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Claude Skills by HolobiomicsLab
github.com/HolobiomicsLab4,372 skills13 installs12,718 views
- Twim Ms Data Processing'Use when you have TWIM-MS data (arrival time and m/z values) from aVotes: 0GitHub stars: 16
- Two Dimensional Chromatography Data HandlingUse when you have raw GCxGC-MS chromatogram data in NetCDF format fromVotes: 0GitHub stars: 16
- Two Dimensional Correlation Optimized Warping Parameter TuningUse when when you have a preprocessed sample chromatogram (smoothed andVotes: 0GitHub stars: 16
- Two Dimensional Ms Image ProcessingUse when you have raw GC–MS or LC–MS data represented as a two-dimensionalVotes: 0GitHub stars: 16
- Two Dimensional Spectral Map AnalysisUse when you have GC–MS or LC–MS data represented as a two-dimensionalVotes: 0GitHub stars: 16
- Two Dimensional Tic FoldingUse when immediately after acquiring raw GCxGC-MS data in NetCDF formatVotes: 0GitHub stars: 16
- Two Layer Architecture Dispatch TestingUse when when you need to verify that a wrapper package (e.g., rawrr)Votes: 0GitHub stars: 16
- Two Layer Topology TraversalUse when you have an untargeted metabolomics dataset with partial metaboliteVotes: 0GitHub stars: 16
- Type Safety And Length Matching ValidationUse when implementing data replacement methods (such as `[<-`, `$<-`,Votes: 0GitHub stars: 16
- U13c Labeled Lipid IdentificationUse when you have measured CCS values from (LC-)IM-MS samples spikedVotes: 0GitHub stars: 16
- U13c Labeled Standard Reference MatchingUse when you have IM-MS measurements of samples spiked with U13C-labeledVotes: 0GitHub stars: 16
- Ubuntu Package Inventory AnalysisUse when when you have a Ubuntu-based software package (e.g., MetumpX)Votes: 0GitHub stars: 16
- Uhplc Hrms Ms Data MatchingUse when you have peak-picked UHPLC-HRMS/MS data (from Q-Exactive orbitrap,Votes: 0GitHub stars: 16
- Unannotated Feature CharacterizationUse when you have aligned feature tables from LC–MS/MS, correspondingVotes: 0GitHub stars: 16
- Uncertainty Estimation Across ModelsUse when when you have multiple independently trained models (e.g., ROASMI_1Votes: 0GitHub stars: 16
- Uncertainty Quantification From Model PredictionsUse when when you have a trained neural network (e.g., a Siamese modelVotes: 0GitHub stars: 16
- Uncertainty Quantification Rt Prediction'Use when you have trained a DNN retention time predictor and need toVotes: 0GitHub stars: 16
- Unified Api Design For Heterogeneous Data SourcesUse when your analysis pipeline must ingest mass-spectrometry data fromVotes: 0GitHub stars: 16
- Unified Mobility Scale Construction Across PolaritiesUse when you have CE-MS raw data in OnDiskMSnExp format with both positiveVotes: 0GitHub stars: 16
- Unified Vocabulary ConstructionUse when when you have parallel mass spectra and molecular structureVotes: 0GitHub stars: 16
- Unique Compound EnumerationUse when you have a GC-MS results table with a Match.Factor column (representingVotes: 0GitHub stars: 16
- Unit Test Coverage For Conditional WorkflowsUse when when refactoring or adding workflow branching logic that routesVotes: 0GitHub stars: 16
- Unit Test Design For Analytical ChemistryUse when when implementing or modifying metabolomics feature detectionVotes: 0GitHub stars: 16
- Unit Test Design For Biochemical FiltersUse when after implementing a custom Filter subclass (e.g., MetabolomicsFilter,Votes: 0GitHub stars: 16
- Unit Test Design For File ParsingUse when when implementing or extending file format parsers in a spectralVotes: 0GitHub stars: 16
- Unit Test Design For Model ParametersUse when you have extended a neural network model class (e.Votes: 0GitHub stars: 16
- Unit Test Design For Scoring MetricsUse when when implementing new scoring components (inchikey score, neighbourhoodVotes: 0GitHub stars: 16
- Unit Test Development For Spectral LoadersUse when when you have implemented parser functions for one or more massVotes: 0GitHub stars: 16
- Unit Test Fixture Design And ExecutionUse when when implementing or modifying a numerical compression/decompressionVotes: 0GitHub stars: 16
- Unit Test Validation For PreprocessingUse when after implementing or modifying basic peak filtering operationsVotes: 0GitHub stars: 16
- Univariate Statistical Analysis InterpretationUse when you have a preprocessed feature table from non-targeted LC-MS/MSVotes: 0GitHub stars: 16
- Unknown Chemical Extraction From SpectraUse when when you have an existing real mzML file from a metabolomicsVotes: 0GitHub stars: 16
- Unknown Chemical Identification In Complex MixturesUse when you have experimental LC–QTOF mass spectra from complex environmentalVotes: 0GitHub stars: 16
- Unknown Pollutant Identification Mass SpectrometryUse when you have UPLC-HRMS raw data (ThermoFisher, Agilent, or compatibleVotes: 0GitHub stars: 16
- Unknown Sample Reference ComparisonUse when you have a preprocessed unknown sample spectrum (m/z peaks andVotes: 0GitHub stars: 16
- Unmatched Peak Detection And PenalizationUse when when annotating MS/MS spectra against spectral libraries andVotes: 0GitHub stars: 16
- Unsaturation Degree QuantificationUse when you have FT-ICR MS peak data with assigned molecular formulasVotes: 0GitHub stars: 16
- Unsupervised Pattern Discovery SpectraUse when when you have preprocessed mass spectral data (normalized peakVotes: 0GitHub stars: 16
- Unsupervised Spectrum ClusteringUse when when you have high-dimensional embedding vectors from pretrainedVotes: 0GitHub stars: 16
- Untargeted Lc Ms Data PreprocessingUse when when you have raw untargeted LC-MS metabolomics data and needVotes: 0GitHub stars: 16
- Untargeted Lcms Peak AnnotationUse when you have a peak-intensity matrix from untargeted LC-MS analysisVotes: 0GitHub stars: 16
- Untargeted Metabolomics AnnotationUse when you have authentic metabolite standards analyzed by LC-MS inVotes: 0GitHub stars: 16
- Untargeted Metabolomics Data ProcessingUse when you have untargeted MS2 spectral data (from LC-MS/MS or similarVotes: 0GitHub stars: 16
- Untargeted Metabolomics Data Quality AssessmentUse when after imputation and signal drift correction (OUKS steps 3–4),Votes: 0GitHub stars: 16
- Untargeted Metabolomics Dataset IntegrationUse when you have two LC-MS feature tables (each with m/z, retentionVotes: 0GitHub stars: 16
- Untargeted Metabolomics Feature AnalysisUse when you have a feature table from untargeted metabolomics (withVotes: 0GitHub stars: 16
- Untargeted Metabolomics Feature InterpretationUse when you have an untargeted metabolomics feature table (m/z values,Votes: 0GitHub stars: 16
- Untargeted Metabolomics Marker IdentificationUse when when you have untargeted GC–MS or LC–MS data in the form ofVotes: 0GitHub stars: 16
- Untargeted Metabolomics Workflow ImplementationUse when you have LC-MS/MS data acquired in DDA mode from untargetedVotes: 0GitHub stars: 16
- Upset Plot GenerationUse when after loading and filtering search results from two or moreVotes: 0GitHub stars: 16