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Claude Skills by HolobiomicsLab

github.com/HolobiomicsLab
12,704 skillsA× 12,683B× 13C× 2D× 60 installs6,263 views
Shiny App Configuration DeploymentA

Use when you have built a Shiny application (global.R, ui.R, server.

ai-agentsgoreact
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15
Shiny App InitializationA

Use when you have developed an R-based workflow (e.g., data processing,

ai-agentsreactgit
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15
Shiny Application Cross Platform AdaptationA

Use when when a Shiny application is documented or observed to run only

ai-agentstestingrefactoring
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15
Shiny Interface DevelopmentA

Use when you have a complete R package (e.g., pmartR) implementing a

ai-agentspythonreact
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15
Shiny Plot Export ConfigurationA

Use when when building or maintaining a Shiny GUI for omics data analysis

ai-agentsjavascriptpython
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15
Shiny Reactive ProgrammingA

Use when you have an R package with analytical functions (e.g., meta-analysis,

ai-agentsjavascriptjava
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15
Shiny Ui Component ImplementationA

Use when you have an existing R package with statistical or data-processing

ai-agentsreactexpress
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15
Siamese Architecture Module IntegrationA

Use when when refactoring a mass-spectrometry formula-prediction codebase

ai-agentspythonrefactoring
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15
Siamese Architecture ScoringA

Use when after a TCN-based formula prediction model has generated initial

ai-agentspythongit
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15
Siamese Network Architecture ModificationA

Use when when you need to reduce overfitting in a Siamese neural network

ai-agentspythongit
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15
Siamese Network Embedding GenerationA

Use when you have preprocessed MS/MS spectra binned into 10,000 equally-sized

ai-agentspythongo
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15
Siamese Network Inference Spectrum PairsA

Use when you have a collection of preprocessed tandem mass spectra (binned

ai-agentspythonnode
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15
Siamese Network InferenceA

Use when you have a collection of cleaned MS/MS spectra (in formats like

ai-agentspythongit
0
15
Siamese Neural Network Architecture DesignA

Use when when you have pairs of mass spectrometry spectra and need to

ai-agentspythongo
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15
Side Chain Representation LearningA

Use when working with natural product molecules where conventional synthetic-molecule

ai-agentspythonnode
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15
Signal Acquisition Error QuantificationA

Use when you have processed the same GC–MS dataset (m/z vs retention

ai-agentsgogit
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15
Signal Anomaly Detection ChromatographyA

Use when you have raw total ion current (TIC) traces extracted from mass

ai-agentstestinggit
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15
Signal Apodization ConfigurationA

Use when when processing raw Bruker Solarix transient files (.d format)

ai-agentsgit
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15
Signal Intensity NormalizationA

Use when after loading raw LC-MS data from multiple disease groups when

ai-agentspythongo
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15
Signal Noise Ratio Improvement ValidationA

Use when after executing multidimensional smoothing, spike removal, or

ai-agentsgogit
0
15
Signal Noise Trade Off EvaluationA

'Use when after generating consensus spectra with fragment recurrence

ai-agentsperformance
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15
Signal Peptide Prediction And LocalizationA

Use when you have differentially expressed isoform or exon FASTA sequences

ai-agentsexpressperformance
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15
Signal Preprocessing Chain Normalization Smoothing BaselineA

Use when apply this preprocessing chain when you have loaded raw or continuous

ai-agentsgotesting
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15
Signal Processing Prominence FilteringA

Use when when you have a 1D intensity array from a mass spectrum (m/z

ai-agentspythongo
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15
Signal Quality AssessmentA

Use when you have imported raw MSI spectral data in imzML format and

ai-agentspythongit
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15
Signal Quality Enhancement Low Abundance IonsA

Use when you observe jagged or noisy peak profiles in low-abundance ions

ai-agentsgogit
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15
Signal Residual DeconvolutionA

Use when analyzing 1D signal arrays (e.g., extracted ion chromatograms,

ai-agentsangulargit
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15
Signal Smoothing PreprocessingA

Use when when working with raw LC-HRMS profile-mode data containing noisy

ai-agentspythongo
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15
Signal To Noise Filtering For Peak CandidatesA

Use when immediately after peak detection in the IDSL.IPA workflow, when

ai-agentsgogit
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15
Signal To Noise Ratio AssessmentA

Use when when preparing a 1D 1H NMR spectral peak list for input to the

ai-agentsgitdatabase
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15
Signal To Noise Ratio Calculation PeaksA

Use when after elution peaks have been detected on composite mass tracks

ai-agentspythongit
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15
Signal To Noise Ratio ComputationA

Use when after peak detection in nontargeted LC-MS workflows when you

ai-agentspythongo
0
15
Signal Trend Assessment Across InjectionsA

Use when you have QCpool (pooled quality control) samples measured at

ai-agentsgogit
0
15
Silhouette Analysis Threshold OptimizationA

Use when when you have a pre-computed hierarchical dendrogram from structural

ai-agentspythonrust
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15
Similarity Matrix ExportA

Use when after computing pairwise similarity scores across a collection

ai-agentspythonangular
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15
Similarity Matrix Generation And StorageA

Use when when you have cleaned and filtered mass spectrometry spectral

ai-agentspythongo
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15
Similarity Matrix GenerationA

Use when you have a collection of cleaned spectra in supported formats

ai-agentspythongo
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15
Similarity Network Construction From Domain AdjacencyA

Use when you have a collection of tokenized BGCs (each gene represented

ai-agentsgonode
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15
Similarity Ranking And Retrieval EvaluationA

Use when after training contrastive embeddings that unify MS/MS spectra

ai-agentspythonperformance
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15
Similarity Score Computation For SpectraA

Use when you have a preprocessed unknown sample spectrum (m/z peaks and

ai-agentsgogit
0
15
Similarity Score ComputationA

Use when when you have a query electron ionization mass spectrum (m/z

ai-agentsgogit
0
15
Similarity Score SortingA

Use when after a deep-learning model has predicted structural similarity

ai-agentsgitdatabase
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15
Similarity Scoring For SpectraA

Use when you have LC-MS/MS query spectra in mgf format that you need

ai-agentsgodatabase
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15
Similarity Threshold InterpretationA

Use when when you have computed Spec2Vec similarity scores (typically

ai-agentspythongit
0
15
Simulation Control Loop ArchitectureA

Use when you have a set of metabolites or chemical formulas to analyze

ai-agentspythongo
0
15
Simulation Evaluation Data CaptureA

Use when when you have simulated DDA (data-dependent acquisition) scans

ai-agentsgorails
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15
Simulation Output SerializationA

Use when after a ViMMS Environment.run() simulation completes with save_eval

ai-agentspythongo
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15
Simulation Output ValidationA

Use when after executing a multi-stage simulation workflow in R and/or

ai-agentspythongo
0
15
Simulation Parameter VariationA

Use when when you have a computational simulation framework (e.

ai-agentspythongit
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15
Simulation Result ReproductionA

Use when when you have access to a study's source repository containing

ai-agentspythongit
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15