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Claude Skills by HolobiomicsLab

github.com/HolobiomicsLab
12,704 skillsA× 12,683B× 13C× 2D× 60 installs6,242 views
Ms Spectra Dataset PreprocessingA

Use when when you have a raw or partially processed MS/MS spectra collection

ai-agentspythongit
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Ms Spectra Extraction And PreprocessingA

'Use when you have raw LC-MS/MS data in mzML or mzXML format and need

ai-agentspythongo
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15
Ms Spectra Inference With Neural NetworksA

Use when you have MGF or native MS/MS arrays (mz_array, intensity_array,

ai-agentspythongit
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15
Ms Spectral Library MatchingA

'Use when when you have a GC-MS dataset (CSV with columns: Component.RT,

ai-agentsgitperformance
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15
Ms Spectral Similarity CalculationA

Use when when comparing two or more MS/MS spectra for compound identification,

ai-agentsjavascriptpython
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15
Ms Spectrum Filtering And NormalizationA

Use when you have raw or parsed tandem MS spectra (MGF, mzML, or in-memory

ai-agentspythongo
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15
Ms Spectrum Similarity GroupingA

Use when after computing a sparse pairwise distance matrix from nearest

ai-agentsgogit
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15
Ms Vendor Documentation ExtractionA

Use when you need to determine the complete set of validated instrument/vendor

ai-agentsgitdocumentation
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Ms1 Composite Spectra DeconvolutionA

Use when you have high-resolution MS1 data (mzXML, mzML, or netCDF format)

ai-agentsgitperformance
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Ms1 Data Preprocessing NormalizationA

Use when when you have loaded raw MS1 data from multiple instrument formats

ai-agentsgit
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15
Ms1 Feature Detection And AnnotationA

Use when you have FIA-MS, LC-MS, or GC-MS full-scan data in mzML format

ai-agentspythongo
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15
Ms1 Feature ExtractionA

Use when when you have an LC-HRMS feature table (with m/z values, retention

ai-agentstestinggit
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15
Ms1 Feature Peak Detection In Full ScanA

Use when you have merged MS1 spectra (output from spectral binning/merging

ai-agentspythongo
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15
Ms1 Feature Ranking And ExtractionA

Use when when you have raw LC-MS data files and need to identify which

ai-agentspythongo
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15
Ms1 Full Scan Acquisition SimulationA

Use when when you need to prototype, test, or benchmark MS1-only acquisition

ai-agentspythongo
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Ms1 Scan Extraction And FilteringA

Use when you have a Thermo Fisher Scientific .raw file from an Orbitrap

ai-agentsc#git
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Ms1 Spectral Annotation Chemical SpaceA

Use when you have (1) a peaklist from untargeted LC/HRMS analysis with

ai-agentsgogit
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Ms1 Spectrum SimulationA

Use when when you need to generate synthetic LC-MS/MS data to test fragmentation

ai-agentsgogit
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Ms1 Spectrum SubsettingA

Use when after generating a scan index from a Thermo Fisher Orbitrap

ai-agentsgoc#
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15
Ms2 Annotation InterpretationA

Use when after GNPS spectral library search has returned matched chemical

ai-agentsgogit
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15
Ms2 Data Preprocessing PipelineA

Use when you have raw MS2 spectra files (mzML, mgf, msp, mzxml) that

ai-agentspythongo
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15
Ms2 DereplicationA

Use when you have MS2 tandem mass spectrometry data in .mzML format and

ai-agentsgodocker
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15
Ms2 Diagnostic Fragment MatchingA

Use when you have centroided MS2 spectra from data-dependent LC- or GC-HRMS

ai-agentspythonc++
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15
Ms2 Fingerprint Blank Contamination RemovalA

Use when after aligning MS2 fingerprints across samples (generating a

ai-agentspythongit
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15
Ms2 Fingerprint Distance CalculationA

Use when after MS2 fingerprints have been generated by counting MS2 peaks

ai-agentspythongo
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15
Ms2 Fingerprint Matrix MergingA

Use when you have two MemoMatrix objects generated from separate sample

ai-agentspythongit
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15
Ms2 Fingerprint Vector GenerationA

Use when you have LC-MS/MS data in mzML, mzXML, or MGF format from one

ai-agentspythongit
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Ms2 Fragment M Z Grouping And AggregationA

Use when you have extracted MS/MS spectra for a given metabolomic feature

ai-agentsgogit
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Ms2 Fragment Pattern RecognitionA

Use when you have data-dependent acquisition (DDA) MS2 spectra from HRMS

ai-agentspythonc++
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Ms2 Fragmentation Spectrum ParsingA

Use when you have raw MS2 spectra in common formats (mzML, mzXML, msp,

ai-agentspythongit
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15
Ms2 Peak Detection And CountingA

Use when you have raw MS2 spectral data (MGF, mzML, or msp format) and

ai-agentspythongo
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15
Ms2 Precursor ExtractionA

Use when when you have a resolved spectrum file in mzML or mzXML format

ai-agentsgogit
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Ms2 Spectra Parsing And LoadingA

Use when when beginning a MEMO analysis workflow with raw or unaligned

ai-agentspythongit
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15
Ms2 Spectra Tic FilteringA

Use when after concatenating replicate MS/MS spectra for each precursor

ai-agentsgit
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Ms2 Spectral Deconvolution And AnnotationA

Use when you have acquired LC-IMS-MS/MS data (or equivalent multidimensional

ai-agentspythongo
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15
Ms2 Spectral Dissimilarity ScoringA

Use when you have MS2 fragmentation spectra from multiple metabolomics

ai-agentsgogit
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15
Ms2 Spectral Feature ExtractionA

Use when you have LC-MS/MS metabolomics data in MGF format and need to

ai-agentspythongo
0
15
Ms2 Spectral InterpretationA

Use when you have extracted an MS1 feature table (from XCMS or custom

ai-agentsgitapi
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15
Ms2 Spectral Library Matching Post DenoisingA

'Use when after frequency-based denoising of MS/MS spectra, when you

ai-agentsgit
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15
Ms2 Spectral Similarity ComputationA

Use when you have two or more LC-MS/MS datasets (in mzML, mzXML, or MGF

ai-agentsgogit
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15
Ms2 Spectral Similarity ScoringA

Use when after temporal intensity profile correlation and exact mass

ai-agentspythongo
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15
Ms2 Spectrum Collection From Data Dependent AcquisitionA

Use when you have DDA LC-MS/MS raw data (mzML format) with detected chromatographic

ai-agentsgitdatabase
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15
Ms2 Spectrum ConsolidationA

Use when after sample alignment and feature grouping steps in untargeted

ai-agentsgodocker
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15
Ms2 Spectrum Extraction And Consensus BuildingA

Use when when you have DDA LC-MS/MS data (mzML format) with identified

ai-agentsgitdatabase
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15
Ms2 Spectrum Feature ExtractionA

Use when you have DDA (data-dependent acquisition) LC-MS/MS data with

ai-agentsgogit
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15
Ms2 Spectrum Format PreparationA

Use when you have raw or unstructured MS2 spectral data (from untargeted

ai-agentsgit
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15
Ms2 Spectrum Peak Filtering By Training Set MembershipA

Use when when you have raw MS2 spectra (m/z and intensity pairs) and

ai-agentspythongit
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15
Ms2lda Feature AnnotationA

Use when after creating a GNPS mass spectral molecular network and running

ai-agentspythongo
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15
Ms2lda Motif MappingA

Use when you have a GNPS-generated molecular network (either classical

ai-agentspythongo
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15
Ms2lda Motif To Network MappingA

Use when when you have a GNPS molecular network (classical or feature-based)

ai-agentspythongo
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15