Claude Skills by HolobiomicsLab

Use when when you have individual pairwise scores (e.g., between BGCs

Use when you have computed pairwise similarity or mass difference scores

Use when after fitting a Multi-Block PLS (MB-PLS) discriminant or regression

Use when you have a feature table from LC- or GC-HRMS data (either detected

Use when apply mean-centering when you have a feature intensity table

Use when after importing imzML or vendor-specific MSI data into napari

Use when you have aligned feature tables (CSV format) with corresponding

Use when you have generated one or more MemoMatrix objects (MS2 fingerprint

Use when you have an MSI intensity matrix (msimat object) and an annotated

Use when initializing a Dataset object in NMRFx and must decide which

Use when when designing or optimizing backends that handle large MS datasets

Use when when you have a working base MPNN implementation (e.g., chemprop)

Use when when you have molecular input data (SMILES strings or graph

Use when you have a baseline GNN model for predicting a continuous molecular

Use when when you have tabulated results (p-value, fold-change, study

Use when after computing a weighted meta-analysis combining p-values,

Use when you have two peak-picked, conventionally aligned untargeted

Use when you have a raw peak-picked untargeted LC-MS dataframe with columns

Use when you have Nightingale Health 1H-NMR metabolomics data (feature

Use when when processing data with available MS2 spectra (DDA acquisition)

Use when when you have reconstructed metabolic networks from two or more

Use when you have consensus metabolic reconstructions for all members

Use when you have a raw or extracted peak feature table (CSV or tabular

Use when after batch effect removal and sample integration, when you

Use when you have draft metabolic reconstructions in SBML or standard

Use when when you have a generic constraint-based metabolic model, RNA-seq

Use when you have a generic constraint-based metabolic model (SBML format)

Use when you have generated consensus metabolic reconstructions for multiple

Use when you have consensus metabolic reconstructions in SBML or JSON

Use when you have multiple draft metabolic reconstructions (in JSON,

'Use when after you have constructed metabolic correlation modules via

Use when after completing a Pickaxe reaction network expansion across

Use when when building a comprehensive chemical knowledge base for mass

Use when when you have an untargeted metabolomics feature table (m/z

Use when you have an untargeted metabolomics feature table (with m/z,

Use when you have selected two organisms (by KEGG code, e.

Use when you have matched multiomics data (genomics, epigenomics, transcriptomics,

Use when when you have reconstructed metabolic networks for one or more

Use when when you have paired NMR metabolite measurements and corresponding

Use when you have a ranked list of metabolite identifiers (PubChemCIDs,

Use when you have integrated transcriptomics, intracellular metabolomics,

Use when when you have computed Reaction Activity Scores (RAS) from transcriptomics

Use when you have a MetaboLights dataset identifier (e.g., MTBLS1124)

Use when when you have run CypReact predictions on a molecular dataset

Use when you have a raw LCMS nontargeted metabolomics abundance table

'Use when when you have multiple batches of metabolomics data in SummarizedExperiment

Use when you have intracellular metabolomics abundance data (measured

Use when you have normalized peak intensities using MetaboDirect's data

Use when after loading a raw metabolite abundance table (rows=metabolites,

Use when you have a metabolomics featuredata matrix with known batch