Claude Skills by HolobiomicsLab

Use when after quality control, filtering, and normalization of an MS-DIAL-derived

Use when you have a metabolomics feature table (rows=features, columns=samples)

Use when when you have preprocessed LC-MS/MS data (MGF file with MS1

Use when after completing feature annotation and reaction assignment

Use when you have multiple metabolomic studies with aggregate summary

Use when when you have untargeted LC-MS/MS spectral data from microbial

Use when when your metabolomic network contains multiple edge types (Biochemical,

Use when you have a raw or minimally processed metabolomic peak matrix

Use when after peak detection in untargeted LC/HRMS workflows, when you

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

Use when when you have raw or GNPS-processed MS2 spectral data from microbial

Use when after running NOREVA's multi-class or time-course assessment

Use when you are designing a blood sampling protocol for metabolomics

Use when when you have log2-transformed metabolomics data with known

Use when you have a log-transformed metabolomics featuredata matrix with

Use when you have log-transformed, imputed metabolomics data from multiple

Use when you need to create realistic, diverse chemical populations for

Use when you have a preprocessed metabolomics feature matrix (expression

Use when you have deposited spatio-molecular matrices (e.g., MORPHnMOL.csv

Use when you have received or published a claim about the number of metabolites

Use when you have raw LC-MS data in mzML or equivalent binary format

Use when you have a tab-delimited metabolomics data file (raw measurement

Use when after running feature clustering (Gravity) or drift correction

Use when when you have metabolomics comparison results from one or more

Use when when importing a tab-delimited or Sciex OS text export metabolomics

Use when you have measured intracellular metabolite concentrations (e.g.,

Use when you have untargeted LC-MS metabolomics data preprocessed with

Use when you have raw metabolomics count data (e.g., from mass spectrometry

Use when you have raw metabolomics data (e.g., in standard bioinformatics

Use when when you have raw metabolomics peak intensities or concentrations

Use when you have raw metabolomics data (samples × metabolic features

Use when after completing feature annotation with the annotateRC function

Use when you have raw LC/HRMS data files in mzXML, mzML, or netCDF format

Use when when you have raw or partially processed metabolomics data (feature

Use when after consolidating aligned LC-MS peaks into a quantitative

Use when after loading raw metabolomics data (e.g., from Metabolon, Nightingale,

Use when you have a Sciex Multiquant (≥v3.0.3) txt export containing

Use when you have a raw MGF file containing fragmented LC-MS-MS metabolomics

Use when you have raw 1D NMR spectral data (urine, worm, or other biological

Use when you have metabolomics data already formatted as a SummarizedExperiment

Use when you have raw or semi-processed m/z peak lists (positive and

Use when after you have detected LC-MS features, grouped them into empirical

Use when you are beginning a non-targeted metabolomics analysis and need

Use when when converting raw metabolomics data from external formats

Use when you have a feature intensity matrix from untargeted metabolomics

Use when you have raw metabolomics mass spectrometry data in mzML or

'Use when you have raw LC-MS data (mzXML format or pre-computed feature

Use when after XCMS peak picking and fillPeaks() when you have xcmsEIC

Use when after peak detection and feature table construction (rows =

Use when you have an aligned MemoMatrix (sample-by-feature occurrence