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Claude Skills by HolobiomicsLab
github.com/HolobiomicsLab4,372 skills13 installs12,718 views
- Duplicate Spectrum Detection RemovalUse when you have a large collection of MS/MS spectra with harmonizedVotes: 0GitHub stars: 16
- Duplicate Spectrum Detection SplashUse when when processing large collections of mass spectra from multipleVotes: 0GitHub stars: 16
- Dynamic Exclusion Weighting Strategy EvaluationUse when you have prototyped a novel data-dependent acquisition strategyVotes: 0GitHub stars: 16
- Dysregulation Score ComputationUse when you have per-sample metabolite abundance data (e.g., from LC-MSVotes: 0GitHub stars: 16
- Effective Mobility Calibration Single MarkerUse when when you have CE-MS data with migration times that vary betweenVotes: 0GitHub stars: 16
- Effective Mobility TransformationUse when you have raw CE-MS data (mzML or netCDF format) with migrationVotes: 0GitHub stars: 16
- Ei Mass Spectra Structure RepresentationUse when you have raw or archived MSP spectral library files and needVotes: 0GitHub stars: 16
- Ei Mass Spectrum SimulationUse when when you have a molecular structure (XYZ or equivalent format)Votes: 0GitHub stars: 16
- Ei Spectral Library Parsing And MergingUse when you need to build a comprehensive EI spectral reference libraryVotes: 0GitHub stars: 16
- Ei Spectrum NormalizationUse when you have raw electron ionization mass spectra (m/z and intensityVotes: 0GitHub stars: 16
- Eic Data Extraction From XcmsUse when after running XCMS getEIC() to generate xcmsEIC objects andVotes: 0GitHub stars: 16
- Eic File Format GenerationUse when after completing MS2 annotation in the JPA metabolomics workflow,Votes: 0GitHub stars: 16
- Eic Signal Peak DetectionUse when after EIC candidate generation from LC/HRMS data (mzXML, mzML,Votes: 0GitHub stars: 16
- Eic Similarity Correlation AnalysisUse when after abundance-correlation-based feature group refinement whenVotes: 0GitHub stars: 16
- Electron Ionization Spectral ComparisonUse when you have a query electron ionization (EI) mass spectrum in mspVotes: 0GitHub stars: 16
- Electronic Noise Detection In Mass SpectraUse when you have raw MS/MS peak lists and suspect electronic noise contamination—particularlyVotes: 0GitHub stars: 16
- Electronic Noise Generation Uniform SamplingUse when when you need to create synthetic noisy MS/MS spectra for benchmarkingVotes: 0GitHub stars: 16
- Electronic Noise Ion RemovalUse when working with raw MS/MS spectra that contain ions with repeatedVotes: 0GitHub stars: 16
- Electrophoretic System Parameter SpecificationUse when you are preparing to perform effective mobility transformationVotes: 0GitHub stars: 16
- Elemental Composition ParsingUse when when you have FT-ICR MS peak data with assigned molecular formulasVotes: 0GitHub stars: 16
- Elemental Ratio Histogram Visualization'Use when after loading a numeric elemental ratio column (H/C, O/C, N/C,Votes: 0GitHub stars: 16
- Email Delivery IntegrationUse when when a QC check fails during an active LC-MS run and configuredVotes: 0GitHub stars: 16
- Embedding Similarity ComputationUse when when you have pre-computed embeddings (from MSBERT, Spec2Vec,Votes: 0GitHub stars: 16
- Embedding Similarity MatchingUse when after a CNN model has generated predicted molecular embeddingsVotes: 0GitHub stars: 16
- Embedding Space Dimensionality ReductionUse when when you have a collection of MS/MS spectra (in mzML or MGFVotes: 0GitHub stars: 16
- Embedding Space Normalization And GeometryUse when when designing a Siamese or multi-branch neural architectureVotes: 0GitHub stars: 16
- Embedding Space RepresentationUse when you have pairs or triplets of MS/MS spectra with associatedVotes: 0GitHub stars: 16
- Embedding Space Visualization And InterpretationUse when after training or loading a pre-trained deep learning modelVotes: 0GitHub stars: 16
- Embedding Vector GenerationUse when when you have tokenized mass spectra (peak-mass and peak-intensityVotes: 0GitHub stars: 16
- Embedding Vector Similarity RankingUse when you have a query mass spectrum and need to retrieve the mostVotes: 0GitHub stars: 16
- Emd Spectral Distance ComputationUse when you have an NMR mixture spectrum and a library of single-compoundVotes: 0GitHub stars: 16
- Empirical Compound Annotation And RepresentationUse when you have a tab-delimited feature table (m/z, retention time,Votes: 0GitHub stars: 16
- Empirical Compound Construction And GroupingUse when after generating a feature table from mzML data (via Asari)Votes: 0GitHub stars: 16
- Empirical Compound Construction From Feature ClusteringUse when after feature detection and quality control have produced aVotes: 0GitHub stars: 16
- Empirical Compound Grouping By Adducts And IsotopesUse when after feature table normalization and imputation are complete,Votes: 0GitHub stars: 16
- Empirical Compound Pre AnnotationUse when after feature detection from mzML files (e.g., via Asari) whenVotes: 0GitHub stars: 16
- Encoder Decoder End To End TrainingUse when you have a pretrained encoder that produces fixed-size embeddingsVotes: 0GitHub stars: 16
- Encoder Output Dimension Reduction'Use when you have 512-dimensional representation vectors output fromVotes: 0GitHub stars: 16
- Endianness Detection And HandlingUse when when reading a binary file format with a magic integer or fixedVotes: 0GitHub stars: 16
- Energy Based Formula ScoringUse when you have an unknown MS/MS spectrum (precursor m/z and fragmentVotes: 0GitHub stars: 16
- Energy Based Model InferenceUse when when you have an unknown MS/MS spectrum (m/z and intensity pairs)Votes: 0GitHub stars: 16
- Enrichment Statistical ThresholdingUse when after running Enrichment() on a configured EnrichParam objectVotes: 0GitHub stars: 16
- Ensemble Model InferenceUse when you have a set of compounds (as SMILES strings or molecularVotes: 0GitHub stars: 16
- Ensemble Model Weight Learning For Spectral PredictionUse when you have pre-trained MLP and GNN models that generate differentVotes: 0GitHub stars: 16
- Ensemble Variance QuantificationUse when when you have retention order predictions from multiple independentlyVotes: 0GitHub stars: 16
- Entropy Based Spectral Distance ComputationUse when when comparing two preprocessed MS/MS spectra for compound identificationVotes: 0GitHub stars: 16
- Entropy Search Algorithm ImplementationUse when you need to search one or more query MS/MS spectra against largeVotes: 0GitHub stars: 16
- Entropy Similarity ScoringUse when you need to quantify the degree of match between two MS/MS spectra—eitherVotes: 0GitHub stars: 16
- Entry Point Script ValidationUse when after installing a Python package or cloning its repository,Votes: 0GitHub stars: 16
- Entrypoint VerificationUse when when you have obtained a Python package from a repository (e.g.,Votes: 0GitHub stars: 16