Claude Skills by HolobiomicsLab

Use when you have a raw metabolomics intensity matrix with missing or

Use when when you have raw profile LC-MS data in .mzML format and need

Use when after drift correction and before missing value imputation when

Use when you have fitted an MB-PLS model on multi-assay LC-MS intensity

Use when you have generated a feature table via mzrtsim() with simulated

Use when you have a raw feature table (TSV/CSV) derived from LC-MS peak

Use when when you have a raw LC-MS peak table imported from vendor software

Use when when you have a feature intensity table (samples × compounds)

Use when you have mwTab-formatted files from the Metabolomics Workbench

Use when a Python-based metabolomics analysis package has been relocated

Use when you have a metabolomics matrix with metabolites as rows and

Use when your metabolomics dataset (LC/MS or GC/MS) contains missing

Use when your input is a raw metabolomics intensity matrix (compounds

Use when when you have raw LC-MS metabolomics data from multiple disease

Use when when you have cloned or accessed the Reverse_metabolomics_library_generation

Use when you have a log2-scaled metabolomics feature matrix in CSV format

Use when you have a raw metabolomics abundance table (e.g., LC/MS or

Use when raw metabolomics data matrices contain zero values or NA entries

Use when you have a matrix of Nightingale Health 1H-NMR metabolomics

Use when you have trained multiple machine learning classifiers (e.g.,

Use when when benchmarking or validating a pathway analysis method (such

Use when you have raw metabolomics intensity data (rows = compounds,

Use when you have completed NPP runs from one or more metabolomics tools

Use when you have a metabolomics dataset and want to perform pathway

Use when you have raw untargeted metabolomics data in mzML, mzXML, or

Use when when you have raw peak intensity matrices from metabolomics

Use when when preparing to process raw LC-HRMS metabolomics data (.mzML

Use when you have raw peak tables exported from a tandem mass spectrometry

Use when you have acquired raw SIMS (secondary ion mass spectrometry)

Use when after completing outlier detection, batch correction, and quality

Use when after batch correction of metabolomics data using pooled study

Use when you have a quantification table (rows = metabolite features,

Use when you have a MemoMatrix (sample-by-fingerprint matrix) from aligned

Use when after running a ViMMS Environment simulation with save_eval

Use when you have completed peak picking with two or more competing tools

Use when when developing or maintaining a multi-platform metabolomics

Use when when you have received Sciex Multiquant TXT export files from

Use when you have a Galaxy installation (specifically Galaxy Master branch

Use when when you have LC-MS/MS acquisitions in DDA mode and need to

Use when when you need to analyze a publicly archived lipidomics study

Use when when initializing a SmartPeak session and you have a workflow.csv

Use when you have raw Metabolon Excel workbooks (metabolon_v1.1_example.xlsx

Use when you have imported raw (un)targeted metabolite data (from Metabolon,

Use when when you have read LC-MS peak table data from Excel (or equivalent)

Use when you need to (1) quantify how many MetaCyc reactions can be represented

Use when you have chemical annotations (GNPS spectral library matches)

Use when after data merging and before applying batch correction algorithms

Use when when you have generated a feature abundance matrix from mzrtsim()

Use when you are curating metabolomics datasets with variable column

Use when you have curated structure-organism pairs from multiple sources