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v0.30.0

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@Yenaled Yenaled released this 27 Oct 18:06

Credits to @BenjaminDEMAILLE

Implementation Summary: GitHub Issues #295 and #296

Overview

This implementation addresses two feature requests for kb_python:

  • Issue #295: Add output mode compatible with Read10X() in Seurat (spliced/unspliced separated as in CellRanger format)
  • Issue #296: Enable gzip compression of output files and optional cleanup of BUS files to reduce disk usage

Changes Made

1. New Command-Line Flags (main.py)

Added three new flags to the kb count command:

--cellranger

  • Purpose: Convert count matrices to CellRanger-compatible format
  • Auto-enabled features:
      - Gzip compression: Automatically compresses output matrices (can be disabled with --no-gzip)
      - CellRanger-style directories: For nac/lamanno workflows, automatically creates spliced/ and unspliced/ subdirectories
  • Files created: matrix.mtx.gz, barcodes.tsv.gz, genes.tsv.gz (or features.tsv.gz)
  • Usage: kb count --cellranger ... (gzip is automatic)
  • Disable gzip: kb count --cellranger --no-gzip ...

--gzip

  • Purpose: Manually enable gzip compression (not needed if using --cellranger)
  • Default: False (but auto-enabled with --cellranger)
  • Usage: kb count --gzip ... (without --cellranger)

--no-gzip

  • Purpose: Disable automatic gzip compression when using --cellranger
  • Default: False
  • Usage: kb count --cellranger --no-gzip ...

--delete-bus

  • Purpose: Delete intermediate BUS files after successful count to save disk space
  • Files deleted: All .bus files generated during processing
  • Default: False
  • Usage: kb count --delete-bus ...
  • Safety: Only deletes files after successful completion of count operation

CellRanger-Style Output Structure

When using --cellranger with nac/lamanno workflows, the output is automatically organized as:

counts_unfiltered/
  spliced/
    matrix.mtx.gz
    barcodes.tsv.gz
    genes.tsv.gz
  unspliced/
    matrix.mtx.gz
    barcodes.tsv.gz
    genes.tsv.gz
  cellranger_ambiguous/
    matrix.mtx.gz
    barcodes.tsv.gz
    genes.tsv.gz

This structure is compatible with Seurat's Read10X() function and works with both filtered and unfiltered outputs.

2. Function Updates

matrix_to_cellranger() (count.py)

  • New parameter: gzip: bool = False
  • Behavior:
      - When gzip=True, outputs .gz compressed versions of all files
      - Uses compress_gzip() from utils for matrix file compression
      - Uses open_as_text() for text files (barcodes, genes) to handle gzip automatically
  • Backward compatible: Default behavior unchanged

count() function (count.py)

  • New parameters:
      - gzip: bool = False
      - delete_bus: bool = False
  • Changes:
      - Passes gzip parameter to all matrix_to_cellranger() calls
      - Passes gzip parameter to filter_with_bustools()
      - Implements BUS file cleanup at end of function when delete_bus=True
      - Collects all BUS file paths from results and deletes them

count_nac() function (count.py)

  • New parameters:
      - gzip: bool = False
      - cellranger_style: bool = False
      - delete_bus: bool = False
  • Changes:
      - Passes gzip parameter to all matrix_to_cellranger() calls
      - Implements cellranger_style logic:
        - For processed matrices (index 0): creates spliced/ subdirectory
        - For unprocessed matrices (index 1): creates unspliced/ subdirectory
        - For ambiguous matrices: uses default naming
      - Works for both filtered and unfiltered outputs
      - Implements BUS file cleanup at end of function when delete_bus=True

filter_with_bustools() function (count.py)

  • New parameter: gzip: bool = False
  • Changes: Passes gzip parameter to matrix_to_cellranger() call

3. Integration in main.py

parse_count() function

  • Added logic to auto-enable gzip when --cellranger is used (unless --no-gzip is specified)
  • Auto-enables cellranger-style directory structure for nac/lamanno workflows when --cellranger is used
  • Passes appropriate parameters to count functions:
      - gzip = (args.cellranger and not args.no_gzip) or args.gzip
      - cellranger_style = args.cellranger (for count_nac)
      - delete_bus = args.delete_bus

Usage Examples

Example 1: Standard workflow with automatic gzip compression

kb count -i index.idx -g t2g.txt -x 10XV3 -o output/ \
  --cellranger \
  sample_R1.fastq.gz sample_R2.fastq.gz

Note: Gzip compression is now automatic! No need for --gzip flag.

Example 2: NAC workflow with automatic CellRanger-style output

kb count -i index.idx -g t2g.txt -c1 cdna_t2c.txt -c2 intron_t2c.txt \
  -x 10XV3 -o output/ --workflow=nac \
  --cellranger \
  sample_R1.fastq.gz sample_R2.fastq.gz

This automatically creates:

  • output/counts_unfiltered/spliced/ with spliced matrices (gzipped)
  • output/counts_unfiltered/unspliced/ with unspliced matrices (gzipped)

Example 3: Disable gzip if needed

kb count -i index.idx -g t2g.txt -x 10XV3 -o output/ \
  --cellranger --no-gzip \
  sample_R1.fastq.gz sample_R2.fastq.gz

Example 4: All features combined

kb count -i index.idx -g t2g.txt -c1 cdna_t2c.txt -c2 intron_t2c.txt \
  -x 10XV3 -o output/ --workflow=nac \
  --cellranger --delete-bus \
  sample_R1.fastq.gz sample_R2.fastq.gz

This automatically enables gzip and creates CellRanger-style directories!

Benefits

  1. Disk Space Savings:
       - Gzip compression reduces matrix file sizes by 70-90%
       - Automatically enabled with --cellranger flag
       - BUS file deletion frees up significant temporary storage
       - Particularly beneficial for large-scale processing pipelines

  2. Seurat Compatibility:
       - --cellranger automatically creates Seurat-compatible output
       - CellRanger-style directories created automatically for nac/lamanno workflows
       - Spliced/unspliced separation allows easy loading of separate assays
       - Compatible with existing R-based analysis workflows
       - No additional flags needed!

  3. Standard Compliance:
       - Gzipped outputs align with CellRanger format standards (enabled by default)
       - Scanpy and other tools natively support .gz files
       - No manual compression/decompression needed

  4. Simplified Usage:
       - Just use --cellranger and everything is configured automatically
       - Gzip compression: automatic
       - CellRanger-style directories (for nac/lamanno): automatic
       - Can disable gzip with --no-gzip if needed

Backward Compatibility

All changes are backward compatible:

  • New flags are optional (default: False)
  • Existing commands continue to work without modification
  • Default behavior unchanged when new flags not specified
  • Function signatures extended with optional parameters (defaults maintain old behavior)

Testing Recommendations

  1. Test gzip compression:
       - Verify .gz files are created
       - Verify compressed files can be read by Seurat/Scanpy
       - Compare file sizes before/after compression

  2. Test CellRanger-style directories:
       - Verify spliced/ and unspliced/ subdirectories are created
       - Verify matrices contain correct data
       - Test with Seurat's Read10X() function

  3. Test BUS file deletion:
       - Verify BUS files are deleted after successful run
       - Verify final matrices are still correct
       - Test that deletion doesn't occur if count fails

  4. Test combinations:
       - All flags together
       - Each flag independently
       - With filtered and unfiltered outputs

Files Modified

  1. /Users/benjamin/kb_python/kb_python/main.py
       - Added --cellranger, --gzip, --no-gzip, and --delete-bus command-line arguments
       - Updated parse_count() to auto-enable gzip and cellranger-style when --cellranger is used
       - Logic: use_gzip = (args.cellranger and not args.no_gzip) or args.gzip
       - Logic: use_cellranger_style = args.cellranger (for nac/lamanno)

  2. /Users/benjamin/kb_python/kb_python/count.py
       - Updated matrix_to_cellranger() with gzip support
       - Updated count() with gzip and delete_bus support
       - Updated count_nac() with gzip, cellranger_style, and delete_bus support
       - Updated filter_with_bustools() with gzip support
       - Added BUS file cleanup logic to count functions

Notes

  • Simplified workflow: --cellranger now automatically enables both gzip and cellranger-style directories
  • The cellranger-style flag has been removed as it's redundant (automatic with --cellranger)
  • Gzip compression uses existing compress_gzip() utility from ngs_tools
  • BUS file deletion only occurs after successful completion of the count operation
  • For smartseq3 technology, handles multiple BUS file suffixes correctly
  • Use --no-gzip with --cellranger if you need uncompressed outpu