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README.md

@@ -7,10 +7,10 @@ license: mit
 > **A growing benchmark for evaluating LLM agents on complex bioinformatics workflows.**
 
 [![Dataset on HF](https://img.shields.io/badge/Dataset-HuggingFace-yellow)](https://huggingface.co/datasets/lingzhi227/Extended-BioAgentBench)
-[![Tasks](https://img.shields.io/badge/Tasks-33-blue)]()
+[![Tasks](https://img.shields.io/badge/Tasks-34-blue)]()
 [![Based on](https://img.shields.io/badge/Based%20on-BioAgentBench-green)](https://github.com/bioagent-bench/bioagent-bench)
 
-Building on [BioAgentBench](https://arxiv.org/abs/2601.21800) (10 tasks), this benchmark adds **33 new tasks** that test LLM agents on increasingly complex, multi-tool bioinformatics pipelines. Tasks span 6 domains and range from simple linear workflows to depth-8 diamond DAGs with 16+ CLI tools.
+Building on [BioAgentBench](https://arxiv.org/abs/2601.21800) (10 tasks), this benchmark adds **34 new tasks** that test LLM agents on increasingly complex, multi-tool bioinformatics pipelines. Tasks span 6 domains and range from simple linear workflows to depth-8 diamond DAGs with 16+ CLI tools.
 
 **This benchmark is actively growing** — new tasks are added continuously to cover more domains, increase complexity, and push the boundaries of what AI agents can do in bioinformatics.
 
@@ -21,7 +21,7 @@ Building on [BioAgentBench](https://arxiv.org/abs/2601.21800) (10 tasks), this b
 - **Domain-specific traps**: Tasks include steps where default parameters silently produce wrong results (e.g., Tn5 shift correction in ATAC-seq, Medaka model selection for Nanopore)
 - **Real public data**: Every task uses published datasets with ground truth generated by validated reference pipelines
 
-## Tasks (33 total)
+## Tasks (34 total)
 
 | # | Task ID | Name |
 |---|---------|------|
@@ -58,6 +58,7 @@ Building on [BioAgentBench](https://arxiv.org/abs/2601.21800) (10 tasks), this b
 | 41 | `rna-fusion` | RNA Fusion Detection from RNA-seq |
 | 42 | `spatial-transcriptomics` | Spatial Transcriptomics: Visium FFPE Brain Cancer Analy |
 | 43 | `taxonomic-profiling` | Multi-classifier Taxonomic Profiling of Metagenomic Rea |
+| 44 | `lcms-metabolomics` | LC-MS Untargeted Metabolomics: Urine Feature Discovery |
 
 ## Quick start