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Claude Skills by HolobiomicsLab

github.com/HolobiomicsLab
12,704 skillsA× 12,683B× 13C× 2D× 60 installs5,683 views
Feature Table Annotation Table ConstructionA

Use when after feature extraction from XCMS or MS-Dial when you have

ai-agentsgogit
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Feature Table Annotation With Sample MetadataA

Use when your input is a feature intensity table (CSV or R data frame)

ai-agentsgogit
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15
Feature Table Blank Intensity DetectionA

Use when after loading an MZmine3-exported feature quantification table

ai-agentspythongo
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15
Feature Table Comparison AnalysisA

Use when after running Paramounter's peak-height optimization on XCMS

ai-agentsgogit
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15
Feature Table Consensus AggregationA

Use when you have detected feature tables from multiple LC-IMS-MS/MS

ai-agentspythongo
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15
Feature Table Construction For Multivariate AnalysisA

Use when when you have high-resolution mass-spectrometry (HRMS) breath

ai-agentspythongo
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15
Feature Table Export And FormattingA

Use when after completing feature detection, alignment, and optional

ai-agentspythongo
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15
Feature Table Export And ValidationA

Use when after executing an MZmine batch processing workflow on raw metabolomics

ai-agentspythongo
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15
Feature Table Filtering LogicA

Use when when you have a quantitative feature table (peak intensities

ai-agentsgotesting
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15
Feature Table Format ConversionA

Use when you have raw feature tables exported from NPP tools (XCMS, MZmine

ai-agentsgogit
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15
Feature Table Format HandlingA

Use when transitioning feature intensity data between pipeline stages

ai-agentsgogit
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15
Feature Table Gap FillingA

Use when you have an aligned feature table from untargeted LC-MS with

ai-agentsgogit
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15
Feature Table Generation From Aligned SpectraA

Use when after retention-time and m/z-based peak alignment has been completed

ai-agentsgotesting
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15
Feature Table Generation From ChromatographyA

Use when after retention-time correction and alignment of centroided

ai-agentsgogit
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15
Feature Table Integration And NormalizationA

Use when when you have MS1 feature tables from heterogeneous sources—e.g.,

ai-agentsgit
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15
Feature Table Matrix AssemblyA

Use when when you need to generate a realistic LC/GC-MS feature table

ai-agentsgogit
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15
Feature Table Moniker ManagementA

Use when when processing a metabolomics feature table through multiple

ai-agentspythonbash
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15
Feature Table Moniker Registration And VersioningA

Use when after Asari completes feature detection and produces multiple

ai-agentspythongit
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15
Feature Table NormalizationA

Use when you have peak/feature tables from one or more peak picking tools

ai-agentsgit
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15
Feature Table Parsing And LoadingA

Use when you have extracted volatile organic compound (VOC) features

ai-agentspythongit
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15
Feature Table Quality ControlA

Use when when you have a feature intensity matrix (samples × compounds)

ai-agentsgit
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15
Feature Table Row Count ValidationA

Use when after peak quality filtering has been applied to a composite

ai-agentspythongo
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15
Feature Table StandardizationA

Use when you have feature tables from external metabolomics software

ai-agentsgit
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15
Feature Table Subsetting And ExportA

Use when you have a raw metabolite abundance matrix with substantial

ai-agentsgogit
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15
Feature Table SubsettingA

'Use when after loading an MS-DIAL feature table when you need to separate

ai-agentsrailsgit
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15
Feature To Metabolite Network PropagationA

Use when you have an untargeted metabolomics feature table (m/z, retention

ai-agentspythongo
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15
Feature Transformation And ScalingA

'Use when after imputation and QC sample correction when: (1) your peak

ai-agentsgoexpress
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15
Feature Vector Naming ConventionA

Use when when applying sequential transformations to a metabolomics feature

ai-agentsrailsgit
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15
Feature Vector Similarity Search PreparationA

Use when you have millions of MS/MS spectra in mzML, mzXML, or MGF format

ai-agentspythongo
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15
Feature Wise Spectrum Count AggregationA

Use when when you have extracted concatenated MS/MS spectra for multiple

ai-agentsgitdocumentation
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Feedforward Network ConfigurationA

Use when when implementing multiple spectrum predictor baseline models

ai-agentspythonexpress
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15
Feedforward Neural Network Architecture DesignA

Use when you have preprocessed molecular structures as fixed-length feature

ai-agentsgogit
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15
Few Shot Learning Calibration DesignA

Use when you have experimental retention times measured on a source chromatographic

ai-agentsgitapi
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15
Fiams Spectra Window Extraction And MergingA

Use when you have raw FIA-MS full-scan data in mzML format and need to

ai-agentspythongo
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15
Fid To Frequency Domain Fourier TransformationA

Use when after simulating and convolving individual metabolite multiplets

ai-agentspythonexpress
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15
Field Exclusion FilteringA

Use when when transforming tabular data via the matrix directive and

ai-agentspythongit
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15
Field Mapping And TransformationA

Use when converting intermediate JSONized experimental metadata (extracted

ai-agentspythonrust
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15
Field Type IdentificationA

Use when when working with JSON project documents that must conform to

ai-agentsgogit
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15
File Api Endpoint ImplementationA

Use when when you need to construct a POST endpoint that ingests raw

ai-agentspythonbash
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15
File Compression And ArchivingA

Use when when a spectral processing operation produces multiple output

ai-agentspythonbash
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15
File Format Compliance ValidationA

Use when you have generated or received mzPeak files from a Rust, Python,

ai-agentspythonrust
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15
File Format Conversion Peak Picking To LipidmatchA

Use when you have generated a peak table or feature list from MZmine,

ai-agentsgit
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15
File Format Conversion TroubleshootingA

Use when when integrating MSConvert into an automated LC-MS QC workflow

ai-agentspythontesting
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15
File Format Conversion ValidationA

Use when when you have raw mzML or mzXML mass spectrometry data files

ai-agentsc++git
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15
File Format Detection And RoutingA

Use when when you receive a mass spectrometry imaging dataset in unknown

ai-agentspythonsql
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15
File Format Detection By ExtensionA

Use when when building a file I/O abstraction layer that must support

ai-agentspythonsql
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15
File Format Dispatch And Handler RoutingA

Use when you have a parser library that must support multiple file formats

ai-agentspythonsql
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15
File Format Export And ValidationA

Use when after executing MassQL queries on mass spectrometry data that

ai-agentssqlgit
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15
File Format Handling Csv ExcelA

Use when you have molecular descriptor data in CSV or EXCEL format and

ai-agentspythongit
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15
File Format Identification Mass SpectrometryA

Use when you have raw MS data files from one or more instrument vendors

ai-agentspythongo
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15