
Claude Skills by HolobiomicsLab
github.com/HolobiomicsLabUse when after feature extraction from XCMS or MS-Dial when you have
Use when your input is a feature intensity table (CSV or R data frame)
Use when after loading an MZmine3-exported feature quantification table
Use when after running Paramounter's peak-height optimization on XCMS
Use when you have detected feature tables from multiple LC-IMS-MS/MS
Use when when you have high-resolution mass-spectrometry (HRMS) breath
Use when after completing feature detection, alignment, and optional
Use when after executing an MZmine batch processing workflow on raw metabolomics
Use when when you have a quantitative feature table (peak intensities
Use when you have raw feature tables exported from NPP tools (XCMS, MZmine
Use when transitioning feature intensity data between pipeline stages
Use when you have an aligned feature table from untargeted LC-MS with
Use when after retention-time and m/z-based peak alignment has been completed
Use when after retention-time correction and alignment of centroided
Use when when you have MS1 feature tables from heterogeneous sources—e.g.,
Use when when you need to generate a realistic LC/GC-MS feature table
Use when when processing a metabolomics feature table through multiple
Use when after Asari completes feature detection and produces multiple
Use when you have peak/feature tables from one or more peak picking tools
Use when you have extracted volatile organic compound (VOC) features
Use when when you have a feature intensity matrix (samples × compounds)
Use when after peak quality filtering has been applied to a composite
Use when you have feature tables from external metabolomics software
Use when you have a raw metabolite abundance matrix with substantial
'Use when after loading an MS-DIAL feature table when you need to separate
Use when you have an untargeted metabolomics feature table (m/z, retention
'Use when after imputation and QC sample correction when: (1) your peak
Use when when applying sequential transformations to a metabolomics feature
Use when you have millions of MS/MS spectra in mzML, mzXML, or MGF format
Use when when you have extracted concatenated MS/MS spectra for multiple
Use when when implementing multiple spectrum predictor baseline models
Use when you have preprocessed molecular structures as fixed-length feature
Use when you have experimental retention times measured on a source chromatographic
Use when you have raw FIA-MS full-scan data in mzML format and need to
Use when after simulating and convolving individual metabolite multiplets
Use when when transforming tabular data via the matrix directive and
Use when converting intermediate JSONized experimental metadata (extracted
Use when when working with JSON project documents that must conform to
Use when when you need to construct a POST endpoint that ingests raw
Use when when a spectral processing operation produces multiple output
Use when you have generated or received mzPeak files from a Rust, Python,
Use when you have generated a peak table or feature list from MZmine,
Use when when integrating MSConvert into an automated LC-MS QC workflow
Use when when you have raw mzML or mzXML mass spectrometry data files
Use when when you receive a mass spectrometry imaging dataset in unknown
Use when when building a file I/O abstraction layer that must support
Use when you have a parser library that must support multiple file formats
Use when after executing MassQL queries on mass spectrometry data that
Use when you have molecular descriptor data in CSV or EXCEL format and
Use when you have raw MS data files from one or more instrument vendors