
Claude Skills by HolobiomicsLab
github.com/HolobiomicsLabUse when your metabolomics dataset contains compound identifiers in mixed
Use when after constructing candidate feature pair alignments and retention-time
Use when you have raw lipidomic and metabolomic data files generated
Use when when you have raw mass spectrometry peak intensity data (rows
Use when after computing a Jacobian matrix from covariance data in MInfer,
Use when after chromatographic peak detection in LC-MS data, when you
Use when you have an annotated list of metabolite compounds (with associated
Use when after loading spatial metabolomics data (from CSV, imzML, or
Use when when you have processed authentic standards with LC-MS in positive
Use when you have an experimental MS/MS spectrum (from MassBank or your
Use when you have LC–MS All-ion fragmentation chromatograms processed
Use when after features have been grouped into empirical compounds (empCpds)
Use when when beginning an untargeted LC-MS annotation workflow, before
Use when you have a negative-mode or positive-mode LC-MS feature table
Use when validating mwTab files deposited to the Metabolomics Workbench
Use when when you have separate quantification data (abundance matrix),
Use when metabolite assay tables contain missing values (NAs) that exceed
Use when when you have a metabolite measurement matrix with missing values
Use when when you have SWATH-MS raw data (mzML or vendor format) containing
'Use when when you have a list of input metabolites (e.g., from differential
Use when you have normalized metabolite abundance data from MetaboAnalyst
Use when after cluster-based filtering of KEGG candidates has produced
Use when after downloading GNPS molecular networking results (from GNPS1
Use when after computing a Jacobian matrix from metabolomics covariance
Use when after running CyProduct with a query molecule (SMILES or SDF)
Use when working with untransformed metabolomics count data (e.g., c57_nos2KO_mouse_countDF)
Use when after peak detection and statistical association or classification
Use when you have a list of metabolite names or identifiers detected
Use when after metabolite detection and normalization from Metabolomics
Use when after peak detection has identified significant m/z and retention
Use when you have a 1D ¹H NMR spectrum (as chemical shift vs. intensity)
Use when you have a SummarizedExperiment object containing NMR or MS
Use when you have paired microbiome (genus-level 16S or functional profiles)
Use when after training a neural network or regression model to predict
Use when you have a small-molecule query (acetaminophen, drug candidate,
Use when when you have a small-molecule structure (SMILES, MOL, or SDF
Use when after training and cross-validating a regression model (e.g.,
Use when after generating metabolite-disease correlation data and protein
Use when after metabolite annotation has been completed (level-1 confidence
Use when after feature extraction (Asari) has produced a full feature
Use when after drift correction has been applied to a MetaboSet object,
Use when you have executed mzExacto() on a preprocessed GC-MS dataset
Use when after training an ensemble model (MLP, GNN, or ESP) on spectral
Use when when you have generated a set of candidate metabolites for a
Use when when you have a directed metabolic network (digraph) and want
Use when your input is a SummarizedExperiment containing multiple batches
Use when you have extracted metabolite records from two or more public
Use when you have defined one or more proton NMR spectral regions-of-interest
Use when after executing retention-order prediction on a test set of
Use when when you have a feature-by-sample metabolomic matrix (finalData)