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Filtering and trimming of Oxford Nanopore Sequencing data

Project description

# Nanofilt
Filtering and trimming of long read sequencing data.

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Filtering on quality and/or read length, and optional trimming after passing filters.
Reads from stdin, writes to stdout.

Intended to be used:
- directly after fastq extraction
- prior to mapping
- in a stream between extraction and mapping

See also [my post about NanoFilt on my blog Gigabase or gigabyte](
Due to [a discrepancy]( between calculated read quality and the quality as summarized by albacore this script takes since v1.1.0 optionally also a `--summary` argument. Using this argument with the sequencing_summary.txt file from albacore will do the filtering using the quality scores from the summary. It's also faster.


`pip install nanofilt`
`pip install nanofilt --upgrade`


`conda install -c bioconda nanofilt`

NanoFilt is written for Python 3.

### USAGE:
NanoFilt [-h] [-q QUALITY] [-l LENGTH] [--headcrop HEADCROP] [--tailcrop TAILCROP]

optional arguments:
-h, --help show this help message and exit
-s --summary SUMMARYFILE optional, the sequencing_summary file from albacore for extracting quality scores
-q, --quality QUALITY Filter on a minimum average read quality score
-l, --length LENGTH Filter on a minimum read length
--maxlength MAXLENGTH Filter on a maximum read length

--headcrop HEADCROP Trim n nucleotides from start of read
--tailcrop TAILCROP Trim n nucleotides from end of read
--minGC MINGC Sequences must have GC content >= to this. Float
between 0.0 and 1.0. Ignored if using summary file.
--maxGC MAXGC Sequences must have GC content <= to this. Float
between 0.0 and 1.0. Ignored if using summary file.

gunzip -c reads.fastq.gz | NanoFilt -q 10 -l 500 --headcrop 50 | minimap2 genome.fa - | samtools sort -O BAM -@24 -o alignment.bam -
gunzip -c reads.fastq.gz | NanoFilt -q 12 --headcrop 75 | gzip > trimmed-reads.fastq.gz
gunzip -c reads.fastq.gz | NanoFilt -q 10 | gzip > highQuality-reads.fastq.gz

I welcome all suggestions, bug reports, feature requests and contributions. Please leave an [issue]( or open a pull request. I will usually respond within a day, or rarely within a few days.

If you use this tool, please consider citing our [publication](

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