mirna-toolkit 0.1.0

Python-native end-to-end toolkit for miRNA analysis

miRNA-Toolkit

miRNA-Toolkit is a Python-native library for end-to-end miRNA analysis, including preprocessing, alignment, quantification, target prediction, disease association, and visualization.

Install name: mirna-toolkit Import name: mirna_toolkit

Features

• I/O support for FASTQ, FASTA, BAM, and GTF/GFF-oriented workflows.
• Wrappers for FastQC, fastp, Bowtie, HISAT2, and STAR (small-RNA mode).
• Quantification and normalization (TPM, RPM, DESeq2-style size factors).
• Target prediction (seed match + RNAhybrid-style scoring + external connectors).
• Disease association integration (HMDD, miRCancer) and network export.
• Visualization utilities for interaction networks, heatmaps, volcano plots, and pathway enrichment plots.
• Optional ML utilities for classification, feature ranking, and explainability.
• End-to-end reproducible workflow runner (pipeline.run_end_to_end) and CLI (mirna-toolkit).
• Manifest-based batch workflow for multiple samples (batch.run_batch_workflow).
• Retry-aware HTTP connectors with configurable strict mode for robust integrations.

Installation

pip install mirna-toolkit

For local development:

pip install -e .

Optional extras:

pip install -e .[full,dev]

Quick Start

from mirna_toolkit import alignment, quantification, prediction, disease, visualization

bam_file = alignment.bowtie.align("sample.fastq", reference="mirbase.fa")
counts = quantification.counts.from_bam(bam_file, annotation="mirbase.gtf")
normalized = quantification.normalization.tpm(counts)

targets = prediction.targetscan_api.get_targets("hsa-miR-21")
assoc = disease.hmdd.get_associations("hsa-miR-21")

fig = visualization.networks.plot_mirna_targets("hsa-miR-21", targets)
fig.show()

End-to-End Pipeline

from mirna_toolkit.pipeline import PipelineConfig, run_end_to_end

config = PipelineConfig(
	fastq_path="sample.fastq",
	reference="mirbase_index",
	annotation="mirbase.gtf",
	output_dir="run_001",
	aligner="bowtie",
	normalization_method="tpm",
	run_qc=True,
	trim=True,
)

result = run_end_to_end(config, database_versions={"miRBase": "22.1", "TargetScan": "8.0"})
print(result.metadata_path)

CLI

mirna-toolkit --fastq sample.fastq --reference mirbase_index --annotation mirbase.gtf --output-dir run_001 --aligner bowtie --normalize tpm --run-qc --trim

Helpful CLI topics:

mirna-toolkit help
mirna-toolkit help run
mirna-toolkit help batch

Batch Workflow

Manifest example (samples.csv):

sample_id,fastq_path,reference,annotation,run_qc,trim
s1,s1.fastq,mirbase_index,mirbase.gtf,true,true
s2,s2.fastq,mirbase_index,mirbase.gtf,false,false

Run it with:

mirna-toolkit batch --manifest samples.csv --output-dir batch_runs

Reproducibility

Use mirna_toolkit.utils.versioning.DatabaseVersionTracker to record exact versions/releases of external databases used in analyses.

Status

This repository provides a production-ready scaffold with working core APIs and wrappers. External command wrappers require the corresponding tools (for example, bowtie, fastqc, fastp) to be installed and available on PATH.