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Claude Skills by HolobiomicsLab

github.com/HolobiomicsLab
12,704 skillsA× 12,683B× 13C× 2D× 60 installs6,742 views
S4 Class Object Memory ProfilingA

Use when when designing or optimizing S4-based data backends (such as

ai-agentsgosql
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S7 Object Construction And ValidationA

Use when after successfully parsing vendor-specific metabolomic data

ai-agentsgit
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15
Sample Batch Balancing Across Classification DimensionsA

Use when designing multi-batch LC/GC-MS experiments where samples belong

ai-agentsgogit
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15
Sample Batch Metadata OrganizationA

Use when you have tab-delimited metabolomics data with columns for aliquot

ai-agentsangulargit
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15
Sample Capacity Constraint SettingA

Use when when designing injection sequences for LC/GC-MS multi-omics

ai-agentsgit
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15
Sample Centric Metabolite AnnotationA

Use when after MZmine feature detection and molecular networking on a

ai-agentsbashgit
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15
Sample Group Injection AggregationA

Use when when you have picked and annotated MS1 features from replicate

ai-agentsgogit
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15
Sample Group Metadata AssociationA

Use when you have a preprocessed count matrix (genes, miRNAs, isoforms,

ai-agentsgoexpress
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15
Sample Information Metadata ParsingA

Use when when you have a validated ReDU sample-information metadata file

ai-agentsgogit
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15
Sample Label MappingA

Use when you have a raw peak table (CSV format, from any of 12 supported

ai-agentsexpress
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15
Sample Matrix Effect HandlingA

Use when you have measured metabolites or lipids from archival blood

ai-agentsgogit
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15
Sample Membership TrackingA

Use when when aligning detected features across multiple LC-IMS-MS/MS

ai-agentspythongo
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15
Sample Metadata Annotation For LcmsA

Use when when you have loaded centroided .mzML files into a Spectra object

ai-agentsgogit
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15
Sample Metadata ExtractionA

Use when when you have an Excel file uploaded by a user following the

ai-agentsgit
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15
Sample Metadata Integration For QcA

Use when when you have an aligned MemoMatrix (sample-by-feature occurrence

ai-agentspythongo
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15
Sample Metadata IntegrationA

Use when when you have LC-MS peak table data in Excel format (e.g., from

ai-agentsgoexpress
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15
Sample Metadata Stratification And FilteringA

Use when when you have retrieved a large, heterogeneous collection of

ai-agentsgogit
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15
Sample Missingness FilteringA

Use when when you have loaded (un)targeted metabolite data into a Metaboprep

ai-agentsgit
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15
Sample Pair Filtering By Feature ReproducibilityA

Use when when you have a Marr() output object containing reproducibility

ai-agentsgogit
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15
Sample Partitioning By MetadataA

Use when you have a merged MGF file (e.g., from MZmine output) containing

ai-agentsgit
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15
Sample Prioritization Through Structural ClusteringA

Use when you have 2D NMR spectral data (HSQC, HMBC, COSY) from multiple

ai-agentspythonnode
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15
Sample Quality Assessment Using PcaA

Use when after loading and basic filtering of (un)targeted metabolomic

ai-agentsgit
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15
Sample Relationship VisualizationA

Use when after generating aligned MS2 fingerprints (sample-by-fingerprint

ai-agentspythongo
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15
Sample Replicate Pair AssessmentA

Use when you have high-throughput replicate measurements (e.g., mass

ai-agentsgit
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15
Sample Spectrum Metadata AlignmentA

Use when you have a GNPS task ID from a completed molecular networking

ai-agentspythongit
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15
Sample Study Size Stratified Algorithm SelectionA

Use when when beginning mass alignment in a multi-sample LC-MS metabolomics

ai-agentspythongo
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15
Sample To Reference Retention Time RemappingA

Use when after mass tracks have been aligned across samples into a MassGrid

ai-agentspythongo
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15
Sample Type Stratified Feature MaskingA

Use when after feature detection but before statistical analysis, when

ai-agentspythongo
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15
Sample Vectorization Via Spectral FeaturesA

Use when you have unaligned MS2 spectra from multiple metabolomics samples

ai-agentspythongo
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15
Sampledata Annotation And AssignmentA

Use when after loading multiple LC-MS .mzML files into an MsExperiment

ai-agentsgitbackend
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15
Sampletype Phenotype Stratified PlottingA

Use when after loading and normalizing a LipidomicsExperiment object

ai-agentsgogit
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15
Sampling Protocol ReconstructionA

Use when you have access to ALISTER's web app or codebase and need to

ai-agentsgogit
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15
Saturated Peak ReconstructionA

Use when processing IM-MS data files (Agilent .d or UIMF format) that

ai-agentsgoc++
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15
Saturation Threshold ConfigurationA

Use when when executing peak integration on preprocessed GC-IMS data

ai-agentsgoreact
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15
Savitzky Golay Filter ApplicationA

Use when apply Savitzky-Golay smoothing when your mass spectra contain

ai-agentsgogit
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15
Savitzky Golay Smoothing ApplicationA

Use when after filtering retention time and drift time ranges on raw

ai-agentsgogit
0
15
Sbml Model ManipulationA

Use when when you have consensus metabolic reconstructions in SBML format

ai-agentsgoreact
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15
Scaffold Extraction From Molecular StructuresA

'Use when when pre-training or fine-tuning a molecular representation

ai-agentspythonnode
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15
Scalability Extrapolation And Throughput EstimationA

Use when you have a new or modified LC-MS data processing tool and need

ai-agentspythongo
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15
Scalable Network Inference High DimensionalA

Use when when working with feature abundance tables (rows=features, columns=samples)

ai-agentsgonode
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15
Scan Filter File OrganizationA

Use when when converting mzML files to imzML format and the source mzML

ai-agentspythongo
0
15
Scan Index Filtering By Ms LevelA

Use when when you have generated a scan index from rawrr::readIndex()

ai-agentsc#git
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15
Scan Index Parsing And FilteringA

Use when you have a Thermo Orbitrap .raw file and need to (1) verify

ai-agentsreactgit
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15
Scan Number Mapping Dictionary ConstructionA

Use when after performing LOWESS regression on landmark peak RT pairs

ai-agentspythongo
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15
Scan Window Routing Mass SpectrometryA

Use when when processing LC-MS data with multiple overlapping m/z scan

ai-agentsgogit
0
15
Schema Compliance TestingA

Use when when uploading or ingesting a new paired omics project JSON

ai-agentstestinggit
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15
Schema Conformance CheckingA

Use when you have a collection of records in a standardized format (e.g.,

ai-agentsjavagit
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15
Schema Constraint CheckingA

Use when a user uploads a JSON project file to the platform and you need

ai-agentsapidatabase
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15
Sciex Multiquant Data Export Format RecognitionA

Use when you have txt files exported from Sciex MultiQuant (>v3.0.3)

ai-agentsgogit
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15
Scikit Learn Metric ComputationA

Use when you have prediction arrays (model outputs) and ground-truth

ai-agentsgogit
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15