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)
| File | Size | Uploaded | |
|---|---|---|---|
| lrplots-0.7.0.tar.gz | 210.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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 |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.9
|
Release files / lrplots-0.7.0-py3-none-any.whl
| Download URL | lrplots-0.7.0-py3-none-any.whl |
|---|---|
| Size | 9.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.9
|