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Claude Skills by HolobiomicsLab

github.com/HolobiomicsLab
12,704 skillsA× 12,683B× 13C× 2D× 60 installs6,259 views
Q Value Based Confidence FilteringA

Use when after loading feature identification results (e.g., from OpenSwath

ai-agentsgit
0
15
Qc Biological Sample StratificationA

Use when after metabolomics data normalization when both QC (quality

ai-agentsgogit
0
15
Qc Coefficient Of Variation CalculationA

Use when after extracting NMR spectra and designating replicate QC samples

ai-agentstestinggit
0
15
Qc Dilution Consistency ValidationA

Use when after CV-based and blank-contribution filtering when you have

ai-agentsgit
0
15
Qc Failure Event DetectionA

Use when rapid QC-MS is actively monitoring LC-MS data acquisition and

ai-agentspythongo
0
15
Qc Metric Visualization Across SamplesA

Use when you have processed LC-MS peak detection output or feature tables

ai-agentsapiperformance
0
15
Qc Reference Chromatogram ExtractionA

Use when when processing a batch of LC-MS samples in mzML or mzXML format

ai-agentsgit
0
15
Qc Replicate Identification And GroupingA

Use when you have a QC-annotated LC-MS feature table (CSV or data frame

ai-agentsgogit
0
15
Qc Sample Batch Drift CorrectionA

Use when you have a QC-annotated feature table (samples × features with

ai-agentsgogit
0
15
Qc Sample Classification LabelingA

Use when when loading multiple LC-MS runs (mzML files) into an MsExperiment

ai-agentsgitbackend
0
15
Qc Sample Filtering Multi Step CriteriaA

Use when after feature extraction from XCMS, MS-Dial, or similar tools

ai-agentsgit
0
15
Qc Sample Integration NormalizationA

Use when normalizing multi-batch metabolomics intensity matrices where

ai-agentsgogit
0
15
Qc Sample Quality AssessmentA

Use when after drift correction and before imputation when you have LC-MS

ai-agentsgoexpress
0
15
Qc Sample Reliability EvaluationA

Use when after drift correction has been applied to your LC-MS peak table

ai-agentsexpressgit
0
15
Qc Sample Type ClassificationA

Use when when constructing a sample list from an Excel template for LC/GC-MS

ai-agentsgogit
0
15
Qc Sample Variability AssessmentA

Use when after batch correction of a metabolomics dataset using pooled

ai-agentsgit
0
15
Qc Signal NormalizationA

Use when your metabolomic dataset contains dedicated QC samples (pooled

ai-agentsgoexpress
0
15
Qc Summary Data ExtractionA

Use when after applying one or more mpactr filters (filter_mispicked_ions,

ai-agentsgogit
0
15
Qc Summary Table ExtractionA

Use when after applying one or more mpactr filters (filter_mispicked_ions,

ai-agentsgogit
0
15
Qc Type Color Marker AssignmentA

Use when configuring a new injection-plate design template in InjectionDesign

ai-agentsgogit
0
15
Qc Workflow Component InspectionA

Use when you have acquired a versioned QC workflow definition file (YAML

ai-agentsgit
0
15
Qcpool Cv CalculationA

Use when you have Sciex Multiquant txt exports containing signal intensities

ai-agentsgogit
0
15
Qcpool Sample IdentificationA

Use when you have Sciex Multiquant (≥v3.0.3) TXT export files containing

ai-agentspythongo
0
15
Qiime2 Artifact HandlingA

Use when you have raw mass-spectrometry files (MGF, BIOM, mzXML, mzML)

ai-agentsgit
0
15
Qiime2 Artifact InspectionA

Use when you need to verify that a QIIME 2 artifact (e.g., a Chemical

ai-agentsgonode
0
15
Qm Output Parsing And AggregationA

Use when you have completed parallel QUICK quantum calculations on multiple

ai-agentsgit
0
15
Qr Code Generation And EmbeddingA

Use when you need to publish metabolomics spectra in static media (PDF,

ai-agentspythongit
0
15
Qt Application Compilation And PackagingA

Use when you have a Qt5-based C++ GUI application source tree (e.g.,

ai-agentsc++sql
0
15
Qt Widget Rendering ControlA

Use when you need to restrict a Qt widget's display to a subset of its

ai-agentsawstesting
0
15
Quality Assurance Contamination RemovalA

Use when you have a feature quantification table exported from MZmine3

ai-agentspythongo
0
15
Quality Control Interval DetectionA

Use when when you have Sciex Multiquant TXT export files containing injection

ai-agentspythongo
0
15
Quality Control Merge VerificationA

Use when after performing an inner or left join operation to combine

ai-agentspythonrust
0
15
Quality Control Metabolite IdentificationA

Use when you have loaded a metabolomics dataset with a metabolitedata

ai-agentsgitperformance
0
15
Quality Control Metric ComputationA

Use when after feature integration and imputation when you have QC-annotated

ai-agentsgogit
0
15
Quality Control Metric Distribution AnalysisA

Use when after composite-map peak detection has produced an unfiltered

ai-agentspythongo
0
15
Quality Control Metric EvaluationA

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

ai-agentsgogit
0
15
Quality Control Metric InterpretationA

Use when after normalizing a metabolomics featuredata matrix (samples

ai-agentsgit
0
15
Quality Control Metric Threshold ConfigurationA

Use when you have a SummarizedExperiment object from a metabolomics study

ai-agentsgotesting
0
15
Quality Control Report GenerationA

Use when after completing doAnalysis on an mzQuality SummarizedExperiment

ai-agentsgit
0
15
Quality Control Sample AggregationA

Use when you have a feature intensity matrix (peak vector) and a corresponding

ai-agentsgit
0
15
Quality Control Sample DesignationA

Use when when importing a new batch of centroided mzML or mzXML LC-MS

ai-agentsgit
0
15
Quality Control Sample FilteringA

Use when after building a SummarizedExperiment from metabolomics measurements

ai-agentsgit
0
15
Quality Control Sample Identification LcmsA

Use when when you have XCMS-preprocessed LC-MS metabolomics data with

ai-agentsgogit
0
15
Quality Control Sample Integration In NormalizationA

Use when your multi-class metabolomic peak table includes quality control

ai-agentstestinggit
0
15
Quality Control Sample Metadata ExtractionA

Use when you have txt files exported from Sciex MultiQuant (>v3.0.

ai-agentsgogit
0
15
Quality Control Sample Outlier DetectionA

Use when you have a SummarizedExperiment object containing pooled quality

ai-agentsgit
0
15
Quality Control Sample Ratio CalculationA

Use when you have preprocessed metabolomics data stored in a SummarizedExperiment

ai-agentsgit
0
15
Quality Control Sample Selection And MarkingA

Use when your metabolomics dataset contains samples analyzed across multiple

ai-agentsgogit
0
15
Quality Control Summary GenerationA

Use when after applying one or more mpactr filters (mispicked, group,

ai-agentsgogit
0
15
Quality Control Threshold ApplicationA

Use when when you have a raw feature abundance matrix with missing values

ai-agentspythonexpress
0
15