{"data":{"kind":"file","path":"README.md","version_id":"yi155pf8ar90wz06zc64z1i9","entry":{"name":"README.md","path":"README.md","is_directory":false,"size":2999,"modified_at":"2025-09-18T11:55:39.628000","content_hash":"49c9336d843c9cd5ac6c91cff8d53c51fd0f97bc82556852f82292804472341c"},"entries":[],"content":"# Biology and Bioinformatics Environment\n\nAdvanced environment for biological analysis, computational biology, and bioinformatics research.\n\n## Overview\n\nThis environment provides comprehensive tools for analyzing biological data including DNA/RNA sequences, protein structures, phylogenetic relationships, gene expression patterns, and metabolic pathways. It enables detailed biological analysis and computational biology research.\n\n## Tools\n\n### 1. DNA Sequence Analyzer\n- **Function**: `dna_sequence_analyzer`\n- **Purpose**: Analyze DNA sequences for biological properties\n- **Features**:\n  - Nucleotide composition analysis\n  - GC content calculation\n  - Biological motif identification\n  - Repeat sequence analysis\n  - Codon analysis\n\n### 2. Protein Structure Predictor\n- **Function**: `protein_structure_predictor`\n- **Purpose**: Predict protein structure and properties\n- **Features**:\n  - Secondary structure prediction\n  - Protein property calculation (hydrophobicity, charge, size)\n  - Domain identification\n  - Molecular weight estimation\n  - Amino acid composition analysis\n\n### 3. Phylogenetic Analyzer\n- **Function**: `phylogenetic_analyzer`\n- **Purpose**: Perform phylogenetic analysis on sequences\n- **Features**:\n  - Pairwise distance calculations\n  - Sequence alignment analysis\n  - Phylogenetic tree construction\n  - Evolutionary relationship analysis\n  - Distance matrix generation\n\n### 4. Gene Expression Analyzer\n- **Function**: `gene_expression_analyzer`\n- **Purpose**: Analyze gene expression data\n- **Features**:\n  - Differential expression analysis\n  - Fold change calculations\n  - Statistical significance testing\n  - Clustering analysis\n  - Pathway enrichment analysis\n\n### 5. Metabolic Pathway Analyzer\n- **Function**: `metabolic_pathway_analyzer`\n- **Purpose**: Analyze metabolic pathways and flux\n- **Features**:\n  - Flux distribution analysis\n  - Pathway regulation analysis\n  - Network property calculations\n  - Metabolic flow analysis\n  - Pathway optimization\n\n## Use Cases\n\n- **Genomics**: DNA sequence analysis and annotation\n- **Proteomics**: Protein structure and function analysis\n- **Transcriptomics**: Gene expression analysis\n- **Metabolomics**: Metabolic pathway analysis\n- **Evolutionary Biology**: Phylogenetic analysis\n- **Drug Discovery**: Target identification and analysis\n\n## Example Problems\n\n1. **DNA Sequence Analysis**: Analyze DNA sequences for composition and motifs\n2. **Protein Structure Prediction**: Predict protein secondary structure and properties\n3. **Phylogenetic Analysis**: Analyze evolutionary relationships between sequences\n4. **Gene Expression Analysis**: Analyze differential gene expression patterns\n5. **Metabolic Pathway Analysis**: Analyze metabolic pathway flux and regulation\n\n## Installation\n\n```bash\nprime env install alaminai/biology_bioinformatics\n```\n\n## Usage\n\n```bash\nvf-eval biology_bioinformatics -m gpt-4o-mini -n 5\n```\n\n## Requirements\n\n- Python 3.8+\n- NumPy\n- SciPy\n- BioPython\n- Pandas\n- Verifiers framework\n","encoding":"utf-8","truncated":false,"total_bytes":2999},"status":null}