Compound Discoverer routing skill for metabolomics and lipidomics LC-MS/MS data processing and compound identification using Thermo Fisher Scientific Compound Discoverer software. Use this skill when
Use with AI
Install the MCP server or CLI to instantly fetch Compound Discoverer documentation:
Install command
claude mcp add biocontext7 -- npx @biocontext7/mcpOr share this page: biocontext7.com/tools/compound-discoverer
xcms preprocesses LC-MS and GC-MS data in Bioconductor workflows. Use it for peak detection, retention-time alignment, feature grouping, and gap-filling when you need reproducible feature-by-sample in
2 shared topics • 1 shared operation
Use when working with GuacaMol — the benchmarking suite for de novo molecular generation — to evaluate generative models for drug-like molecules. Assesses distribution-learning (17 benchmarks: validit
1 shared topic • 2 shared operations
Use when performing GWAS fine-mapping with PAINTOR (Probabilistic Annotation INTegratOR). Computes posterior inclusion probabilities (PIPs) for causal variants by integrating summary statistics (Z-sco
1 shared topic • 2 shared operations
Use when working with PolyFun — functionally-informed polygenic fine-mapping from GWAS summary statistics. Computes per-SNP heritability priors using S-LDSC with functional annotations, then runs SuSi
1 shared topic • 2 shared operations
vt — C++ command-line variant tool set for manipulating VCF files. Provides variant normalization (left-alignment and trimming), multiallelic decomposition, VCF summary statistics (peek), annotation,
1 shared topic • 2 shared operations