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Python library for bioinformatics and scientific computing

Project description

jsrc

Python library for bioinformatics and scientific computing.

Installation

PyPI:

pip install jsrc

uv:

uv pip install jsrc

From source:

git clone https://github.com/imjiaoyuan/jsrc.git
cd jsrc
uv venv
uv sync --extra dev

Run jsrc --help to get started.

For detailed usage, see the Documentation.中文文档请参阅 文档

Quick Start

jsrc --help
jsrc <module> --help
jsrc <module> <subcommand> --help

Examples:

jsrc seq --help
jsrc analyze phylo --help
jsrc vision extract --help

Module Overview

module focus typical use
seq Sequence extraction, translation, QC, k-mer, sliding window jsrc seq extract ...
plot Gene/exon/chromosome/domain and other plots jsrc plot gene ...
analyze Phylogeny, motif, consensus, SNP/INDEL, QC jsrc analyze phylo ...
gs Genomic selection dataset build/split/train jsrc gs train ...
grn GRN conversion, centrality, local viewer jsrc grn net2json ...
vision Object extraction, morphology traits, EFD jsrc vision extract ...
job Background job submit/list/log/kill/history jsrc job submit "cmd"

Error Output Conventions

  • Input and validation failures are reported in unified format: Error: <message>.
  • Missing files, invalid parameters, and incompatible inputs follow the same style across subcommands.
  • Use --help on the target module/subcommand first when argument combinations are unclear.

A Glance of jsrc's Functions

vision module

jsrc vision extract -i test/leaf1.jpg -o test/efd --channel a --invert --save-mask
jsrc vision efd -i test/efd -o test/efd --harmonics 20

Contour extraction & EFD reconstruction (20 harmonics):

EFD coefficients (first 5 rows):

an,bn,cn,dn
 0.7004,  0.0127, -0.0412,  1.0018
-0.0100, -0.0083, -0.0400,  0.0293
 0.0948, -0.0055, -0.0285, -0.1134
 0.0085, -0.0702,  0.0777, -0.0099

Morphological traits:

jsrc vision traits -i test/leaf1.jpg --channel a --invert
trait value
area 461833.5
perimeter 3479.84
aspect_ratio 0.671
circularity 0.479
extent 0.535
solidity 0.837

grn module

Generate 1000-gene random network viewer with full-view mode (top 200 nodes):

jsrc grn net2json -i test/grn/network.tsv -o test/grn/json/grn.json -n test/grn/annotation.tsv -z test/grn/grn-viewer.zip -s

Centrality ranking (top 5):

jsrc grn centrality -i test/grn/network.tsv --top 5
rank node in_degree out_degree total_degree
1 GENE_0504 24.14 34.97 59.12
2 GENE_0785 26.37 29.51 55.88
3 GENE_0165 42.81 12.21 55.01
4 GENE_0394 14.82 33.04 47.86
5 GENE_0427 36.50 10.60 47.10

seq module

jsrc seq extract -fa test/seq/test.fa -gff test/seq/test.gff -ids test/seq/ids.txt -o test/seq/extracted.fa -feature gene -match ID

Extract sequences by gene ID from FASTA+GFF, rename via CSV map, run QC stats, k-mer counting, and sliding-window analysis.

QC: 2 sequences, 268 bp total, GC 56.7%, N50 160.

k-mer (k=3): top ATC (40), TCG (40), CGA (39).


analyze module

jsrc analyze msa_consensus -fa test/analyze/aln.fa --json
jsrc analyze snpindel -fa test/analyze/aln.fa
jsrc analyze motif -fa test/analyze/aln.fa -o test/analyze/motif_out -minw 3 -maxw 5 -nmotifs 3
jsrc analyze phylo -fa test/analyze/aln.fa -o test/analyze/tree.nwk
  • Consensus: ATGCTAGCTAGCTAGCTAGC, mean conservation 0.983
  • SNP: seq1 vs seq3 has 1 SNP (alignment score 19/20)
  • Motif (top): GCT (12), CTA (12), TAG (12)
  • Phylogeny: (seq1:0.00000,seq2:0.00000,seq3:0.05000)Inner1:0.00000;

job module

Submit, monitor, and inspect background jobs:

Note: RSS/process-state metrics are most complete on Linux (/proc). On macOS/other Unix, job still works with ps fallback but some metrics may be limited.

jsrc job submit "echo 'job module test' && sleep 1 && echo done" -N test-job
job_id	1
pid	90288
log	/home/user/.local/share/jsrc/job-logs/1.log
status	running
jsrc job ls --limit 5
job_id  status  pid    runtime  rss_mb  ...  command
------  ------  -----  -------  ------       ----------------------------------------------
1       exited  90288  4s       0.0         echo 'job module test' && sleep 1 && echo done
jsrc job logs 1
job module test
done

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