nanoISO
nanoISO is a Python package for analyzing ONT cDNA sequencing data. It provides a set of modules for identifying new genes and isoforms
Table of Contents
- 1. nanoISO
- 2. Table of Contents
- 3. Overview
- 4. Requirements
- 5. nanoISO modules
- 6. Scripts
- 7. Docker
- 8. Conda Environment
- 9. Cite nanoISO
Overview
Requirements
- Python 3.8+
nanoISO modules
nanoISO gene
test
nohup python ./modifications.py -i ./treat.pass.fq.gz -s Treat.sam -b genes.bed -o test.treat.mod.bed > test.treat.mod.log 2>&1 &
nohup nanoISO detectMod -i ./treat.pass.fq.gz -s Treat.sam -b genes.bed -o test.treat.mod.detectMod.bed > test.treat.mod.detectMod.log 2>&1 &
nohup nanoISO detectMod -i ../input/LPS3/pass.fq.gz -s ../01_map_gene/LPS3_gene.sam -b ../reference/genes/genes.bed -o ./LPS3_modfi.bed &
Usage
nanoISO.py gene -i sample -f genome.cdna.fa -e 0.005 -o gene
nanoISO isoform
Usage
nanoISO.py isoform -i sample -f genome.cdna.fa -e 0.005 -o isoform
nanoISO m6A sites
Usage
nanoISO.py detectm6A -i sample -f genome.cdna.fa -e 0.005 -o m6A
nanoISO new mRNA
Usage
nanoISO.py detectnewmRNA -i sample -f genome.cdna.fa -e 0.005 -o newmRNA
Scripts
We provide a set of standalone scripts for 5EU detection and quantification.
detect5EU.py
This script detects 5' untranslated regions (5EU) from the ONT direct RNA sequencing data.
Usage
python detect5EU.py -i sample.fastq -o 5EU.bed
Docker
If the user has docker installed, the following command can be used to run the pipeline in a docker container:
docker run -v /path/to/data:/data -it nanoISO/nanoISO:latest /bin/bash
Conda Environment
If the user has conda installed, the following command can be used to create a conda environment for nanoISO:
- Install conda
- Create a new conda environment:
conda create -n nanoISO python=3.6 - Activate the environment:
conda activate nanoISO - Install the required packages:
conda install -c bioconda minimap2 samtools bedtools flair tombo mines - Install the required python packages:
pip install pandas numpy scipy sklearn matplotlib seaborn pysam - Clone the nanoISO repository:
git clone https://github.com/epibiotek/nanoISO.git - Run the pipeline:
python nanoISO/nanoISO.py gene -i sample -f genome.cdna.fa -e 0.005 -o gene
Cite nanoISO
If you use nanoISO in your research, please cite the following paper:
Metadata
Release files for nanoiso 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| nanoiso-0.1.0.tar.gz | 5.6 kB | Without provenance | Details for nanoiso-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| nanoiso-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for nanoiso-0.1.0-py3-none-any.whl |
Total release size: 12.9 kB
Release files / nanoiso-0.1.0.tar.gz
| Download URL | nanoiso-0.1.0.tar.gz |
|---|---|
| Size | 5.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b2860bddf4d0d9c63ff4a6151bb5940901e553254b75ac33ecd758442ef67f0b
|
|
BLAKE2b-256 checksum How to use checksums |
158101a3b5381c839ed8244be7d8b4f36ec5af19f98b8c051960059299e74d6e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.0.1 CPython/3.12.8 Linux/5.15.0-134-generic
|
Release files / nanoiso-0.1.0-py3-none-any.whl
| Download URL | nanoiso-0.1.0-py3-none-any.whl |
|---|---|
| Size | 7.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3c577e32c5930cbc654925752c9f16451c5e5ab8ba8630fd7c05adecb7b72b8a
|
|
BLAKE2b-256 checksum How to use checksums |
5f4cfce5a244e1d49d65e2a6a37704953463efac4990ee9cf9eb0f7f7659a2c4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.0.1 CPython/3.12.8 Linux/5.15.0-134-generic
|
Security for nanoiso 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.