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.
/Users/lcozzuto/ooo/master_of_pores/mop_preprocess/work/a0/dc0b50f2d80e69102d9682227981ee
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) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
dRNA | 0.0M | 0.1Mb | 1424bp | 6389bp | 12bp | 1004.0bp | 625 | 16.5 | 16.9 | 330bp | 472bp | 13.1 | 91.4% | 0.0K | 0.0Mb | 0.0Mb |
Assigned counts
File name | Counts |
---|---|
dRNA | 2 |
Alignment QC
File name | Mapped reads | Map % | Bases | Bases % | Avg read length | Max read length | identity |
---|---|---|---|---|---|---|---|
dRNA_s.bam | 2 | 100.0% | 638 | 96.5% | 330 | 472 | 89.81% |
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 |
---|---|---|---|---|---|---|---|---|---|
dRNA | 0.0M | 0.1Mb | 1424bp | 6389bp | 12bp | 1004.0bp | 625 | 16.5 | 16.9 |
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) |
---|---|---|---|---|---|---|---|---|---|---|
dRNA | 330bp | 330bp | 472bp | 13.1 | 13.1 | 91.4% | 91.4% | 0.0K | 0.0Mb | 0.0Mb |
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.