Claude Skills by HolobiomicsLab

Use when you have computed empirical p-values from randomized sampling

'Use when after integrating transcriptomics-derived (RAS), metabolomics-derived

Use when when you have a trained GNN model for molecular property prediction

Use when after initial retention-time-based feature grouping (e.g., using

Use when after performing retention-time-based feature grouping (e.g.,

Use when after peak picking (e.g., via MS-DIAL) and quality control filtering,

Use when after initial retention-time-based feature grouping has been

Use when after initial retention-time-based feature grouping when you

Use when you have raw omics data (microbiome OTU/ASV tables, metabolomic

Use when after loading an MZmine3-exported feature quantification table

Use when you have completed peak detection and feature alignment in metabolomic

Use when you have detected multiple ion peaks from replicate injections

Use when when a traditional peak extraction pipeline (e.g., XCMS) has

Use when after chromatographic peak detection and feature detection in

Use when you have a feature list with assigned molecular formulas and

Use when you have a trained decision tree model on ChemEcho sparse feature

Use when after peak detection and feature extraction have produced a

Use when you have a feature list (m/z values, retention times, and optionally

Use when after training a multi-layer perceptron neural network to predict

Use when after training a neural network model (e.

Use when you have a feature-based molecular network generated from non-targeted

Use when when implementing a new feature or bug fix in a shared repository

Use when after matching mass-to-charge ratios to a KEGG database and

Use when when you have molecular structures, a regression target (e.g.

Use when you have two or more CSV feature tables from separate metabolomic

Use when you have extracted multiple per-sample feature tables (in CSV

Use when after imputing missing values and before assigning Cluster_IDs

Use when you have a feature matrix (rows=samples, columns=features) and

Use when after mzRAPP has exported a benchmark CSV file from centroided

Use when you have a raw XCMS CentWave feature extraction table with m/z

Use when you have vendor-independent centroided DDA mzML files from LC-

Use when after constructing a MetaboSet object with LC-MS peak abundances,

Use when you have parsed SMILES or SDF molecular structures from a chemical

Use when when you have raw untargeted LC/MS data in mzML or mzXML format

Use when you have a feature table (CSV with m/z and retention time columns)

Use when after batch correction and concentration normalization have

Use when after drift correction in non-targeted LC-MS metabolomics workflows,

Use when after peak alignment across all spectra in an imaging dataset,

Use when after sample alignment has established consensus m/z and retention

Use when you have a feature table from LC-MS analysis (containing m/z,

Use when you have a detected LC-MS feature table (with m/z, retention

Use when you have a feature table from nontargeted LC-MS peak detection

'Use when after initial retention-time-based feature grouping (e.g.,

Use when after sample alignment and isotopologue/adduct grouping are

Use when you have a feature list with m/z values from HRMS data and need

Use when after peak picking and sample alignment have produced an aligned

Use when after LCMS feature alignment (e.g., Eclipse output) when you

Use when you have high-resolution tandem mass spectra (mzML, mzXML, or

Use when when you have high-resolution mass spectra that must be rapidly

Use when when you have high-resolution tandem MS/MS spectra in mzML,