Merge redundant overlapping tools: isotope pattern trio → analyzer, MGF/mzML pair → single converter

.github/workflows/validate.yml

@@ -20,10 +20,12 @@ jobs:
         name: Detect changed tool directories
         run: |
           # Note: github.base_ref is only available on pull_request events
-          # Find all tool directories that changed in this PR
+          # Find all tool directories that changed in this PR, keeping only
+          # those that still exist (deleted tool dirs must not be linted/tested).
           CHANGED=$(git diff --name-only origin/${{ github.base_ref }}...HEAD -- 'tools/' \
             | grep -oP 'tools/[^/]+/[^/]+/[^/]+/' \
             | sort -u \
+            | while read -r dir; do [ -d "$dir" ] && echo "$dir"; done \
             | jq -R -s -c 'split("\n") | map(select(length > 0))')
 
           if [ "$CHANGED" = "[]" ] || [ -z "$CHANGED" ]; then
@@ -60,9 +62,11 @@ jobs:
         run: |
           DIRS='${{ needs.detect-changes.outputs.matrix }}'
           echo "$DIRS" | jq -r '.[]' | while read -r dir; do
-            echo "::group::ruff $dir"
-            /tmp/validate_venv/bin/python -m ruff check "$dir"
-            echo "::endgroup::"
+            if [ -d "$dir" ]; then
+              echo "::group::ruff $dir"
+              /tmp/validate_venv/bin/python -m ruff check "$dir"
+              echo "::endgroup::"
+            fi
           done
 
       - name: Test changed tools

README.md

@@ -1,6 +1,6 @@
 # Agentomics
 
-A growing collection of **123 standalone CLI tools** built with [pyopenms](https://pyopenms.readthedocs.io/) for proteomics and metabolomics workflows. Every tool in this repository fills a gap not covered by existing OpenMS TOPP tools — small, focused utilities that researchers need daily but typically write as throwaway scripts.
+A growing collection of **118 standalone CLI tools** built with [pyopenms](https://pyopenms.readthedocs.io/) for proteomics and metabolomics workflows. Every tool in this repository fills a gap not covered by existing OpenMS TOPP tools — small, focused utilities that researchers need daily but typically write as throwaway scripts.
 
 ## Why This Exists
 
@@ -155,12 +155,11 @@ Both `ruff` and `pytest` must pass with zero errors.
 | [`fasta_in_silico_digest_stats`](tools/proteomics/fasta_utils/fasta_in_silico_digest_stats/) | Digest a FASTA and report peptide-level statistics |
 | [`fasta_taxonomy_splitter`](tools/proteomics/fasta_utils/fasta_taxonomy_splitter/) | Split multi-organism FASTA by taxonomy from headers |
 
-#### File Conversion (8 tools)
+#### File Conversion (7 tools)
 
 | Tool | Description |
 |------|-------------|
-| [`mzml_to_mgf_converter`](tools/proteomics/file_conversion/mzml_to_mgf_converter/) | Convert MS2 spectra from mzML to MGF format |
-| [`mgf_to_mzml_converter`](tools/proteomics/file_conversion/mgf_to_mzml_converter/) | Convert MGF files to mzML format |
+| [`mgf_mzml_converter`](tools/proteomics/file_conversion/mgf_mzml_converter/) | Bidirectional MGF ↔ mzML converter with spectrum filtering (merged from `mgf_to_mzml_converter` + `mzml_to_mgf_converter`) |
 | [`consensus_map_to_matrix`](tools/proteomics/file_conversion/consensus_map_to_matrix/) | Convert consensusXML to flat quantification matrix |
 | [`idxml_to_tsv_exporter`](tools/proteomics/file_conversion/idxml_to_tsv_exporter/) | Export idXML identification results to flat TSV |
 | [`ms_data_to_csv_exporter`](tools/proteomics/file_conversion/ms_data_to_csv_exporter/) | Export mzML/featureXML data to CSV with column selection |
@@ -281,15 +280,13 @@ Both `ruff` and `pytest` must pass with zero errors.
 | [`mass_defect_filter`](tools/metabolomics/feature_processing/mass_defect_filter/) | Filter features by mass defect and Kendrick mass defect |
 | [`metabolite_feature_detection`](tools/metabolomics/feature_processing/metabolite_feature_detection/) | Metabolite feature detection from LC-MS data |
 
-#### Spectral Analysis (6 tools)
+#### Spectral Analysis (4 tools)
 
 | Tool | Description |
 |------|-------------|
 | [`spectral_entropy_scorer`](tools/metabolomics/spectral_analysis/spectral_entropy_scorer/) | Compute spectral entropy similarity (Li & Fiehn 2021) |
 | [`neutral_loss_scanner`](tools/metabolomics/spectral_analysis/neutral_loss_scanner/) | Scan MS2 spectra for characteristic neutral losses |
-| [`isotope_pattern_scorer`](tools/metabolomics/spectral_analysis/isotope_pattern_scorer/) | Score observed vs. theoretical isotope patterns |
-| [`isotope_pattern_matcher`](tools/metabolomics/spectral_analysis/isotope_pattern_matcher/) | Generate theoretical isotope distributions and cosine similarity scoring |
-| [`isotope_pattern_fit_scorer`](tools/metabolomics/spectral_analysis/isotope_pattern_fit_scorer/) | Score isotope pattern fit, detect Cl/Br from M+2 enhancement |
+| [`isotope_pattern_analyzer`](tools/metabolomics/spectral_analysis/isotope_pattern_analyzer/) | Generate theoretical isotope distributions, cosine similarity scoring, Da/ppm tolerance, Cl/Br halogen detection (merged from `isotope_pattern_matcher` + `isotope_pattern_scorer` + `isotope_pattern_fit_scorer`) |
 | [`massql_query_tool`](tools/metabolomics/spectral_analysis/massql_query_tool/) | Query mzML data using MassQL-like syntax |
 
 #### Compound Annotation (4 tools)

tools/metabolomics/spectral_analysis/isotope_pattern_analyzer/README.md

@@ -0,0 +1,83 @@
+# Isotope Pattern Analyzer
+
+Generate theoretical isotope distributions for molecular formulas, score observed
+isotope patterns using cosine similarity, and detect halogenation (Cl/Br).
+
+This tool consolidates `isotope_pattern_matcher`, `isotope_pattern_scorer`, and
+`isotope_pattern_fit_scorer` into a single, improved utility.
+
+## Features
+
+- Theoretical isotope pattern generation via pyopenms `CoarseIsotopePatternGenerator`
+- Cosine similarity scoring between observed and theoretical patterns
+- **Da or ppm m/z tolerance** — choose your preferred unit
+- Halogen (Cl/Br) detection from M+2 peak enhancement
+- JSON output with per-peak detail
+- Terminal bar-chart preview of the theoretical distribution
+- Optional numpy acceleration for cosine computation
+
+## Installation
+
+```bash
+pip install pyopenms
+```
+
+## CLI Usage
+
+```bash
+# Generate and display the isotope pattern for glucose
+python isotope_pattern_analyzer.py --formula C6H12O6
+
+# Score observed peaks against the formula (colon-separated format)
+python isotope_pattern_analyzer.py --formula C6H12O6 \
+    --observed "180.063:100,181.067:6.5,182.070:0.5" \
+    --output result.json
+
+# Use legacy comma-separated format (one --peaks flag per peak)
+python isotope_pattern_analyzer.py --formula C6H12O6 \
+    --peaks 180.063,100.0 --peaks 181.067,6.5 \
+    --output result.json
+
+# Use ppm tolerance
+python isotope_pattern_analyzer.py --formula C6H12O6 \
+    --observed "180.063:100,181.067:6.5" \
+    --tolerance 10 --tolerance-unit ppm
+
+# Detect halogenation (chlorinated compound example)
+python isotope_pattern_analyzer.py --formula C6H5Cl \
+    --observed "112.007:100,113.011:5.5,114.004:33.0" \
+    --output halogen_result.json
+```
+
+## Output JSON Structure
+
+```json
+{
+  "formula": "C6H12O6",
+  "cosine_similarity": 0.9987,
+  "n_peaks_compared": 3,
+  "tolerance": 0.05,
+  "tolerance_unit": "da",
+  "peaks": [
+    {"peak_index": 0, "obs_mz": 180.063, "theo_mz": 180.0634, "obs_intensity": 100.0, "theo_intensity": 100.0},
+    ...
+  ],
+  "theoretical_pattern": [...],
+  "halogen_detection": {
+    "m2_ratio_observed": 0.5,
+    "m2_ratio_theoretical": 0.42,
+    "m2_excess": 0.08,
+    "halogen_flag": false,
+    "possible_halogen": "none"
+  }
+}
+```
+
+## Halogen Detection Thresholds
+
+| M+2 excess above theoretical | Interpretation                  |
+|------------------------------|---------------------------------|
+| < 10 %                       | No halogenation detected        |
+| 10–20 %                      | Cl (weak signal)                |
+| 20–70 %                      | Cl                              |
+| > 70 %                       | Br                              |