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Claude Skills by HolobiomicsLab
github.com/HolobiomicsLab4,372 skills13 installs12,718 views
- Network File Format ExportUse when after completing dereplication and cosine similarity clusteringVotes: 0GitHub stars: 16
- Network Graph Manipulation PythonUse when you have a molecular network graph exported from GNPS (as GraphML,Votes: 0GitHub stars: 16
- Network Graph Re Annotation PropagationUse when when you have completed an initial ModiFinder analysis on aVotes: 0GitHub stars: 16
- Network Node Attribute AssignmentUse when you have constructed a NetworkX graph with LC-MS features asVotes: 0GitHub stars: 16
- Network Node Label SpreadingUse when you have an untargeted metabolomics dataset with a two-layerVotes: 0GitHub stars: 16
- Network Topology ComparisonUse when after executing a molecular networking workflow on GC-MS dataVotes: 0GitHub stars: 16
- Network Topology ValidationUse when after retrieving a molecular network file (GraphML or JSON format)Votes: 0GitHub stars: 16
- Networkx Object Generation And ExportUse when after identifying statistically significant features and assigningVotes: 0GitHub stars: 16
- Neural Network Architecture Design SpectraUse when you have preprocessed MS/MS spectra pairs (unknown and knownVotes: 0GitHub stars: 16
- Neural Network Architecture DesignUse when you have raw mzML files and feature tables (CSV from mzMineVotes: 0GitHub stars: 16
- Neural Network Architecture TrainingUse when you have a pretrained TCN spectrum encoder from formula predictionVotes: 0GitHub stars: 16
- Neural Network Based Molecular Formula InferenceUse when you have MS/MS spectra with unknown precursor m/z values andVotes: 0GitHub stars: 16
- Neural Network Encoder FreezingUse when when you have a pre-trained encoder (e.g., TCN spectrum encoderVotes: 0GitHub stars: 16
- Neural Network Encoder ImplementationUse when when you need to benchmark multiple encoder types (e.g., FFNVotes: 0GitHub stars: 16
- Neural Network Ensemble Inference Via DropoutUse when when you have a trained neural network and need to quantifyVotes: 0GitHub stars: 16
- Neural Network Hyperparameter OptimizationUse when when you have preprocessed joint ST/SM AnnData objects (outputVotes: 0GitHub stars: 16
- Neural Network Inference And Embedding ExtractionUse when when you have paired or unpaired MS/MS spectra and need to computeVotes: 0GitHub stars: 16
- Neural Network Inference ExecutionUse when you have (1) a molecular structure input in SMILES, InChI, orVotes: 0GitHub stars: 16
- Neural Network Input PreparationUse when when you have annotated representative LCMS samples (raw mzMLVotes: 0GitHub stars: 16
- Neural Network Layer Design And ImplementationUse when when replacing deprecated model components (e.Votes: 0GitHub stars: 16
- Neural Network Model Deployment In PythonUse when you have a trained conformer-based peak-picking model (in ONNXVotes: 0GitHub stars: 16
- Neural Network Model DeploymentUse when you have LC-MS feature tables (m/z and retention time columns)Votes: 0GitHub stars: 16
- Neural Network Model Inference DeploymentUse when you have a pre-trained neural network model (e.g., MSBERT weightsVotes: 0GitHub stars: 16
- Neural Network Model InferenceUse when you have pre-trained MSGO model weights (PFAS or lipid variant)Votes: 0GitHub stars: 16
- Neural Network Model TrainingUse when you have downloaded LC-MS spectral peak data (DOI 10.25345/C5FD2FVotes: 0GitHub stars: 16
- Neural Network Module Architecture DesignUse when when building an end-to-end deep learning model that must predictVotes: 0GitHub stars: 16
- Neural Network Module ValidationUse when after implementing a neural network component that will feedVotes: 0GitHub stars: 16
- Neural Network Projection Module DesignUse when when you have 512-dimensional (or other fixed-size) representationVotes: 0GitHub stars: 16
- Neural Network Regularization ConfigurationUse when implementing or modifying a Siamese model (such as SiameseModelVotes: 0GitHub stars: 16
- Neural Network Regularization TechniquesUse when when training a deep neural network on paired MS/MS spectraVotes: 0GitHub stars: 16
- Neural Network Scoring RankingUse when when you have an unknown MS/MS spectrum (m/z and intensity pairs),Votes: 0GitHub stars: 16
- Neural Network Threshold OptimizationUse when after training a NeatMS neural network model on labelled peakVotes: 0GitHub stars: 16
- Neural Network Transfer Learning For Spectral ModelsUse when your input is a corpus of MS/MS spectra with annotated molecularVotes: 0GitHub stars: 16
- Neutral Loss Annotation InterpretationUse when when building Word2Vec or embedding-based spectral similarityVotes: 0GitHub stars: 16
- Neutral Loss Calculation From Precursor Fragment PairsUse when during MS/MS spectral preprocessing when converting raw spectraVotes: 0GitHub stars: 16
- Neutral Loss Calculation From PrecursorUse when when converting MS/MS spectra into spectral documents for Spec2VecVotes: 0GitHub stars: 16
- Neutral Loss Composition MatchingUse when after LDA modeling has inferred a set of Mass2Motifs (in JSONVotes: 0GitHub stars: 16
- Neutral Loss Extraction And WeightingUse when you have a collection of annotated MS/MS spectra with precursorVotes: 0GitHub stars: 16
- Neutral Loss Extraction From Fragmentation SpectraUse when preparing MS/MS spectra for bag-of-fragments conversion andVotes: 0GitHub stars: 16
- Neutral Loss Extraction From Precursor MassUse when after loading and noise-filtering raw MS/MS spectra (in .mgf,Votes: 0GitHub stars: 16
- Neutral Loss Feature Extraction From SpectraUse when you have MS2 spectra data (MGF/mzML format) and aligned featureVotes: 0GitHub stars: 16
- Neutral Loss Formula ComputationUse when you have tandem mass spectra with precursor m/z and observedVotes: 0GitHub stars: 16
- Neutral Loss Peak InterpretationUse when you have a tandem mass spectrum (MSMS) loaded via USI and wishVotes: 0GitHub stars: 16
- Neutral Loss PredictionUse when you have LC-HRMS features with fragmentation data (observedVotes: 0GitHub stars: 16
- Neutral Mass Derivation From MzUse when after adduct configuration is complete and before querying formulaVotes: 0GitHub stars: 16
- Neutral Mass Inference From Ion EnsembleUse when you have a connected subnetwork of feature ions that have beenVotes: 0GitHub stars: 16
- Neutral Mass Inference Via RegressionUse when use this skill after khipu has assigned observed ions to gridVotes: 0GitHub stars: 16
- Newick Format ParsingUse when you have a Chemical Feature Tree artifact (phylogeny) outputVotes: 0GitHub stars: 16
- Nextflow Pipeline Configuration HpcUse when your analysis target is an HPC environment (e.g., Slurm-managedVotes: 0GitHub stars: 16
- Nextflow Pipeline OrchestrationUse when when you have raw LC-HRMS metabolomics data in .mzML or .Votes: 0GitHub stars: 16