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longread_plots

A collection of plots for long read sequencing FastQ files from devices like Oxford Nanopore's MinION and PromethION.

Dependencies

pip install --user --upgrade pandas seaborn

Note that matplot lib >= 3.0.0 is needed. Python >= 3.5 is therfore recommended, otherwise plots might be corrupted.

Installation

From PyPi:

pip3 install --user lrplots

From the release tar.gz:

python3 setup.py install --user

Usage

With the pip3 installation it should be in your PATH and you should be able to just call:

lrplot example.fastq

If the command can't be found, pip3 installed it in a path that is not in your PATH variable. You can then find it with:

find ~ -name lrplot

or

find /usr/local -name lrplot

Then either add the containing directory to your PATH or just use the full path.

You can also call it like a script with python3 (or whatever your python3 is called):

python3 bin/lrplots example.fastq

Output

Metadata

Release files for lrplots 0.7.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for lrplots 0.7.0
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lrplots-0.7.0.tar.gz 210.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for lrplots 0.7.0
File Interpreter ABI Platform
lrplots-0.7.0-py3-none-any.whl Python 3 none any Details

Total release size: 219.1 kB

Release files / lrplots-0.7.0.tar.gz

Download URL lrplots-0.7.0.tar.gz
Size 210.0 kB
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Release files / lrplots-0.7.0-py3-none-any.whl

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Size 9.1 kB
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Uploaded via twine/4.0.2 CPython/3.10.9

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0.7.0 This release

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