HolobiomicsLab
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- ▌ SQL Query Optimization For Similarity Search 2 · holobiomicslabUse when when migrating spectral library data from file-based formats (JSON, CSV, binary) into a persistent store and need to support fast filtered queries on metadata and similarity computations against query spectra.
- ▌ Transformer Model Inference On Spectral Data 2 · holobiomicslabUse when you have a 1D 1H NMR spectrum represented as chemical shift vs. intensity values, a corresponding list of detected peak positions, and you need to assign metabolite identities to those peaks.
- ▌ Annotation Coverage Statistics Computation 3 · holobiomicslabUse when you have run MSMetaEnhancer's annotate_spectra() method on a .
- ▌ Cross Platform Software Capability Mapping 3 · holobiomicslabUse when you are designing a new tool for FT-ICR MS analysis (or similar high-resolution mass spectrometry domain) and need to understand which analytical and visualization features are already implemented in competing or complementary tools (e.
- ▌ M Z To Normalized Kendrick Mass Conversion 2 · holobiomicslabUse when you have uploaded peak list data containing m/z values and wish to construct a Kendrick mass plot where alkane homolog series (or other homologous families) are expected to appear as horizontal lines.
- ▌ Mass Spectrometry Plot Type Specialization 3 · holobiomicslabUse when you have a Pandas DataFrame containing mass spectrometry data (e.
- ▌ Class Imbalance Downsampling Ratio Adjustment 2 · holobiomicslabUse when after generating cross-spectrum negative examples via precursor m/z windowing and before training a rescore model (e.g., Siamese architecture in FIDDLE v2.0.0).
- ▌ Feature Table Generation From Aligned Spectra 2 · holobiomicslabUse when after retention-time and m/z-based peak alignment has been completed across a cohort of LC-MS samples, and you need to create a unified quantitative matrix for statistical testing, multivariate analysis, or annotation workflows.
- ▌ Multi Batch Experimental Design Understanding 3 · holobiomicslabUse when your metabolomics experiment includes samples acquired across multiple instrument runs, different preparation dates, or distinct sample cohorts.
- ▌ Spectrum Similarity Nearest Neighbor Indexing 2 · holobiomicslabUse when when you have thousands to millions of high-resolution tandem MS/MS spectra (in mzML, mzXML, or MGF format) that need to be clustered or compared, and exhaustive pairwise distance computation is computationally prohibitive.
- ▌ Composite Spectra Assembly From Fragment Ions 2 · holobiomicslabUse when you have DDA raw mass spectrometry data (mzML, mzXML, or netCDF format) and need to reconstruct composite fragmentation spectra by associating fragment ions with their parent precursor ions.
- ▌ Isotopologue Adduct Cross Assay Link Encoding 3 · holobiomicslabUse when after structural cluster assignment and correlation clustering are complete, and you need to represent the full set of structural relationships (isotopologues, adducts, cross-assay links, and correlation co-membership) in a single unified graph for interactive visualization, network.
- ▌ Mass Spectrometry Data Loading And Formatting 3 · holobiomicslabUse when you have raw or curated mass spectrometry data (MS1, MS2, or MSMS) in mzML, mzXML, CDF, MGF, MSP formats, or from a MassBank/MetaboLights repository, and need to convert it into an in-memory or on-disk spectral object that supports filtering, comparison, and annotation workflows.
- ▌ Neural Network Architecture Design Spectra 2 · holobiomicslabUse when you have preprocessed MS/MS spectra pairs (unknown and known metabolites) with annotated structural similarity labels, and you need to learn a generalizable model that can rank candidate structures for novel unknowns by predicting their similarity to reference compounds in a database.
- ▌ Retention Time Agnostic Spectral Alignment 3 · holobiomicslabUse when you have MS2 fragmentation spectra from multiple samples (in .mgf, .mzML, or .mzXML format) and want to compare them despite poor feature overlap, strong RT shifts between acquisitions, or use of different LC-MS platforms (e.g., Orbitrap vs. Q-ToF).
- ▌ Sodium Adduct Detection And Classification 4 · holobiomicslabUse when analyzing MALDI-mass spectrometry imaging data in which sodium or other alkali metal contamination is suspected, or when peak lists show unexplained mass differences in the range of ~20–25 Da (characteristic of Na adducts).
- ▌ Spectral Data Export And Format Conversion 2 · holobiomicslabUse when after running RAMClustR clustering on XCMS-processed metabolomics data, export spectral data when you need to share clustered spectra with external annotation software (MSFinder, Sirius), perform spectrum matching against reference databases, or prepare results for collaborative analysis.
- ▌ Spectral Feature Clustering And Comparison 3 · holobiomicslabUse when after identifying statistically significant LC-MS features (e.
- ▌ Topic Modeling Hyperparameter Optimization 2 · holobiomicslabUse when when preparing to apply LDA to a new MS/MS spectral dataset in bag-of-fragments format, before running the full modeling pipeline.
- ▌ Spectral Quality Metrics Extraction 2 · holobiomicslabUse when you have multi-sample MS1 data (from Agilent, Thermo, Bruker, or mzML formats) and need to quantify ion-level quality attributes—such as signal consistency, noise characteristics, or chromatographic stability—to either flag outlier samples or validate data fitness for downstream.
- ▌ Ion Mobility Calibration Curve Fitting 2 · holobiomicslabUse when you have TWIM-MS experimental data with arrival times and m/z values, and access to calibrant reference standards with known CCS values (typically loaded from a calibration template).
- ▌ Python Package Dependency Installation 3 · holobiomicslabUse when you need to enable optional modules in Pyteomics that depend on external libraries not bundled with the core package—such as h5py and hdf5plugin for mzMLb format access, sqlalchemy for Unimod database queries, or psims for ProForma parsing.
- ▌ Benchmark Table Generation And Reporting 2 · holobiomicslabUse when when you need to quantify and document the computational cost of a multi-stage analysis pipeline (such as MetaboDirect) across varying input sizes (e.
- ▌ Peak Filtering And Preprocessing Lc Ms 4 · holobiomicslabUse when you have raw LC-MS/MS spectra from vendor instruments (mzML, mzXML, MGF, or MSP format) with variable peak quality and intensity distributions, and you plan to perform library matching, molecular networking, or spectral similarity comparison.
- ▌ Peptide Sequence Prediction Comparison 2 · holobiomicslabUse when when you have a pre-trained Casanovo model, annotated MS/MS spectra in MGF format, and want to benchmark whether beam search decoding improves peptide prediction quality over the default greedy decoding strategy.
- ▌ Retention Time Mass Proximity Matching 3 · holobiomicslabUse when after sample alignment and grouping of isotopologues and adducts have been completed, when the aligned feature table contains NA or zero entries (missing intensities) for features that are detected in some samples but fall below the detection threshold in others.
- ▌ Sample Type Stratified Feature Masking 3 · holobiomicslabUse when after feature detection but before statistical analysis, when your study includes blank samples (e.g., solvent or extraction blanks) and you want to remove features that fail to show meaningful enrichment in actual study samples relative to blank contamination.
- ▌ Small Molecule Chromatography Modeling 2 · holobiomicslabUse when when you have a set of small molecule structures (as SMILES or molecular graphs) and need to predict their elution order in RPLC systems with eluent pH around 2.
- ▌ Spectral Fingerprint Web Service Query 3 · holobiomicslabUse when you have a high-resolution LC-MS/MS spectrum or pre-computed molecular fingerprint from a small-molecule sample and need to retrieve a systematic structural classification (compound class and subclass) with confidence estimates.
- ▌ Workflow Pipeline Execution Validation 3 · holobiomicslabUse when you have prepared metabolomics input files (feature quantification table, MS/MS spectra in MGF format, sample metadata) and are about to execute the TIMA taxonomically informed annotation pipeline, or after pipeline execution to verify all outputs were generated correctly.
- ▌ Inference Performance Benchmarking 3 · holobiomicslabUse when you have trained two or more graph neural network models on the same CCS dataset split (using identical hyperparameters, loss functions, and optimization settings) and need to rigorously compare their held-out test performance to determine which architecture balances prediction accuracy.
- ▌ Mass Spectrometry Peak Pair Analysis 3 · holobiomicslabUse when you have preprocessed MSI data (as a CSV intensity matrix or Cardinal MSProcessedImagingExperiment object) and suspect that observed peaks include both parent ions and their adducts formed with matrix or salt species.
- ▌ Chromatographic Retention Time Matching 2 · holobiomicslabUse when you have GC-MS data with multiple replicate injections or samples, need to identify a predefined set of query chemicals by name, and want to consolidate all instances of those chemicals (which may appear with varying match factors or peak areas across different samples or injection.
- ▌ Mass Spectrometry Data Table Formatting 3 · holobiomicslabUse when when you have raw or processed TWIM-MS data (arrival time and m/z values) from a mass spectrometry instrument and need to organize it into a feature table before biomolecular class assignment or CCS calculations.
- ▌ Confidence Score Assignment And Filtering 2 · holobiomicslabUse when after matching MRM transitions against a lipid reference database, when you have candidate lipid identities for each transition and need to rank them by quality and select a single match per transition for export to the labelled lipid-identity table.
- ▌ Ionization Mode Peak Retention Comparison 3 · holobiomicslabUse when when you have loaded a raw mass spectrum (e.g. ESI_NEG_SRFA.
- ▌ Deep Learning Architecture Implementation 3 · holobiomicslabUse when you have two augmented versions of the same ion image (from mass spectrometry imaging data) and need to extract learnable 512-dimensional feature representations using a shared-weight encoder for contrastive loss optimization.
- ▌ Summary Visualization Artifact Generation 3 · holobiomicslabUse when you have completed batch spectral searches against multiple domain-specific MASST tools (via Fast Search API or individual domain searches) and need to combine and visualize the aggregated match results in a format compatible with metadataMASST web interface or downstream analysis.
- ▌ Mass Spectrometry Feature Table Construction 2 · holobiomicslabUse when you have vendor-independent centroided mzML files from LC- or GC-HRMS data acquired in data-dependent acquisition (ddMS2) mode and need to extract detected features with m/z, retention time, and intensity attributes as input for non-target screening or PFAS prioritization workflows.
- ▌ Neutral Loss Feature Extraction From Spectra 2 · holobiomicslabUse when you have MS2 spectra data (MGF/mzML format) and aligned feature tables, and your analysis goal is to compare samples that may have poor MS1 feature overlap, strong retention-time shifts across runs, or were acquired on different LC-MS platforms.
- ▌ Background Distribution Threshold Derivation 2 · holobiomicslabUse when when you have trained predictive models (e.g., neural networks) on paired microbiome-metabolome data and need to identify which metabolites are genuinely well-predicted above chance.
- ▌ Effective Mobility Calibration Single Marker 2 · holobiomicslabUse when when you have CE-MS data with migration times that vary between runs due to electroosmotic flow drift, but you possess a reliable internal standard with a known effective mobility value.
- ▌ Extracted Ion Chromatogram Eic Visualization 2 · holobiomicslabUse when after running MS1 extraction and prescreening on mzML files with assigned adducts and tags, when you need to inspect detected compounds visually to verify peak shape, confirm retention time consistency across samples (e.
- ▌ File Format Identification Mass Spectrometry 3 · holobiomicslabUse when you have raw MS data files from one or more instrument vendors (Agilent, Bruker, Thermo Fisher, or mzML-formatted) and need to convert them to a vendor-agnostic HDF5-based storage format for downstream software development, machine learning, or cross-platform data access.
- ▌ Formula Transformer Architecture Application 3 · holobiomicslabUse when you have tandem mass spectra (MS/MS) with unknown precursor formulas and need to rank chemical formula candidates conditioned on observed fragment m/z values and precursor mass. Use this skill when fragmentation tree computation (e.
- ▌ Gnn Architecture Design For Molecular Graphs 2 · holobiomicslabUse when when you have preprocessed molecular graph data (node and edge tensors representing atoms and bonds) and need to train a regression model to predict a continuous molecular property (e.g., LC retention time).
- ▌ Mass Spectrometry Data Constraint Validation 2 · holobiomicslabUse when implementing replacement methods ($<-, [<-, spectraData<-, mz<-, intensity<-, peaksData<-) for a writable MsBackend subclass, or when modifying peak data in an existing backend.
- ▌ Mass Spectrometry Feature Extraction Ms1 Ms2 2 · holobiomicslabUse when when you have raw mzML files from LC-MS/MS metabolomics experiments and need to convert them into a structured feature table with accurate mass, retention time, and MS2 spectral data linked to a reference compound list.
- ▌ Mass Spectrometry Spectrum Quality Filtering 2 · holobiomicslabUse when compiling or harmonizing MS/MS spectral libraries from multiple source repositories and you need to identify and remove spectra that fail quality thresholds (low resolution, precursor-fragment mass inconsistency, duplicate fragment patterns, noise-dominated, or missing critical metadata.
- ▌ Metabolite Structural Annotation Integration 3 · holobiomicslabUse when after statistical analysis (e.g., MB-PLS with permutation testing) has identified a subset of significant LC-MS features (p < 0.05 or similar threshold) that require structural interpretation.
- ▌ Ion Mobility Mobilogram Visualization 3 · holobiomicslabUse when when you have mass spectrometry data with ion mobility (drift time or 1/K₀) measurements as a continuous dimension and want to visualize intensity distributions across the ion mobility axis.
- ▌ Elemental Ratio Histogram Visualization 2 · holobiomicslabUse when after loading a numeric elemental ratio column (H/C, O/C, N/C, etc.) from a CSV file into Punc'data, when you need to visualize the distribution of molecular formulas across a sample and want bin spacing to adapt automatically: narrow bins (0.1) for low-range data (span ≤ 3.
- ▌ Lexical Tokenization And Grammar Design 2 · holobiomicslabUse when you need to enable users to express complex domain-specific queries in a natural, succinct syntax—particularly when SQL patterns are familiar but must be augmented with domain assumptions (e.
- ▌ Structured Data Compilation From Readme 3 · holobiomicslabUse when when a scientific software repository documents multiple standalone tools, web applications, or resources with associated metadata (URLs, publications, taxonomic coverage) in its README, and you need to create a machine-readable inventory for downstream indexing, validation, or reuse.
- ▌ Fragment Assembly Transformer Architecture 2 · holobiomicslabUse when when you have 1D NMR spectra (1H and/or 13C) of an unknown compound with up to ~19 heavy atoms and need to predict both molecular formula and connectivity without manual structure hypothesis generation.
- ▌ Metabolomics Noise Perturbation Simulation 3 · holobiomicslabUse when when benchmarking or validating a pathway analysis method (such as PALS, ORA, or GSEA) on metabolomics data, you need quantitative evidence that the method's pathway rankings remain stable despite noise and missing peaks—conditions prevalent in real LC-MS/MS datasets.
- ▌ Software Architecture Documentation Review 3 · holobiomicslabUse when you need to verify the scope and completeness of a software platform's analytical capabilities—particularly when the project claims to support multiple input modalities (e.
- ▌ Tandem Ms Feature Table Import And Parsing 2 · holobiomicslabUse when when you have raw feature tables exported from a tandem LC-MS/MS preprocessing tool (e.g., Progenesis QI, MS-DIAL, Bruker Metaboscape) and need to combine them with sample metadata (group assignments, replicate structure) before applying feature filtering or quality control workflows.
- ▌ Deep Learning Model Inference On Test Sets 3 · holobiomicslabUse when you have a pretrained deep learning model, a reserved test set with ground-truth annotations, and need to evaluate prediction quality or generate embeddings for downstream analysis. Typical triggers: benchmarking a new model against classical baselines (e.
- ▌ Ionization Mode Merging And Reconciliation 2 · holobiomicslabUse when you have acquired MS-DIAL peak lists in both positive and negative ionization modes on the same sample set and want to consolidate detected features across modes to avoid reporting duplicate annotations for the same molecule.
- ▌ Mass Spectrometry Precursor Identification 3 · holobiomicslabUse when when you need to locate and extract quantitative retention time and intensity data for known peptide standards (e.g., iRT peptides) from a Thermo .raw file to validate LC-MS retention time linearity, assess method reproducibility, or establish retention time calibration curves.
- ▌ Mass To Charge Ratio Matching Against Kegg 2 · holobiomicslabUse when you have an LC-MS peak-intensity matrix (rows = peaks with m/z and intensity; columns = samples) and need to assign KEGG compound identifiers to observed peaks.
- ▌ Metabolite Structural Network Construction 2 · holobiomicslabUse when after MamsiStructSearch has completed structural clustering of statistically significant LC-MS features (p < 0.
- ▌ Missing Value Imputation By Data Recursion 3 · holobiomicslabUse when after sample alignment and feature grouping in untargeted LC-MS workflows, when the aligned feature table contains missing intensity values (NA or zero entries) due to features falling below the detection limit in some samples but being present above-threshold in others.
- ▌ Ms Ms Spectral Preprocessing Normalization 2 · holobiomicslabUse when you have paired MS/MS spectra from unknown and known metabolites with raw intensity values and need to prepare them as input for a deep-learning model that will predict structural similarity.
- ▌ Multi Head Attention Mechanism Application 2 · holobiomicslabUse when you have embedded sequences of chemical formulae (tokenized and converted to dense vectors) from tandem MS/MS spectra and need to learn context-dependent representations that capture dependencies between formula tokens at multiple semantic levels.
- ▌ Adduct Fragment Formula Interpretation 3 · holobiomicslabUse when after temporal correlation has identified candidate feature pairs with matching intensity profiles across time-resolved DBDI-MS experiments.
- ▌ Adduct Ion Parent Ion Pairing Analysis 4 · holobiomicslabUse when when you have binned mass spectrometry imaging peaks and want to understand which detected mass-to-charge ratios represent the same metabolite in different ionization states (parent vs. adduct form).
- ▌ Analyte Metadata Hierarchical Indexing 2 · holobiomicslabUse when after applying a stringent Q-value quality filter (e.
- ▌ Automated Reaction Network Exploration 2 · holobiomicslabUse when when you have a molecular geometry (XYZ format) and need to predict electron ionization (EI) mass spectrum fragmentation patterns by exhaustively sampling conformational space and reaction intermediates.
- ▌ Constraint Based Flux Balance Analysis 3 · holobiomicslabUse when you have a generic genome-scale metabolic model (SBML format) and cross-sectional omics data (RNA-seq, intracellular metabolomics, extracellular flux measurements from bioanalyzer or similar) from multiple biological samples (cell lines, conditions).
- ▌ Container Image Selection And Mounting 3 · holobiomicslabUse when when deploying a Nextflow workflow across multiple execution environments (local machines, HPC clusters) where tool versions, dependencies, or OS configurations may differ. Choose this skill specifically when you need to process LC-HRMS .mzML or .
- ▌ Cross Tool Result Concordance Analysis 3 · holobiomicslabUse when you have executed multiple NPDtools database search pipelines (Dereplicator, VarQuest, Dereplicator+, or MetaMiner in different modes) on identical test spectra or RiPP sequence inputs and need to understand their relative sensitivity, specificity, and complementarity.
- ▌ Jpa Module Execution And Configuration 2 · holobiomicslabUse when when you have raw LC-MS data in mzXML format (or vendor formats convertible via MS-Convert) and need to extract metabolic features as the first major step of untargeted metabolomics analysis. Choose MS1 peak picking for DDA/full-scan data;
- ▌ Lc Ms Feature Grouping And Compounding 4 · holobiomicslabUse when after chromatographic peak detection on preprocessed LC-MS data, when you have hundreds or thousands of individual m/z × retention-time peaks and need to associate them into biologically meaningful feature groups.
- ▌ Mass Spectrometry File Format Handling 3 · holobiomicslabUse when when you have Thermo Fisher Scientific Orbitrap .raw files (e.g., from Q Exactive HF instruments) and need to extract spectral, chromatographic, or metadata directly into R for downstream statistical analysis, benchmarking, or integration with Bioconductor workflows.
- ▌ Mass Spectrum Histogram Interpretation 2 · holobiomicslabUse when after computing all pairwise mass differences from a mass spectrometry imaging dataset, when you need to identify which mass differences correspond to real molecular adducts (e.g., metabolite–matrix or metabolite–salt ions) rather than noise.
- ▌ Metabolite Structure Format Conversion 2 · holobiomicslabUse when when importing candidate metabolite structures from public chemical databases (PubChem, ChEBI, etc.) for use in MAGMa-based annotation workflows, or when integrating external structure datasets that may use divergent molecular representation formats or contain non-standard chemical.
- ▌ Molecular Graph Representation Parsing 2 · holobiomicslabUse when you have molecular identifiers (SMILES strings or molecular structure files) that need to be converted into node-edge graph tensors for input to message passing neural network models like chemprop or chemprop-IR.
- ▌ Molecular Network Attribute Enrichment 3 · holobiomicslabUse when you have a GNPS mass spectral molecular network (in .graphml or Cytoscape format) and wish to annotate its nodes and edges with chemical class assignments from the GNPS library and/or MS2LDA motif probabilities from an independent LDA experiment.
- ▌ Multi Score Complementarity Evaluation 3 · holobiomicslabUse when you have two or more independent scoring functions ranking the same set of candidate links (GCF-MF pairs, BGC-spectrum associations, etc.), and you want to determine whether they capture complementary information that justifies combining them.
- ▌ Metabolite Candidate Ranking Interpretation 2 · holobiomicslabUse when after running annotateRC() on LC-MS AIF features, when you need to validate whether a feature's rank-1 annotation is reliable or when you suspect that structurally similar metabolites (e.
- ▌ Search Result Aggregation And Normalization 2 · holobiomicslabUse when you have executed batch searches across two or more domain-specific MASST tools and obtained separate output files (_microbe.json, _plant.json, _tissue.
- ▌ Acquisition Mode Enumeration And Validation 2 · holobiomicslabUse when adopting a mass spectrometry-based analysis tool (e.
- ▌ CI CD Pipeline Reproducibility Verification 2 · holobiomicslabUse when when a repository displays a GitHub Actions workflow badge (e.
- ▌ Cross Database Structural Homology Matching 3 · holobiomicslabUse when when you have antiSMASH-predicted BGCs and wish to link them to metabolomic data via structure prediction, but only BGCs with sufficient structural homology to characterized reference clusters will yield reliable predictions.
- ▌ Interactive Network Visualization Rendering 3 · holobiomicslabUse when after structural clustering (isotopologue grouping, adduct detection, cross-assay linking) and correlation clustering of LC-MS features, when you need to inspect and communicate the topology of structural relationships—particularly when the number of features or link types is too dense for.
- ▌ Isotopic Signature Validation And Filtering 4 · holobiomicslabUse when after isotope detection has enumerated C13 isotopologue patterns across m/z, drift time, and retention time dimensions, and you need to reduce false positives by retaining only well-populated isotopic signature clusters before annotation or export.
- ▌ Metabolite Feature Matching Across Datasets 3 · holobiomicslabUse when you have two independent LC-MS untargeted metabolomic feature tables (e.
- ▌ Molecular Formula Isotopic Profile Matching 2 · holobiomicslabUse when you have detected peaks from untargeted LC/HRMS analysis (via IDSL.IPA or equivalent peak picker) with m/z and retention time values, and you need to assign molecular formulas to those peaks.
- ▌ Motif Pseudo Spectra Optimization Filtering 2 · holobiomicslabUse when after LDA has converged and inferred Mass2Motifs from preprocessed mass spectrometry spectral data, when the raw motif-fragment distributions contain noise or low-confidence associations that obscure the dominant fragmentation patterns.
- ▌ Orbitrap Spectrum Extraction From Raw Files 3 · holobiomicslabUse when you have a Thermo Fisher Orbitrap .raw file and need to retrieve a specific scan's spectral data (m/z and intensity arrays), validate instrument parameters (resolving power, AGC injection time), or assess signal-to-noise characteristics of fragment ions for a known precursor peptide (e.
- ▌ R Dependency Package Compatibility Auditing 2 · holobiomicslabUse when a Shiny application or R-based tool is known to run on only one operating system (e.g., Windows-only), and you need to identify the root causes preventing execution on Linux or macOS before undertaking cross-platform porting.
- ▌ Repository Cloning And Structure Navigation 3 · holobiomicslabUse when when starting a fresh ENPKG installation, you have a GitHub URL (e.g., https://github.com/enpkg/enpkg_full or https://github.
- ▌ Spectral Overview Representation Generation 4 · holobiomicslabUse when you have processed LC-MS/MS spectral data (as a .mgf file with feature identifiers) and computed pairwise ms2deepscore similarity scores, and you need to create a 2-D projection suitable for dashboard visualization or high-level pattern discovery without losing similarity structure.
- ▌ Workflow Configuration And Parameterization 3 · holobiomicslabUse when when preparing to execute the Nextflow4MS-DIAL workflow on raw LC-HRMS metabolomics data (.mzML or .
- ▌ Analytical Pipeline Feature Documentation 3 · holobiomicslabUse when you are evaluating a new or existing data analysis pipeline (e.g., MetaboDirect) and need to produce a transparent, evidence-based feature matrix showing which analyses it supports—particularly when the pipeline is positioned as an alternative to or improvement over established tools.
- ▌ Ionisation Method Hardware Correspondence 4 · holobiomicslabUse when when evaluating whether a mass spectrometry analysis platform (such as mzmine) has comprehensive module support across multiple ionisation and separation techniques (LC, GC, IMS, MALDI MS imaging), or when planning a multi-technique MS study and needing to confirm that all intended.
- ▌ JSON Payload Construction For Nmr Spectra 3 · holobiomicslabUse when when you have NMR peak assignments (1H and 13C chemical shift values) and need to submit them to the /api/smart3/search endpoint for automated structure classification. Use this skill before making API calls to ensure peak data conforms to the expected JSON schema.
- ▌ Knowledge Graph Generation And Validation 3 · holobiomicslabUse when after completing all per-sample annotation steps (molecular networking, ISDB/spectral matching, SIRIUS/CSI:FingerID, and compounds metadata enhancement with Wikidata IDs and NPClassifier ontology).