Claude Skills by HolobiomicsLab

Use when when you have a Universal Spectrum Identifier (USI) string or

Use when you have candidate lipid annotations from high-throughput spectral

Use when you need to validate that Docker image builds for multiple deployment

Use when when baseline MLP or GNN models for spectral prediction show

Use when training neural network models (MLP or GNN) for metabolite annotation

Use when when you have multi-branch deep learning architecture predicting

Use when when training an object detection network that must predict

Use when when you have completed parallel or sequential tool runs (e.g.,

Use when you have feature identification outputs from two or more DIA-MS

Use when you have peak/feature table outputs from one or more peak-picking

Use when after RAMClustR clustering and do.findmain molecular weight

Use when you have independently cleaned and validated organism, structure,

Use when you observe sawtooth or discontinuous peak profiles in EICs

'Use when you have three separate data components from a metabolomics

Use when when you have parsed metabolite measurements into a table (rows

Use when you have split multi-assay LC-MS intensity data into training

Use when you have a multi-class metabolomic peak table with quality control

Use when your input is a raw or prepared multi-class metabolomic peak

Use when when you have a normalized metabolite abundance matrix with

Use when after removing outlier samples and confirming data quality through

Use when you have detected feature tables from two or more LC-IMS-MS/MS

Use when you have a peak-picked feature table (HDF5 format) from high-dimensional

Use when when you have acquired LC-IMS-MS/MS data (mzML or mzML.gz format)

Use when you have preprocessed MS/MS spectral data (normalized peak intensities

'Use when you have acquired untargeted MS data with orthogonal separations

Use when after computing a pairwise sample distance matrix from aligned

Use when processing raw IM-MS data (Agilent MassHunter .d or UIMF format)

Use when you have multidimensional MS data (with LC and/or ion mobility

Use when you have raw MS data in vendor formats (Agilent .d, Thermo .raw,

Use when when you have molecule IDs converted to multiple independent

Use when when you have completed multimodal dataset production via data_prep.py

Use when you have parsed spectral data from four distinct modalities

Use when when you have paired spatial transcriptome and metabolome datasets

Use when when you have downloaded raw spectroscopic datasets from multiple

Use when when you have matched multiomics measurements across the same

Use when after running ANOVA or G-test statistical analysis across multiple

Use when after computing raw p-values from differential metabolomics

Use when when you have an observed m/z value from mass spectrometry imaging

Use when when you have generated raw p-values from differential expression

Use when when performing statistical tests (e.g., t-tests, ANOVA) across

Use when when you have computed raw p-values for multiple independent

Use when you have computed raw p-values from partial Spearman correlations

Use when whenever you have performed Fisher's exact test or another statistical

Use when you have raw IM-MS data in UIMF or Agilent MassHunter .d format

Use when you have SWATH-MS data (mzML or vendor binary format) where

'Use when when deploying a Streamlit workflow app in offline mode (online_deployment:

Use when you have Sciex Multiquant text export files from one or more

'Use when you have paired mass spectra and molecular structure datasets

Use when you have a trained multitask model checkpoint and preprocessed

Use when after data preprocessing and quality control, when your metabolomics