
Claude Skills by HolobiomicsLab
github.com/HolobiomicsLabUse when you have raw or peak-picked mass spectrometry data in HDF5 format
Use when when exporting quantified MSI data (feature-by-pixel intensity
Use when when you have converted multidimensional mass spectrometry data
Use when when you need to work with mzMLb (HDF5-based) proteomics data
Use when you have multidimensional MS data converted to MZA HDF5 format
Use when after invoking the DEIMoS CLI with a configuration file and
Use when after converting proprietary vendor mass spectrometry files
Use when when you have JSON table records (arrays of field-indexed objects)
Use when you have a gene expression matrix (samples × genes, with numeric
'Use when after training a DeepMSProfiler model and generating per-sample
Use when your peptide sample has been enriched with stable isotope labels
Use when your input consists of multiple external databases with different
Use when when building a Graph Transformer model for continuous property
Use when you have 2D NMR spectral data from multiple samples (a large
Use when when implementing or reverse-engineering a custom binary file
Use when you have a feature-by-sample matrix (finalData) of metabolomic
'Use when when you have a Metaboprep object after quality control filtering
Use when after XCMS feature detection, grouping, retention time correction,
Use when you have a normalized and imputed metabolite abundance matrix
Use when you have a pre-computed hierarchical dendrogram from correlation-based
Use when you have a normalized microbe-metabolite feature attribution
Use when after peak detection in GC-IMS preprocessing, when you need
Use when when you have a large combinatorial chemical space (e.g., all
Use when when you have received an MZA-format HDF5 file (or other hierarchical
'Use when your input is a tabular file (CSV or Excel) with column headers
Use when when building a reference library for high-throughput spectral
Use when you have a metabolomics count data frame with metabolite identifiers
Use when when you have multiple batches of metabolomics data with embedded
Use when immediately after parsing and validating raw LC-MS/MS data files
Use when when you have millions of high-dimensional objects (e.g., MS/MS
Use when when you have raw or preprocessed mass spectrometry imaging
Use when when you have a large spectral library (thousands to millions
Use when you have implemented or are evaluating an algorithmic or system
Use when you have a pre-trained MS/MS spectral embedding model and need
Use when you have high-resolution mass-spectrometry data (Orbitrap, GC-CI-MS)
Use when you have acquired high-resolution MS/MS spectra in mzML, mzXML,
Use when you have uploaded a delimited data file (CSV, TSV, or semicolon-separated)
Use when you have centroided LC- or GC-HRMS data (in mzML format, ideally
Use when when you have high-resolution tandem mass spectra from proteomics
Use when you have high-resolution MS2 data in .ms2 format from lipid
'Use when you have two spatial omics datasets (e.g., spatial transcriptome
Use when when you have MGF-formatted mass spectrometry peak files (typically
Use when you have uploaded a numeric column (e.g., H/C ratio, O/C ratio,
Use when after you have computed a histogram of pairwise mass differences
Use when when you have a trained MS/MS spectral embedding model and need
Use when you have executed batch spectral searches against two or more
Use when when you need to establish a reproducible inventory of compounds
Use when when you need to create in silico LC-MS/MS experiments with
Use when you have downloaded raw HMDB data (hmdb_metabolites.zip or pickle
Use when you have identified one or more proton NMR spectral regions-of-interest