna/nanoqDOI: 10.21105/joss.02991
Nanoq Summary
Statistics from Nanoq reports
| Sample Name | Reads | Bases | Read N50 | Longest Read | Shortest Read | Mean Length | Median Length | Mean Qual | Median Qual |
|---|---|---|---|---|---|---|---|---|---|
| A | 0.0M | 3.3Mb | 2463bp | 5421bp | 6bp | 1616.0bp | 2085 | 18.1 | 18.5 |
| m6A | 0.0M | 3.0Mb | 2201bp | 6248bp | 147bp | 1496.0bp | 1514 | 13.6 | 13.1 |
Read quality
Read counts categorised by read quality (Phred score).
Sequencing machines assign each generated read a quality score using the Phred scale. The phred score represents the liklelyhood that a given read contains errors. High quality reads have a high score.
Read lengths
Read counts categorised by read length.
NanoStat
Reports various statistics for long read dataset in FASTQ, BAM, or albacore sequencing summary format (supports NanoPack; NanoPlot, NanoComp).URL: https://github.com/wdecoster/nanostat; https://github.com/wdecoster/nanoplotDOI: 10.1093/bioinformatics/bty149
Programs are part of the NanoPack family for summarising results of sequencing on Oxford Nanopore methods (MinION, PromethION etc.)Summary Statistics (Aligned)
| Sample Name | Median length | Mean length | Read N50 | Median Qual | Mean Qual | Median Identity | Mean Identity | # Reads (K) | Total Bases (Mb) | Aligned Bases (Mb) |
|---|---|---|---|---|---|---|---|---|---|---|
| A | 2156bp | 1640bp | 2463bp | 18.6 | 18.3 | 98.5% | 98.1% | 2.0K | 3.3Mb | 3.3Mb |
| m6A | 1511bp | 1492bp | 2200bp | 13.1 | 13.6 | 91.9% | 92.2% | 2.0K | 3.0Mb | 3.0Mb |
Reads by quality
Read counts categorised by read quality (Phred score).
Sequencing machines assign each generated read a quality score using the Phred scale. The phred score represents the liklelyhood that a given read contains errors. High quality reads have a high score.