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Claude Skills by HolobiomicsLab
github.com/HolobiomicsLab4,372 skills13 installs12,718 views
- Mass Spectrum Fragment Ion ExtractionUse when you have an experimental MS/MS spectrum (e.g., from MassBankVotes: 0GitHub stars: 16
- Mass Spectrum Histogram InterpretationUse when after computing all pairwise mass differences from a mass spectrometryVotes: 0GitHub stars: 16
- Mass Spectrum M Z AlignmentUse when when working with multidimensional MS data (LC–IM–MS/MS) convertedVotes: 0GitHub stars: 16
- Mass Spectrum Noise Threshold Parameter SelectionUse when when processing raw or centroid mass spectra (e.g., ESI-MS orVotes: 0GitHub stars: 16
- Mass Spectrum Normalization And PreprocessingUse when you have raw tandem mass spectra data (mz/intensity pairs andVotes: 0GitHub stars: 16
- Mass Spectrum Peak AggregationUse when you have a processed mass spectrum object with assigned molecularVotes: 0GitHub stars: 16
- Mass Spectrum Peak Annotation And NormalizationUse when you have raw MS/MS spectra in MSP format or as numpy arraysVotes: 0GitHub stars: 16
- Mass Spectrum Peak DetectionUse when you have raw or processed MS spectrum data (mz/intensity pairs)Votes: 0GitHub stars: 16
- Mass Spectrum Peak List HandlingUse when you have raw or preprocessed electron ionization (EI) mass spectralVotes: 0GitHub stars: 16
- Mass Spectrum Peak Manipulation MergingUse when after generating electronic noise (uniformly sampled m/z withVotes: 0GitHub stars: 16
- Mass Spectrum Peak MatchingUse when when you have a query electron ionization mass spectrum (asVotes: 0GitHub stars: 16
- Mass Spectrum Peak NormalizationUse when when comparing two or more MSMS spectra using intensity-weightedVotes: 0GitHub stars: 16
- Mass Spectrum Plot RenderingUse when after importing and preprocessing mass spectrometry data (inVotes: 0GitHub stars: 16
- Mass Spectrum Prediction ModelingUse when you have a collection of molecular structures (SMILES or chemicalVotes: 0GitHub stars: 16
- Mass Spectrum Prediction Neural NetworksUse when when you have molecular structures (SMILES, InChI, or chemicalVotes: 0GitHub stars: 16
- Mass Spectrum Preprocessing And NormalizationUse when when you have raw MS/MS spectra in MGF or mzML/mzXML formatsVotes: 0GitHub stars: 16
- Mass Spectrum PreprocessingUse when you have raw MS/MS spectra in MGF format with variable peakVotes: 0GitHub stars: 16
- Mass Spectrum Query ProcessingUse when you have an unknown mass spectrum (as m/z and intensity arrays)Votes: 0GitHub stars: 16
- Mass Spectrum Scan Extraction And WindowingUse when when you have a full mass spectrum scan (e.g., FT1 or FT2 scanVotes: 0GitHub stars: 16
- Mass Spectrum Scan ParsingUse when you have raw mass spectrometry data files from a Thermo instrumentVotes: 0GitHub stars: 16
- Mass Spectrum Semantic EncodingUse when when you have an unknown compound's mass spectrum (m/z peaksVotes: 0GitHub stars: 16
- Mass Spectrum Similarity ScoringUse when when you have a query MS/MS spectrum (m/z and intensity pairs)Votes: 0GitHub stars: 16
- Mass Spectrum SimulationUse when when you have one or more peptide sequences (as strings) andVotes: 0GitHub stars: 16
- Mass Spectrum Structure ElucidationUse when you have an experimental tandem mass spectrum (collision-inducedVotes: 0GitHub stars: 16
- Mass Spectrum Tensor EncodingUse when when you have parsed EI-MS spectrum data (m/z and intensityVotes: 0GitHub stars: 16
- Mass Spectrum Tokenization And Bag Of Fragments GenerationUse when after filtering and cleaning MS/MS spectra (positive/negativeVotes: 0GitHub stars: 16
- Mass Spectrum Visualization MatplotlibUse when you have an annotated MsmsSpectrum object (with fragment assignmentsVotes: 0GitHub stars: 16
- Mass Spectrum VisualizationUse when when you have extracted m/z and intensity arrays from an MZAVotes: 0GitHub stars: 16
- Mass To Charge FilteringUse when after generating theoretical B/Y ion spectra or after importingVotes: 0GitHub stars: 16
- Mass To Charge Matching Tolerance TuningUse when you are preparing to align two or more nontargeted LCMS datasetsVotes: 0GitHub stars: 16
- Mass To Charge Ratio Matching Against KeggUse when you have an LC-MS peak-intensity matrix (rows = peaks with m/zVotes: 0GitHub stars: 16
- Mass To Charge Ratio ValidationUse when after loading MS-Dial feature tables (e.g., Urine_RP_NEG_norm.txtVotes: 0GitHub stars: 16
- Mass To Charge Retention Time Feature MappingUse when you have centroided data-dependent acquisition (DDA) mzML filesVotes: 0GitHub stars: 16
- Mass To Charge Tolerance FilteringUse when extracting migration times of specific analyte or referenceVotes: 0GitHub stars: 16
- Mass To Charge Tolerance MatchingUse when you have statistically significant LC-MS features and need toVotes: 0GitHub stars: 16
- Mass Tolerance Calibration Ppm UnitsUse when when linking statistically significant LC-MS features into structuralVotes: 0GitHub stars: 16
- Mass Tolerance FilteringUse when when you have observed fragment peak m/z values from tandemVotes: 0GitHub stars: 16
- Mass Tolerance Matching And ValidationUse when you have an MS/MS spectrum with observed peaks and a peptidoformVotes: 0GitHub stars: 16
- Mass Tolerance Optimization HrmsUse when you have experimental peak lists (m/z, retention time, intensity)Votes: 0GitHub stars: 16
- Mass Tolerance Parameter CalibrationUse when when converting raw line-scan mass spectrometry imaging dataVotes: 0GitHub stars: 16
- Mass Tolerance Window CalibrationUse when when implementing adduct detection in LC-MS metabolomics workflows,Votes: 0GitHub stars: 16
- Mass Tolerance Window FilteringUse when after calculating neutral mass from observed m/z and adductVotes: 0GitHub stars: 16
- Mass Trace Separation By GroupingUse when your pandas DataFrame contains mass spectrometry data with retentionVotes: 0GitHub stars: 16
- Mass Track Consensus ComputationUse when after mass tracks have been aligned across all samples (eitherVotes: 0GitHub stars: 16
- Mass Track Construction From Centroided SpectraUse when when you have centroided mzML files from LC-MS metabolomicsVotes: 0GitHub stars: 16
- Mass Track Extraction And Binning'Use when when you have centroid mzML files from LC-MS metabolomics acquisitionVotes: 0GitHub stars: 16
- Mass2motif Annotation Guidance Via Spectral EmbeddingsUse when after discovering Mass2Motifs through LDA topic modeling ofVotes: 0GitHub stars: 16
- Mass2motif Annotation MappingUse when after LDA-based Mass2Motif discovery has generated a set ofVotes: 0GitHub stars: 16
- Mass2motif Network ConstructionUse when after MS2LDA has inferred a motifset and you need to visualizeVotes: 0GitHub stars: 16
- Mass2motif Parameter OptimizationUse when when you have a preprocessed bag-of-fragments corpus from tandemVotes: 0GitHub stars: 16