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Claude Skills by HolobiomicsLab
github.com/HolobiomicsLab4,372 skills13 installs12,718 views
- Lossless Compression DecompressionUse when when you have raw mzML or mzXML mass spectrometry files withVotes: 0GitHub stars: 16
- Low Energy Structure SelectionUse when after generating an ensemble of 3D conformers via RDKit conformationVotes: 0GitHub stars: 16
- Low Resolution Compound IdentificationUse when you have low-resolution GC-MS data (e.g., ANDI NetCDF format)Votes: 0GitHub stars: 16
- Low Resolution Mass Spectra Library MatchingUse when when processing low-resolution GC-MS data in NetCDF format whereVotes: 0GitHub stars: 16
- Low Resolution Mass Spectrometry AnalysisUse when you have low-resolution MS data (e.g., from quadrupole instruments)Votes: 0GitHub stars: 16
- M Z Alignment Across SamplesUse when you have extracted mass tracks (EICs) from multiple LC-MS samplesVotes: 0GitHub stars: 16
- M Z Alignment And Mass Grid AssemblyUse when when processing multiple centroided mzML LC-MS files from theVotes: 0GitHub stars: 16
- M Z And Retention Time Window ValidationUse when before committing to full-scale targeted peak integration acrossVotes: 0GitHub stars: 16
- M Z Annotation Reduction QuantificationUse when you have spatial metabolomics data with semi-colon-delimitedVotes: 0GitHub stars: 16
- M Z Array ProcessingUse when when you have imported MSI data (imzML or vendor format) loadedVotes: 0GitHub stars: 16
- M Z Based Feature GroupingUse when after retention-time clustering has grouped features from multipleVotes: 0GitHub stars: 16
- M Z Database Matching With Mass ToleranceUse when you have a set of observed m/z values extracted from a CardinalVotes: 0GitHub stars: 16
- M Z Intensity CalibrationUse when you have raw or processed MS spectrum data (m/z and intensityVotes: 0GitHub stars: 16
- M Z Intensity Feature ExtractionUse when you have imported mass spectrometry data in .raw, .d, or mzXMLVotes: 0GitHub stars: 16
- M Z Metabolite Annotation Mapping'Use when when you have a spatial metabolomics or LC-MS dataset withVotes: 0GitHub stars: 16
- M Z Retention Time Correspondence MappingUse when you have two peak-picked, conventionally aligned untargetedVotes: 0GitHub stars: 16
- M Z Retention Time Feature MatchingUse when after extracting a feature table from XCMS, MS-Dial, or similarVotes: 0GitHub stars: 16
- M Z Rt Feature MatchingUse when you have extracted peaks from multiple LC/HRMS batches (n >Votes: 0GitHub stars: 16
- M Z To Normalized Kendrick Mass ConversionUse when you have uploaded peak list data containing m/z values and wishVotes: 0GitHub stars: 16
- M Z Tolerance Window MatchingUse when when you have detected features with m/z, drift time, and retentionVotes: 0GitHub stars: 16
- M Z Value Clustering Mass SpectrometryUse when processing extracted peak lists from MSI data and you need toVotes: 0GitHub stars: 16
- M Z Value Ordering EnforcementUse when when implementing or modifying data replacement methods (e.g.,Votes: 0GitHub stars: 16
- M Z Window Tolerance ApplicationUse when after parsing an imzML XML metadata file and loading the correspondingVotes: 0GitHub stars: 16
- Machine Learning Based Conformation FilteringUse when when you have generated multiple 3D conformations for a moleculeVotes: 0GitHub stars: 16
- Machine Learning Cross Validation TrainingUse when you have a labeled dataset (e.g., mass spectra with molecularVotes: 0GitHub stars: 16
- Machine Learning Model Application To LipidomicsUse when you have MS-DIAL lipid identifications from an Orbitrap or TOFVotes: 0GitHub stars: 16
- Machine Learning Model EvaluationUse when you have a trained NeatMS neural network model and a labelledVotes: 0GitHub stars: 16
- Machine Learning Model InferenceUse when you have molecular descriptors or fingerprints for a set ofVotes: 0GitHub stars: 16
- Machine Learning Model Training SklearnUse when your metabolomics analysis pipeline requires CCS value predictionVotes: 0GitHub stars: 16
- Machine Learning Model Training With Cross ValidationUse when when you have a labeled peak quality matrix (with known pass/failVotes: 0GitHub stars: 16
- Machine Learning Model TrainingUse when you have a labeled dataset of DIA raw files (.raw, .d, .wiff)Votes: 0GitHub stars: 16
- Machine Learning Performance Metric EvaluationUse when after training a binary MS/MS spectral classifier on labeledVotes: 0GitHub stars: 16
- Mahalanobis Distance CalculationUse when after data normalization (Box-Cox transformation) and beforeVotes: 0GitHub stars: 16
- Maldi Imaging Mass Spectrometry Data InterpretationUse when you have paired pre- and post-MALDI microscopy images with visible,Votes: 0GitHub stars: 16
- Mandatory Field VerificationUse when after generating mzPeak files from prototype implementationsVotes: 0GitHub stars: 16
- Marker Feature Identification And ValidationUse when when processing GC–MS or LC–MS data as m/z vs retention timeVotes: 0GitHub stars: 16
- Marker Feature Identification Chromatography MsUse when when processing raw chromatography–mass spectrometry data (GC–MSVotes: 0GitHub stars: 16
- Marker Feature Visualization Retention Time MzUse when after NPFimg's automated detection algorithm has identifiedVotes: 0GitHub stars: 16
- Marker Ion Ranking And FilteringUse when you have extracted latent low-dimensional peak features fromVotes: 0GitHub stars: 16
- Masking Augmentation For Contrastive LearningUse when when training a transformer encoder on tandem mass spectra (MS/MS)Votes: 0GitHub stars: 16
- Mass Accuracy AlignmentUse when after parsing MRM transition tables (m/z values, retention times,Votes: 0GitHub stars: 16
- Mass Accuracy Collision Energy OptimizationUse when you have defined a set of lipid targets (species, adducts, chainVotes: 0GitHub stars: 16
- Mass Accuracy Ppm FilteringUse when when you have a set of candidate molecular formulae for a measuredVotes: 0GitHub stars: 16
- Mass Accuracy Tolerance ApplicationUse when when you have generated in silico annotations (from GNPS ISDB,Votes: 0GitHub stars: 16
- Mass Accuracy Tolerance CalibrationUse when you have experimental fragment m/z values from HRMS/MS instrumentsVotes: 0GitHub stars: 16
- Mass Accuracy Tolerance FilteringUse when when you have a peaklist from IDSL.IPA or similar peak-pickingVotes: 0GitHub stars: 16
- Mass Accuracy ValidationUse when after implementing or modifying an mzML parser module that convertsVotes: 0GitHub stars: 16
- Mass Action Kinetics Propensity ScoringUse when you have intracellular metabolomics measurements (absolute metaboliteVotes: 0GitHub stars: 16
- Mass Action Law Flux PredictionUse when when you have quantified intracellular metabolite abundancesVotes: 0GitHub stars: 16
- Mass Binning And Tokenization For Topic ModelingUse when you have extracted and intensity-normalized fragment ion massesVotes: 0GitHub stars: 16