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Claude Skills by HolobiomicsLab

github.com/HolobiomicsLab
12,704 skillsA× 12,683B× 13C× 2D× 60 installs5,700 views
Intensity Dependent Missing Value SimulationA

Use when augmenting mass spectrometry ion images in ISO mode (isotope

ai-agentspythonperformance
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Intensity Distribution SimulationA

Use when when you need to create synthetic noisy MS/MS spectra from clean

ai-agentspythongo
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15
Intensity Drift Artifact DetectionA

Use when processing raw MS intensity tables from long measurement sequences

ai-agentsgogit
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15
Intensity Frequency AnalysisA

Use when you have an MS/MS peak list and need to remove electronic noise—specifically

ai-agentspythongo
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15
Intensity Normalization And ScalingA

Use when when working with raw or filtered MsmsSpectrum objects where

ai-agentspythongo
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15
Intensity Normalization SpectraA

Use when after noise reduction when working with imported imzML MSI data

ai-agentspythongit
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Intensity Threshold EvaluationA

Use when you have processed LC-MS data (mzML or vendor format) and need

ai-agentsgogit
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15
Intensity Threshold Filtering Ms DataA

Use when when you have loaded aligned peak data (from a preceding molecular

ai-agentspythongit
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15
Intensity Threshold Noise FilteringA

Use when you have loaded a raw or partially processed MsmsSpectrum object

ai-agentspythongit
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15
Intensity To Absolute Concentration ConversionA

Use when your lipidomics experiment includes spiked internal lipid standards

ai-agentsgogit
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15
Intensity To Concentration ConversionA

Use when you have raw mass spectrometry intensity measurements from sample

ai-agentsgogit
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15
Intensity Value Aggregation Across ReplicatesA

Use when after peak recognition has identified features (m/z and retention

ai-agentspythongo
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15
Intensity Vector Manipulation NumpyA

Use when you have extracted mass tracks (EICs) from multiple LC-MS samples

ai-agentspythongit
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15
Inter Sample Variance CalculationA

Use when after applying batch correction (e.g., via pycombat) to a multi-batch

ai-agentspythongo
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15
Inter Scan Interval ValidationA

Use when after acquiring a PRM experiment on a Thermo Fisher Orbitrap

ai-agentsreactgit
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Interactive Application Accessibility TestingA

Use when after instantiating a specXplore dashboard session layer with

ai-agentspythonc++
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Interactive Data Exploration DesignA

Use when you have NMR metabolomics measurements paired with pre-analytical

ai-agentsgotesting
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15
Interactive Filter Control Design WebA

Use when when you have a web-based visualization of aligned mass spectrometry

ai-agentsjavascriptpython
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15
Interactive Filter Definition TrelliscopeA

Use when you have omics statistical results (p-values, effect sizes,

ai-agentsexpressrails
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Interactive Html Figure Generation PlotlyA

Use when your mass spectrometry DataFrame contains m/z, retention time

ai-agentsjavascriptpython
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15
Interactive Mass Spectrometry Plot Generation And AnnotationA

Use when when you have extracted ion chromatograms (XICs), ion mobilograms

ai-agentspythongo
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Interactive Network Visualization RenderingA

Use when after structural clustering (isotopologue grouping, adduct detection,

ai-agentsjavascriptpython
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Interactive Plot Axis Selection UiA

Use when when you have a high-resolution mass spectrometry dataset with

ai-agentsgogit
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Interactive Plot Backend EvaluationA

Use when you have mass spectrometry data (chromatograms, spectra, peak

ai-agentspythongo
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15
Interactive Plot Construction Mass SpecA

Use when after LC-MS data has been converted to mzML format and processed

ai-agentspythongo
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Interactive Plot Customization BokehA

Use when when you have loaded extracted ion chromatogram traces (via

ai-agentsgitapi
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15
Interactive Plot EmbeddingA

Use when you have resolved USI (Unified Spectrum Identifier) spectrum

ai-agentsgogit
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15
Interactive Plot Generation And ExportA

Use when after normalizing a featuredata matrix (samples × metabolites),

ai-agentsgogit
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Interactive Plot GenerationA

Use when you have loaded m/z and intensity arrays from an MZA file (via

ai-agentspythongit
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15
Interactive Plot Rendering BokehA

Use when when you have mass spectrometry data in a Pandas DataFrame with

ai-agentsjavascriptpython
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Interactive Plot RenderingA

Use when you have validated omics data loaded into R (expression matrices,

ai-agentsgoreact
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Interactive Region Of Interest RefinementA

Use when after loading a LA-ICP-MS image into pew², you need to isolate

ai-agentspythongo
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15
Interactive Spectral Visualization EmperorA

Use when when you have computed PCA coordinates from chemical annotation

ai-agentsgotesting
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15
Interactive Visualization InspectionA

Use when after msFeaST pipeline execution has produced a dashboard_data.json

ai-agentsjavascriptpython
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Interactive Workflow ValidationA

'Use when after automated peak detection has identified candidate peaks

ai-agentsgogit
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15
Interference Profile IdentificationA

Use when after running saturation repair or multidimensional smoothing

ai-agentsgogit
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15
Internal Standard Area Aberrancy FlaggingA

Use when after building a SummarizedExperiment from metabolomics data

ai-agentsgit
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15
Internal Standard Area Mis Injection FlaggingA

Use when after building a SummarizedExperiment object containing LC-MS

ai-agentstestinggit
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15
Internal Standard Feature ExtractionA

Use when you have processed LC-MS run data (feature table or peak detection

ai-agentsgoapi
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15
Internal Standard Intensity CalibrationA

Use when you have added a known internal standard compound to your nano-DESI

ai-agentspythongit
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15
Internal Standard Intensity ExtractionA

Use when you have lipidomics data from LipidSearch or LIQUID output that

ai-agentsgogit
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15
Internal Standard Ion Selection And ApplicationA

Use when after isotope correction has been applied to MSI ion images,

ai-agentsgogit
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15
Internal Standard NormalizationA

Use when your metabolomics dataset includes internal standard metabolites

ai-agentsdebugginggit
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Internal Standard Optimization SelectionA

Use when you have preprocessed metabolomics data with multiple candidate

ai-agentsgit
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15
Internal Standard Peak Detection And ValidationA

Use when you have loaded processed LC-MS data (mzML or vendor format)

ai-agentsrustgit
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15
Internal Standard Selection OptimizationA

Use when after batch correction of metabolomics QC samples using pooled

ai-agentsgogit
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15
Internal Standardization Correction LipidomesA

Use when you have IM-MS lipidomics data from samples spiked with U13C-labeled

ai-agentsgogit
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15
Internal Standardization Lipid MappingA

Use when you have (LC-)IM-MS lipidomics data from samples spiked with

ai-agentsgit
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15
Internal Standardization With Isotope LabelsA

Use when your IM-MS lipidomics samples have been spiked with fully labeled

ai-agentsgit
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Interoperability TestingA

Use when when a new file format specification exists as a living document

ai-agentsjavascripttypescript
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