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Claude Skills by HolobiomicsLab
github.com/HolobiomicsLab4,372 skills13 installs12,718 views
- Feature Alignment MetabolomicsUse when you have detected multiple ion peaks from replicate injectionsVotes: 0GitHub stars: 16
- Feature Annotation AugmentationUse when when a traditional peak extraction pipeline (e.g., XCMS) hasVotes: 0GitHub stars: 16
- Feature Annotation ConsolidationUse when after chromatographic peak detection and feature detection inVotes: 0GitHub stars: 16
- Feature Annotation FilteringUse when you have a feature list with assigned molecular formulas andVotes: 0GitHub stars: 16
- Feature Annotation MappingUse when you have a trained decision tree model on ChemEcho sparse featureVotes: 0GitHub stars: 16
- Feature Annotation Via Isotope Adduct GroupingUse when after peak detection and feature extraction have produced aVotes: 0GitHub stars: 16
- Feature Annotation With Chemical DescriptorsUse when you have a feature list (m/z values, retention times, and optionallyVotes: 0GitHub stars: 16
- Feature Based Molecular Network InterpretationUse when you have a feature-based molecular network generated from non-targetedVotes: 0GitHub stars: 16
- Feature Clustering Intensity BasedUse when after matching mass-to-charge ratios to a KEGG database andVotes: 0GitHub stars: 16
- Feature Consolidation Across BatchesUse when you have two or more CSV feature tables from separate metabolomicVotes: 0GitHub stars: 16
- Feature Consolidation Across SamplesUse when you have extracted multiple per-sample feature tables (in CSVVotes: 0GitHub stars: 16
- Feature Correlation Graph ConstructionUse when after imputing missing values and before assigning Cluster_IDsVotes: 0GitHub stars: 16
- Feature Count Verification Across Adducts And IsotopologuesUse when after mzRAPP has exported a benchmark CSV file from centroidedVotes: 0GitHub stars: 16
- Feature Dereplication Mass ToleranceUse when you have a raw XCMS CentWave feature extraction table with m/zVotes: 0GitHub stars: 16
- Feature Detection In Chromatographic Ms DataUse when you have vendor-independent centroided DDA mzML files from LC-Votes: 0GitHub stars: 16
- Feature Detection Rate FilteringUse when after constructing a MetaboSet object with LC-MS peak abundances,Votes: 0GitHub stars: 16
- Feature Extraction UntargetedUse when when you have raw untargeted LC/MS data in mzML or mzXML formatVotes: 0GitHub stars: 16
- Feature Fidelity PredictionUse when you have a feature table (CSV with m/z and retention time columns)Votes: 0GitHub stars: 16
- Feature Filtering And Quality ControlUse when after batch correction and concentration normalization haveVotes: 0GitHub stars: 16
- Feature Flagging Threshold CalibrationUse when after drift correction in non-targeted LC-MS metabolomics workflows,Votes: 0GitHub stars: 16
- Feature Frequency Filtering ImagingUse when after peak alignment across all spectra in an imaging dataset,Votes: 0GitHub stars: 16
- Feature Gap Filling RecursionUse when after sample alignment has established consensus m/z and retentionVotes: 0GitHub stars: 16
- Feature Group Adduct DetectionUse when you have a feature table from LC-MS analysis (containing m/z,Votes: 0GitHub stars: 16
- Feature Group Fragment ClassificationUse when you have a detected LC-MS feature table (with m/z, retentionVotes: 0GitHub stars: 16
- Feature Group Isotope AnnotationUse when you have a feature table from nontargeted LC-MS peak detectionVotes: 0GitHub stars: 16
- Feature Group Refinement Multicriteria'Use when after initial retention-time-based feature grouping (e.g.,Votes: 0GitHub stars: 16
- Feature Group Spectral MappingUse when after sample alignment and isotopologue/adduct grouping areVotes: 0GitHub stars: 16
- Feature Grouping By Mass DefectUse when you have a feature list with m/z values from HRMS data and needVotes: 0GitHub stars: 16
- Feature Grouping By Molecular IonUse when after peak picking and sample alignment have produced an alignedVotes: 0GitHub stars: 16
- Feature Grouping By Similarity MetricsUse when after LCMS feature alignment (e.g., Eclipse output) when youVotes: 0GitHub stars: 16
- Feature Hashing Dimensionality ReductionUse when you have high-resolution tandem mass spectra (mzML, mzXML, orVotes: 0GitHub stars: 16
- Feature Hashing Representation Mass SpectraUse when when you have high-resolution mass spectra that must be rapidlyVotes: 0GitHub stars: 16
- Feature Hashing VectorizationUse when when you have high-resolution tandem MS/MS spectra in mzML,Votes: 0GitHub stars: 16
- Feature Identifier AssignmentUse when after constructing MetaboSet objects from Excel-formatted LC-MSVotes: 0GitHub stars: 16
- Feature Intensity Normalization And Batch CorrectionUse when after blank masking and sample dropping, when you have a featureVotes: 0GitHub stars: 16
- Feature Intensity Preservation Across CorrectionUse when when you have loaded a raw MS quantification table (feature-by-sampleVotes: 0GitHub stars: 16
- Feature Intensity QuantificationUse when after features have been identified in LC-MS data via peak picking,Votes: 0GitHub stars: 16
- Feature Intensity Ratio CalculationUse when after generating a feature table from LC-MS/MS data when yourVotes: 0GitHub stars: 16
- Feature Intensity Recovery Across SamplesUse when after sample alignment in untargeted LC-MS workflows, when theVotes: 0GitHub stars: 16
- Feature Intensity ThresholdingUse when after feature extraction from mzML/mzXML files when you haveVotes: 0GitHub stars: 16
- Feature List Format ValidationUse when a user supplies a custom feature list from external feature-findingVotes: 0GitHub stars: 16
- Feature List Harmonization Across MethodsUse when you have feature lists in CSV format originating from differentVotes: 0GitHub stars: 16
- Feature Matrix Normalization And ScalingUse when you have a heterogeneous feature matrix combining molecularVotes: 0GitHub stars: 16
- Feature Matrix Preparation For Supervised LearningUse when you have preprocessed metabolomics feature abundance data andVotes: 0GitHub stars: 16
- Feature Matrix Preparation Mass SpectrometryUse when when you have raw mass spectrometry spectral data (peak intensitiesVotes: 0GitHub stars: 16
- Feature Metadata Alignment Across DimensionsUse when you have loaded a feature-by-pixel intensity matrix from anVotes: 0GitHub stars: 16
- Feature Metadata AnnotationUse when you have processed mass spectrometry data consisting of threeVotes: 0GitHub stars: 16
- Feature Metadata Extraction From Clustering ObjectsUse when after RAMClustR clustering and do.findmain molecular weightVotes: 0GitHub stars: 16
- Feature Metadata Parsing And IntegrationUse when after completing sample alignment in JPA (Part 5) or when ingestingVotes: 0GitHub stars: 16
- Feature Missingness Threshold FilteringUse when after loading and formatting raw peak-picked LC-MS metabolomicsVotes: 0GitHub stars: 16