Parse GTF files with Polars
Project description
gtf-polars
Parse GTF files with Polars
Implements a memory-efficient GTF parser that stays fully lazy until .collect() is called. For more information on Polars Lazy API, see this link
Scripts
scripts/subset_gtf_feature.py
Filters a GTF file to keep only rows matching one or more feature types (e.g. gene, transcript, exon) and writes the result as a tab-separated GTF file.
python scripts/subset_gtf_feature.py gencode.v39.annotation.gtf \
--feature gene transcript \
--output subset.gtf
| Argument | Description |
|---|---|
gtf_file |
Path to the input GTF or gzipped GTF file |
--feature |
One or more feature types to keep |
--output |
Output path (default: subset.gtf) |
scripts/transcript_to_gene.py
Builds a transcript-to-gene mapping CSV from a GTF file by extracting transcript_id, gene_id, and gene_name from transcript rows. Useful for downstream tools (e.g. alevin, tximeta) that require a tx2gene table.
python scripts/transcript_to_gene.py isoseq.gtf --output transcript_to_gene.csv
| Argument | Description |
|---|---|
gtf_file |
Path to the input GTF file |
--output |
Output CSV path (default: transcript_to_gene.csv) |
Library usage
from gtf_polars import parse_gtf
import polars as pl
lf = parse_gtf("gencode.v39.annotation.sorted.gtf", attributes_to_extract=["gene_id", "gene_name"])
df = (lf.filter(pl.col("feature") == 'transcript').select(['seqname', 'start','end','gene_id', 'gene_name']).collect())
df.head()
shape: (5, 5)
┌─────────┬───────┬───────┬───────────────────┬─────────────┐
│ seqname ┆ start ┆ end ┆ gene_id ┆ gene_name │
│ --- ┆ --- ┆ --- ┆ --- ┆ --- │
│ str ┆ i64 ┆ i64 ┆ str ┆ str │
╞═════════╪═══════╪═══════╪═══════════════════╪═════════════╡
│ chr1 ┆ 11869 ┆ 14409 ┆ ENSG00000223972.5 ┆ DDX11L1 │
│ chr1 ┆ 12010 ┆ 13670 ┆ ENSG00000223972.5 ┆ DDX11L1 │
│ chr1 ┆ 14404 ┆ 29570 ┆ ENSG00000227232.5 ┆ WASH7P │
│ chr1 ┆ 17369 ┆ 17436 ┆ ENSG00000278267.1 ┆ MIR6859-1 │
│ chr1 ┆ 29554 ┆ 31097 ┆ ENSG00000243485.5 ┆ MIR1302-2HG │
└─────────┴───────┴───────┴───────────────────┴─────────────┘
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