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Claude Skills by HolobiomicsLab

github.com/HolobiomicsLab
12,704 skillsA× 12,683B× 13C× 2D× 60 installs5,708 views
Log Transform Normalization For MetabolomicsA

Use when after chromatographic peak detection, fill-in of missing peaks,

ai-agentsgogit
0
15
Log Transformation And Scale AdjustmentA

Use when raw metabolomics peak intensity data exhibits right-skewed distributions

ai-agentsgodebugging
0
15
Log Transformation ApplicationA

Use when apply log-transformation immediately after loading a raw metabolomics

ai-agentsgit
0
15
Log Transformation PreprocessingA

Use when apply log transformation when peak intensity distributions are

ai-agentstestinggit
0
15
Logging And Audit Trail GenerationA

Use when when implementing a metadata annotation pipeline for mass spectra

ai-agentspythonrust
0
15
Logical Operator Precedence In Gpr RulesA

Use when when computing Reaction Activity Scores (RAS) from transcriptomics

ai-agentspythongo
0
15
Long Format Data ReshapingA

Use when when you have a wide-format feature intensity table (samples

ai-agentsgotesting
0
15
Longitudinal Data AnalysisA

Use when you have imputed metabolomics data in long format (with id,

ai-agentsgotesting
0
15
Lossless Compression DecompressionA

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

ai-agentsc++git
0
15
Lotus Metadata StandardizationA

Use when you have raw compound or natural-product metadata in spreadsheet

ai-agentspythongo
0
15
Low Energy Structure SelectionA

Use when after generating an ensemble of 3D conformers via RDKit conformation

ai-agentspythongo
0
15
Low Resolution Compound IdentificationA

Use when you have low-resolution GC-MS data (e.g., ANDI NetCDF format)

ai-agentsgosql
0
15
Low Resolution Mass Spectra Library MatchingA

Use when when processing low-resolution GC-MS data in NetCDF format where

ai-agentsgosql
0
15
Low Resolution Mass Spectrometry AnalysisA

Use when you have low-resolution MS data (e.g., from quadrupole instruments)

ai-agentsgit
0
15
M Z Alignment Across SamplesA

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

ai-agentspythongit
0
15
M Z Alignment And Mass Grid AssemblyA

Use when when processing multiple centroided mzML LC-MS files from the

ai-agentspythongit
0
15
M Z And Retention Time Window ValidationA

Use when before committing to full-scale targeted peak integration across

ai-agentsgogit
0
15
M Z Annotation Reduction QuantificationA

Use when you have spatial metabolomics data with semi-colon-delimited

ai-agentsgogit
0
15
M Z Array ProcessingA

Use when when you have imported MSI data (imzML or vendor format) loaded

ai-agentspythongo
0
15
M Z Based Feature GroupingA

Use when after retention-time clustering has grouped features from multiple

ai-agentsgit
0
15
M Z Database Matching With Mass ToleranceA

Use when you have a set of observed m/z values extracted from a Cardinal

ai-agentsexpressgit
0
15
M Z Intensity CalibrationA

Use when you have raw or processed MS spectrum data (m/z and intensity

ai-agentsgogit
0
15
M Z Intensity Feature ExtractionA

Use when you have imported mass spectrometry data in .raw, .d, or mzXML

ai-agentstestinggit
0
15
M Z Metabolite Annotation MappingA

'Use when when you have a spatial metabolomics or LC-MS dataset with

ai-agentsgoexpress
0
15
M Z Retention Time Correspondence MappingA

Use when you have two peak-picked, conventionally aligned untargeted

ai-agentsgit
0
15
M Z Retention Time Feature MatchingA

Use when after extracting a feature table from XCMS, MS-Dial, or similar

ai-agentsgogit
0
15
M Z Rt Feature MatchingA

Use when you have extracted peaks from multiple LC/HRMS batches (n >

ai-agentsgogit
0
15
M Z To Normalized Kendrick Mass ConversionA

Use when you have uploaded peak list data containing m/z values and wish

ai-agentsjavascriptgo
0
15
M Z Tolerance Window MatchingA

Use when when you have detected features with m/z, drift time, and retention

ai-agentspythongo
0
15
M Z Value Clustering Mass SpectrometryA

Use when processing extracted peak lists from MSI data and you need to

ai-agentsgogit
0
15
M Z Value Ordering EnforcementA

Use when when implementing or modifying data replacement methods (e.g.,

ai-agentsgogit
0
15
M Z Window Tolerance ApplicationA

Use when after parsing an imzML XML metadata file and loading the corresponding

ai-agentspythongo
0
15
Machine Learning Based Conformation FilteringA

Use when when you have generated multiple 3D conformations for a molecule

ai-agentspythongo
0
15
Machine Learning Cross Validation TrainingA

Use when you have a labeled dataset (e.g., mass spectra with molecular

ai-agentspythonnode
0
15
Machine Learning Hyperparameter ExtractionA

Use when you have completed cross-validation tuning of one or more machine-learning

ai-agentsgogit
0
15
Machine Learning Model Application To LipidomicsA

Use when you have MS-DIAL lipid identifications from an Orbitrap or TOF

ai-agentspythonrust
0
15
Machine Learning Model Evaluation With Confusion MatricesA

Use when after fitting a random forest model to metabolomics count data

ai-agentsgonode
0
15
Machine Learning Model EvaluationA

Use when you have a trained NeatMS neural network model and a labelled

ai-agentspythongo
0
15
Machine Learning Model InferenceA

Use when you have molecular descriptors or fingerprints for a set of

ai-agentspythongo
0
15
Machine Learning Model Selection And ComparisonA

Use when when you have a preprocessed metabolomics feature matrix with

ai-agentsgoexpress
0
15
Machine Learning Model Training SklearnA

Use when your metabolomics analysis pipeline requires CCS value prediction

ai-agentspythongo
0
15
Machine Learning Model Training With Cross ValidationA

Use when when you have a labeled peak quality matrix (with known pass/fail

ai-agentsgotesting
0
15
Machine Learning Model TrainingA

Use when you have a labeled dataset of DIA raw files (.raw, .d, .wiff)

ai-agentspythongo
0
15
Machine Learning Performance Metric EvaluationA

Use when after training a binary MS/MS spectral classifier on labeled

ai-agentsgitperformance
0
15
Machine Learning Pipeline Integration TestingA

Use when you have adapted an ML pipeline (e.g., MSNovelist) to consume

ai-agentspythongo
0
15
Machine Learning Regulatory PredictionA

Use when you have matched multiomics data (CNV, mutations, DNA methylation,

ai-agentspythonreact
0
15
Mahalanobis Distance CalculationA

Use when after data normalization (Box-Cox transformation) and before

ai-agentsgotesting
0
15
Maldi Imaging Mass Spectrometry Data InterpretationA

Use when you have paired pre- and post-MALDI microscopy images with visible,

ai-agentspythongo
0
15
Mandatory Field VerificationA

Use when after generating mzPeak files from prototype implementations

ai-agentstypescriptpython
0
15
Manifest Generation And DocumentationA

Use when you need to audit a bioinformatics repository (such as MIBiG)

ai-agentsgitdatabase
0
15