
Claude Skills by HolobiomicsLab
github.com/HolobiomicsLabUse when augmenting mass spectrometry ion images in ISO mode (isotope
Use when when you need to create synthetic noisy MS/MS spectra from clean
Use when processing raw MS intensity tables from long measurement sequences
Use when you have an MS/MS peak list and need to remove electronic noise—specifically
Use when when working with raw or filtered MsmsSpectrum objects where
Use when after noise reduction when working with imported imzML MSI data
Use when you have processed LC-MS data (mzML or vendor format) and need
Use when when you have loaded aligned peak data (from a preceding molecular
Use when you have loaded a raw or partially processed MsmsSpectrum object
Use when your lipidomics experiment includes spiked internal lipid standards
Use when you have raw mass spectrometry intensity measurements from sample
Use when after peak recognition has identified features (m/z and retention
Use when you have extracted mass tracks (EICs) from multiple LC-MS samples
Use when after applying batch correction (e.g., via pycombat) to a multi-batch
Use when after acquiring a PRM experiment on a Thermo Fisher Orbitrap
Use when after instantiating a specXplore dashboard session layer with
Use when you have NMR metabolomics measurements paired with pre-analytical
Use when when you have a web-based visualization of aligned mass spectrometry
Use when you have omics statistical results (p-values, effect sizes,
Use when your mass spectrometry DataFrame contains m/z, retention time
Use when when you have extracted ion chromatograms (XICs), ion mobilograms
Use when after structural clustering (isotopologue grouping, adduct detection,
Use when when you have a high-resolution mass spectrometry dataset with
Use when you have mass spectrometry data (chromatograms, spectra, peak
Use when after LC-MS data has been converted to mzML format and processed
Use when when you have loaded extracted ion chromatogram traces (via
Use when you have resolved USI (Unified Spectrum Identifier) spectrum
Use when after normalizing a featuredata matrix (samples × metabolites),
Use when you have loaded m/z and intensity arrays from an MZA file (via
Use when when you have mass spectrometry data in a Pandas DataFrame with
Use when you have validated omics data loaded into R (expression matrices,
Use when after loading a LA-ICP-MS image into pew², you need to isolate
Use when when you have computed PCA coordinates from chemical annotation
Use when after msFeaST pipeline execution has produced a dashboard_data.json
'Use when after automated peak detection has identified candidate peaks
Use when after running saturation repair or multidimensional smoothing
Use when after building a SummarizedExperiment from metabolomics data
Use when after building a SummarizedExperiment object containing LC-MS
Use when you have processed LC-MS run data (feature table or peak detection
Use when you have added a known internal standard compound to your nano-DESI
Use when you have lipidomics data from LipidSearch or LIQUID output that
Use when after isotope correction has been applied to MSI ion images,
Use when your metabolomics dataset includes internal standard metabolites
Use when you have preprocessed metabolomics data with multiple candidate
Use when you have loaded processed LC-MS data (mzML or vendor format)
Use when after batch correction of metabolomics QC samples using pooled
Use when you have IM-MS lipidomics data from samples spiked with U13C-labeled
Use when you have (LC-)IM-MS lipidomics data from samples spiked with
Use when your IM-MS lipidomics samples have been spiked with fully labeled
Use when when a new file format specification exists as a living document