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Merge pull request #68 from seqeralabs/seqera-ai/20251128-210135-fix-channel-grouping-output-structure
Fix channel grouping and restructure output directories
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CHANNEL_AND_OUTPUT_FIXES.md

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# Channel Grouping and Output Restructuring Fixes
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## Summary of Changes
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This document describes the fixes applied to ensure:
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1. **All budget designs from Boltzgen get processed by ipSAE and Prodigy**
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2. **Restructured output directories** for clearer organization
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## Problems Identified
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### 1. Channel Grouping Issue
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**Problem**: Not all budget designs from Boltzgen were being processed by ipSAE and Prodigy.
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**Root Cause**: The `budget_design_cifs` output in `boltzgen_run.nf` was using the wrong glob pattern:
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- Old: `${meta.id}_output/final_ranked_designs/final_*_designs/*.cif`
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- This pattern tried to match nested subdirectories with wildcards, which doesn't reliably capture all files
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**Solution**: Changed to use the correct directory where Boltzgen places ALL budget designs:
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- New: `${meta.id}_output/intermediate_designs_inverse_folded/*.cif`
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- This directory contains exactly the budget designs (e.g., if budget=2, there are 2 CIF files)
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- Similarly updated NPZ files: `${meta.id}_output/intermediate_designs_inverse_folded/*.npz`
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### 2. Output Structure Issue
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**Problem**: Output directories were inconsistent and unclear:
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- Boltzgen outputs went to: `{sample_id}/`
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- ipSAE outputs went to: `{sample_id}/ipsae_scores/`
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- Prodigy outputs went to: `{parent_id}/prodigy/`
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- Boltz2 outputs went to: `{parent_id}/boltz2/`
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This made it hard to see which results belonged to which design row.
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**Solution**: Restructured all outputs to use a consistent parent folder structure:
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```
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outdir/
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└── {sample_id}/ # Parent folder for each design row from samplesheet
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├── boltzgen/ # Boltzgen results
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├── ipsae/ # ipSAE scores
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├── prodigy/ # Prodigy results
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├── proteinmpnn/ # ProteinMPNN results (if enabled)
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├── boltz2/ # Boltz2 results (if enabled)
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└── foldseek/ # Foldseek results (if enabled)
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```
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## Files Modified
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### 1. `modules/local/boltzgen_run.nf`
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**Changes**:
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- Fixed `budget_design_cifs` output glob pattern to use `intermediate_designs_inverse_folded/*.cif`
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- Fixed `budget_design_npz` output glob pattern to use `intermediate_designs_inverse_folded/*.npz`
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- Changed publishDir from `${params.outdir}/${meta.id}` to `${params.outdir}/${meta.id}/boltzgen`
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**Impact**:
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- Ensures ALL budget designs are captured and passed to downstream processes
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- Organizes Boltzgen outputs into a dedicated subfolder
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### 2. `modules/local/ipsae_calculate.nf`
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**Changes**:
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- Changed publishDir from `${params.outdir}/${meta.id}/ipsae_scores` to `${params.outdir}/${meta.parent_id ?: meta.id}/ipsae`
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- Added comment explaining parent_id usage
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**Impact**:
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- ipSAE results now go into the parent design folder
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- Consistent naming with other tools (ipsae instead of ipsae_scores)
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### 3. `modules/local/prodigy_predict.nf`
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**Changes**:
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- Already using `${params.outdir}/${meta.parent_id ?: meta.id}/prodigy`
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- No changes needed
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### 4. `modules/local/proteinmpnn_optimize.nf`
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**Changes**:
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- Changed publishDir from `${params.outdir}/${meta.id}/proteinmpnn` to `${params.outdir}/${meta.parent_id ?: meta.id}/proteinmpnn`
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- Added comment explaining parent_id usage
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**Impact**:
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- ProteinMPNN results now go into the parent design folder
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### 5. `modules/local/boltz2_refold.nf`
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**Changes**:
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- Updated comment for clarity
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- Already using `${params.outdir}/${meta.parent_id ?: meta.id}/boltz2`
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- Added fallback to meta.id if parent_id is not set
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### 6. `modules/local/foldseek_search.nf`
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**Changes**:
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- Already using `${params.outdir}/${meta.parent_id ?: meta.id}/foldseek`
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- No changes needed
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### 7. `modules/local/consolidate_metrics.nf`
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**Changes**:
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- Updated `ipsae_pattern` from `**/ipsae_scores/*` to `**/ipsae/*`
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- This ensures the consolidation script finds ipSAE results in the new location
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## How the Parallelization Works
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### Budget Designs Flow
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1. **Boltzgen** generates N designs based on `budget` parameter (e.g., budget=2 → 2 designs)
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2. **Output channel** `budget_design_cifs` emits: `[meta, [design_1.cif, design_2.cif]]`
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3. **flatMap** in workflow creates individual tasks:
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- Task 1: `[meta1, design_1.cif]` → ipSAE
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- Task 2: `[meta2, design_1.cif]` → Prodigy
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- Task 3: `[meta1, design_2.cif]` → ipSAE
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- Task 4: `[meta2, design_2.cif]` → Prodigy
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### ProteinMPNN + Boltz2 Flow
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1. **ProteinMPNN** generates M sequences per budget design (e.g., 8 sequences × 2 designs = 16 sequences)
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2. **Split sequences** creates individual FASTA files (16 files)
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3. **Boltz2** refolds each sequence (16 parallel tasks)
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4. **ipSAE and Prodigy** run on each Boltz2 output (32 parallel tasks)
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## Testing Recommendations
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To verify these changes work correctly:
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1. **Test with budget=2**:
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```bash
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nextflow run main.nf --input samplesheet.csv --budget 2 --run_ipsae --run_prodigy
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```
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**Expected results**:
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- 2 ipSAE tasks per design (2 × N designs)
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- 2 Prodigy tasks per design (2 × N designs)
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2. **Check output structure**:
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```bash
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tree results/
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```
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**Expected structure**:
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```
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results/
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├── sample1/
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│ ├── boltzgen/
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│ │ └── sample1_output/
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│ ├── ipsae/
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│ │ ├── sample1_design1_10_10.txt
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│ │ └── sample1_design2_10_10.txt
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│ └── prodigy/
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│ ├── sample1_design1_prodigy_summary.csv
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│ └── sample1_design2_prodigy_summary.csv
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└── sample2/
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└── ...
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```
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3. **Verify ipSAE/Prodigy counts**:
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- Count files in each sample's ipsae folder: should equal budget value
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- Count files in each sample's prodigy folder: should equal budget value
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- If ProteinMPNN+Boltz2 enabled: should also have results for each refolded sequence
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## Benefits
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### 1. Complete Analysis Coverage
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- Every budget design now gets scored by ipSAE and Prodigy
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- No designs are skipped or missed
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- Parallel processing ensures fast execution
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### 2. Clear Organization
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- Each sample from the samplesheet has its own parent folder
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- Easy to see all results for a specific design
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- Tool-specific subfolders make it clear which analysis generated which files
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### 3. Scalability
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- Works with any budget value (1, 2, 10, etc.)
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- Handles variable numbers of ProteinMPNN sequences
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- Properly parallelizes across all designs and sequences
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## Migration Notes
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If you have existing results with the old structure, you can reorganize them:
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```bash
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# Example script to reorganize old results
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cd results/
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for sample in */; do
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sample_name=${sample%/}
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# Move Boltzgen outputs
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if [ -d "$sample_name/${sample_name}_output" ]; then
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mkdir -p "$sample_name/boltzgen"
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mv "$sample_name/${sample_name}_output" "$sample_name/boltzgen/"
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fi
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# Rename ipsae_scores to ipsae
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if [ -d "$sample_name/ipsae_scores" ]; then
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mv "$sample_name/ipsae_scores" "$sample_name/ipsae"
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fi
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done
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```
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## Additional Notes
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- The `meta.parent_id` field tracks the original sample_id from the samplesheet
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- Modules use `${meta.parent_id ?: meta.id}` as a fallback for compatibility
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- The consolidation module was updated to find files in the new ipsae path
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- No changes were needed to the actual workflow logic in `workflows/protein_design.nf`
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---
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**Date**: 2025-11-28
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**Author**: Seqera AI
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**Status**: Implemented and Ready for Testing

modules/local/boltz2_refold.nf

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@@ -17,8 +17,9 @@ process BOLTZ2_REFOLD {
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tag "${meta.id}"
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label 'process_high_gpu'
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// Publish results
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publishDir "${params.outdir}/${meta.parent_id}/boltz2", mode: params.publish_dir_mode
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// Publish results - use parent_id to group by original design
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// meta.parent_id already points to the original sample_id from the samplesheet
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publishDir "${params.outdir}/${meta.parent_id ?: meta.id}/boltz2", mode: params.publish_dir_mode
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container 'giosbiostructures/boltz2:latest'
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modules/local/boltzgen_run.nf

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label 'process_high_gpu'
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// Publish results
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publishDir "${params.outdir}/${meta.id}", mode: params.publish_dir_mode, saveAs: { filename -> filename }
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publishDir "${params.outdir}/${meta.id}/boltzgen", mode: params.publish_dir_mode, saveAs: { filename -> filename }
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container 'cr.seqera.io/scidev/boltzgen:0.1.5'
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tuple val(meta), path("${meta.id}_output/intermediate_designs/*.npz"), optional: true, emit: intermediate_npz
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// Intermediate inverse folded designs (all budget designs - this is what we want for IPSAE/PRODIGY)
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tuple val(meta), path("${meta.id}_output/final_ranked_designs/final_*_designs/*.cif"), optional: true, emit: budget_design_cifs
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// Collect both CIF files from final_ranked_designs subdirectories AND from intermediate_designs_inverse_folded
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tuple val(meta), path("${meta.id}_output/intermediate_designs_inverse_folded/*.cif"), optional: true, emit: budget_design_cifs
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tuple val(meta), path("${meta.id}_output/intermediate_designs_inverse_folded/*.npz"), optional: true, emit: budget_design_npz
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// Specific intermediate outputs: binder by itself and refolded complex

modules/local/consolidate_metrics.nf

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script:
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def top_n = params.report_top_n ?: 10
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def ipsae_pattern = params.ipsae_pae_cutoff && params.ipsae_dist_cutoff ?
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"**/ipsae_scores/*_${params.ipsae_pae_cutoff}_${params.ipsae_dist_cutoff}.txt" :
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"**/ipsae_scores/*_10_10.txt"
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"**/ipsae/*_${params.ipsae_pae_cutoff}_${params.ipsae_dist_cutoff}.txt" :
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"**/ipsae/*_10_10.txt"
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def prodigy_pattern = "**/prodigy/*_prodigy_summary.csv"
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// Convert to absolute path if relative

modules/local/ipsae_calculate.nf

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tag "${meta.id}"
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label 'process_low'
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// Publish results
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publishDir "${params.outdir}/${meta.id}/ipsae_scores", mode: params.publish_dir_mode, saveAs: { filename -> filename }
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// Publish results - use parent_id to group by original design
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publishDir "${params.outdir}/${meta.parent_id ?: meta.id}/ipsae", mode: params.publish_dir_mode, saveAs: { filename -> filename }
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container 'community.wave.seqera.io/library/numpy:2.3.5--f8d2712d76b3e3ce'
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modules/local/proteinmpnn_optimize.nf

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tag "${meta.id}"
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label 'process_medium'
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// Publish results
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publishDir "${params.outdir}/${meta.id}/proteinmpnn", mode: params.publish_dir_mode
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// Publish results - use parent_id to group by original design
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publishDir "${params.outdir}/${meta.parent_id ?: meta.id}/proteinmpnn", mode: params.publish_dir_mode
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container 'cr.seqera.io/scidev/proteinmpnn:1.0.1'
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