HolobiomicsLab
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- ▌ Structured Data Quality Assessment 2 · holobiomicslabUse when when you have deposited a collection of JSON project documents in a platform or repository and need to verify that all conform to a published JSON Schema specification before publication, distribution, or integration with downstream systems.
- ▌ System Call Invocation Via System2 2 · holobiomicslabUse when you need to query or extract data from Thermo Fisher Scientific .raw files or other proprietary binary formats accessible only through a compiled external executable (e.g., RawFileReader .NET assembly). The executable returns text or structured output (e.
- ▌ Tandem Mass Spectrum Normalization 2 · holobiomicslabUse when preparing tandem MS/MS datasets for cross-dataset similarity analysis or spectral matching, particularly when datasets originate from different instruments, acquisition dates, or sample preparation protocols that may introduce systematic variations in peak intensities.
- ▌ Tensor Preprocessing Normalization 2 · holobiomicslabUse when when you have raw MS/MS spectral data in the form of intensity arrays indexed by m/z values and need to feed them into the Spec2Mol encoder neural network. Apply this skill before encoder inference to ensure spectral inputs conform to the encoder's expected dimensionality and value ranges.
- ▌ Transfer Learning Encoder Freezing 2 · holobiomicslabUse when you have a pretrained spectrum encoder (e.g., TCN on mass spectrometry data) that has learned useful representations, and you need to train new components (e.g., a rescoring module) for a related but distinct task (e.
- ▌ Transformer Architecture Inference 2 · holobiomicslabUse when you have acquired or generated multi-modal spectroscopic data (integrated NMR, HSQC, COSY, IR spectra) in the model's expected input format, a pre-trained MultiModalSpectralTransformer checkpoint is available, and you need to predict molecular structures from these spectra without.
- ▌ Untargeted Metabolomics Annotation 2 · holobiomicslabUse when you have authentic metabolite standards analyzed by LC-MS in both positive and negative ESI modes (converted to .
- ▌ Validated Link Enrichment Analysis 2 · holobiomicslabUse when when you have a ranked list of GCF-MF (genomic cluster family–molecular feature) link predictions from one or more scoring functions, a curated set of known validated links for the same strain(s), and need to assess whether combining or filtering by percentile thresholds improves.
- ▌ Generic Hdf5 Library API Usage 2 · holobiomicslabUse when when you have converted multidimensional MS data to MZA HDF5 format and need to programmatically read spectra, metadata, and ion mobility or mass-to-charge arrays in Python or R without vendor-specific dependencies.
- ▌ Bruker Mass Spectrum Data Import 2 · holobiomicslabUse when you have received a Bruker Solarix FT-ICR raw data directory (.d format, containing CompassXtract output or native ser/fid transients) and need to import it into a Python-based analysis workflow for FT-MS signal processing, calibration, or molecular formula search.
- ▌ Cpu Gpu Performance Benchmarking 2 · holobiomicslabUse when you have implemented both CPU and GPU versions of a spectral search algorithm (e.g., approximate nearest neighbor indexing with cascade filtering) and need to validate whether GPU acceleration is justified.
- ▌ Docker Container Volume Mounting 2 · holobiomicslabUse when when you have vendor raw mass spectrometry files on the host machine that need to be processed by a containerized tool (e.g., AirdPro), and the container must read input from and write output to specific host paths. Typical trigger: you have a .
- ▌ Mass Error Threshold Calibration 2 · holobiomicslabUse when you have isolated TIC peak regions and need to extract ion chromatograms (EICs) for XCMS parameter estimation via the EICparams function. Use it specifically when your mass analyzer's measurement accuracy is known (e.
- ▌ Ms Instrument Data Preprocessing 2 · holobiomicslabUse when you have raw mass spectrometry data files from a mass spectrometer instrument and need to feed them into a peptide feature detection pipeline (e.g., IsoFusion) that accepts only MS1 format input.
- ▌ Peak Quality Threshold Filtering 3 · holobiomicslabUse when after composite-map peak detection (scipy.signal.find_peaks) has identified candidate peaks on aligned mass tracks, but before compiling the final feature table.
- ▌ Visual Studio Project Management 2 · holobiomicslabUse when when you have cloned a multi-framework .NET project (e.g., MsdialWorkbench using .NET Framework 4.7.2, .NET Core 3.1, and .NET 6) and need to set up the build environment in Visual Studio, restore dependencies, select a specific build configuration (e.
- ▌ Spot Level Intensity Aggregation 2 · holobiomicslabUse when after loading spatial metabolomics data (from CSV, imzML, or merged positive/negative ion modes) into an AnnData object, and before filtering or alignment steps.
- ▌ Chemical Match Score Interpretation 2 · holobiomicslabUse when when you have query chemicals identified by GC-MS (with Match.Factor values) and need to verify structural similarity against a reference chemical library to confirm compound identity or detect structural analogs (e.g., isomers or homologs).
- ▌ Dataset Preprocessing And Filtering 2 · holobiomicslabUse when when you have a raw GNPS or other spectral library dataset with inconsistent or incomplete instrument annotations, and you need to verify or reproduce reported dataset split counts (e.g., training/test compound ratios). Apply this skill when an instrument allowlist fix (e.
- ▌ De Novo Structure Candidate Ranking 2 · holobiomicslabUse when when you have high-resolution LC-MS/MS data for an unknown metabolite or small molecule, have computed or measured the molecular ion mass and fragmentation spectrum, and require de-novo structure generation because the compound is absent from spectral libraries or structure databases.
- ▌ Eic Similarity Correlation Analysis 3 · holobiomicslabUse when after abundance-correlation-based feature group refinement when you observe that larger feature groups (particularly those with 3+ features in the same m/z–retention-time window) may contain features with different peak shapes or retention-time shifts in their EICs, or when abundance.
- ▌ Fixed Architecture Layer Validation 2 · holobiomicslabUse when after loading a specXplore session data object file from the hard drive and instantiating a dashboard session layer with it, validate that the architecture layer has initialized without errors and that the interactive dashboard is responsive to user input.
- ▌ Formula Ranking Accuracy Evaluation 2 · holobiomicslabUse when use this skill after training or fine-tuning a chemical formula transformer model on annotated tandem MS/MS spectra, when you need to measure whether the model's ranked formula candidates match ground truth.
- ▌ Hrms Feature Annotation Integration 2 · holobiomicslabUse when you have LC- or GC-HRMS data in mzML format and a feature list (CSV/TSL/Excel) from external feature detection software (e.
- ▌ Intensity Normalization And Scaling 2 · holobiomicslabUse when when working with raw or filtered MsmsSpectrum objects where peak intensities span a wide dynamic range and need to be normalized for downstream spectrum comparison, database matching, or publication-quality visualization.
- ▌ Intensity Threshold Noise Filtering 2 · holobiomicslabUse when you have loaded a raw or partially processed MsmsSpectrum object and need to reduce spectral noise before annotation, matching, or visualization. Use it especially when spectra contain many weak peaks (e.
- ▌ Lc Hrms Data Preprocessing Pipeline 2 · holobiomicslabUse when you have raw LC-HRMS metabolomics data in .mzML or .abf format and need to perform peak detection, feature alignment, and metabolite annotation in a reproducible, containerized environment.
- ▌ Mass Accuracy Tolerance Calibration 2 · holobiomicslabUse when you have experimental fragment m/z values from HRMS/MS instruments (Q-Exactive orbitrap, Q-TOF) in CSV or mzML-derived peaklist format, and need to match them against a library of 500,000+ in-silico fragmented lipid species.
- ▌ Mass Spectrometry Fragment Matching 2 · holobiomicslabUse when you have experimental fragment m/z peaklists from Q-Exactive orbitrap, Agilent Q-TOF, Bruker Q-TOF, or SCIEX Q-TOF UHPLC-HRMS/MS instruments (in CSV or mzML-derived table formats) and need to assign lipid identities using untargeted or targeted tandem MS data.
- ▌ Mgf Metadata Completion From Smiles 2 · holobiomicslabUse when when processing MGF-format MS2 spectral libraries (e.g., GNPS) that contain SMILES but lack the Molecular Formula field, and you need to prepare the library for MS-DIAL import or polarity-based separation workflows.
- ▌ Similarity Threshold Interpretation 2 · holobiomicslabUse when when you have computed Spec2Vec similarity scores (typically cosine similarity in [0, 1] range) between discovered Mass2Motifs and a spectral library, and need to decide which matches are sufficiently confident to include in per-motif annotation output.
- ▌ Singularity Container Backend Setup 2 · holobiomicslabUse when your LC-HRMS metabolomics analysis must run on a high-performance computing cluster (e.g., HiPerGator, SLURM-managed systems) that lacks Docker support or prefers Singularity for security and portability. You have .mzML or .
- ▌ Sparse Distance Matrix Construction 2 · holobiomicslabUse when you have a large collection of MS/MS spectra (hundreds of thousands to millions) that need to be clustered, you have already constructed nearest neighbor indexes on low-dimensional spectrum vectors (via feature hashing), and you need to compute only the relevant pairwise distances between.
- ▌ Spectral Match Result Consolidation 2 · holobiomicslabUse when you have executed batch searches of MS/MS spectra against multiple domain-specific MASST indices and need to integrate the resulting match outputs into a single coherent view.
- ▌ Workflow Architecture Documentation 2 · holobiomicslabUse when you need to understand how a complex MS/MS spectral search system routes query spectra through multiple parallel processing pipelines with different objectives (e.g., reliable exact matching vs. fast approximate matching).
- ▌ Acquisition Method Overlap Analysis 3 · holobiomicslabUse when you have acquired the same sample(s) using multiple LC-MS, LC-IMS-MS, or direct infusion methods (e.
- ▌ API Response Parsing And Validation 2 · holobiomicslabUse when after submitting a POST request to the /api/smart3/search endpoint with peak data as a JSON payload, you receive an HTTP response and need to extract classification predictions and confidence scores.
- ▌ Bgc Mf Link Scoring Standardisation 2 · holobiomicslabUse when you have computed raw strain correlation scores and IOKR scores for the same set of GCF–MF (gene cluster family–molecular feature) pairs, and you want to compare or combine them fairly without one score dominating due to scale differences.
- ▌ Bgc Spectrum Iokr Score Computation 2 · holobiomicslabUse when when you have a collection of microbial genomes with predicted BGCs (via antiSMASH), a set of MS/MS spectra (e.g. from GNPS), and you want to score potential BGC-spectrum associations based on the presence of conserved molecular substructures inferred from the BGC's closest MIBiG homolog.
- ▌ Chemical Structure Feature Encoding 2 · holobiomicslabUse when when you have a set of molecules with known chemical structures and need to prepare them for classification or prediction tasks.
- ▌ Code Quality Metrics Interpretation 2 · holobiomicslabUse when after a GitHub Actions CI workflow has executed static analysis (e.g., via Sonarcloud) and generated a quality report.
- ▌ Comparative Omics Report Generation 3 · holobiomicslabUse when when you have feature lists (in CSV format) from two or more different MS acquisition methods (e.g., LC-MS vs. LC-IMS-MS), different processing software (e.
- ▌ Cross Validation Workflow Execution 2 · holobiomicslabUse when you have paired microbiome (16S rRNA/metagenomic) and metabolome (LC-MS/MS or similar) count data and need to evaluate how well a predictive model (e.g., neural network, Elastic Net) generalizes across samples.
- ▌ Dom Chemodiversity Characterization 2 · holobiomicslabUse when you have a formula-assigned FT-ICR MS dataset (molecular formulas already assigned to individual mass features) and seek to understand the chemodiversity landscape and transformation relationships within DOM.
- ▌ Feasible Flux Distribution Sampling 2 · holobiomicslabUse when after integrating transcriptomics-derived (RAS), metabolomics-derived (RPS), and extracellular flux constraints into cell-relative metabolic models, sample the feasible flux region when you need to: (1) visualize and compare the metabolic phenotype distributions across biological samples.
- ▌ Feature Table Consensus Aggregation 3 · holobiomicslabUse when you have detected feature tables from multiple LC-IMS-MS/MS samples and need to establish a unified feature catalog in which each row represents a distinct molecular entity observed across one or more samples, with harmonized m/z, drift time, and retention time coordinates.
- ▌ Feature Table Export And Formatting 3 · holobiomicslabUse when after completing feature detection, alignment, and optional filtering (blank subtraction, QC reproducibility, feature occurrence thresholds) in MZmine2 or Optimus, and you need to prepare the feature table and MS/MS spectra for GNPS-based molecular networking, bioassay integration, or.
- ▌ File Path Resolution And Validation 2 · holobiomicslabUse when when initializing a SmartPeak session from a sequence file, you need to load and validate the workflow.csv and sequence.csv files that are co-located in the session directory.
- ▌ Fractional Abundance Transformation 2 · holobiomicslabUse when you have raw LC-MS fractional abundances of isotopologues (FAM) from a stable isotope labeling experiment (e.
- ▌ Fragmentation Database Construction 2 · holobiomicslabUse when when you have completed ORCA single-point energy calculations on interpolated reaction pathway geometries and need to convert quantum mechanical fragment energies and molecular properties into a structured fragmentation channel database suitable for automated EI mass spectrum simulation.
- ▌ Functional Trait Diversity Analysis 2 · holobiomicslabUse when when you have abundance-normalized FT-ICR MS peak data with assigned molecular formulas and need to distinguish between richness (total number of distinct metabolites) and functional diversity (diversity in metabolic potential).
- ▌ Gpu Accelerated Spectrum Clustering 2 · holobiomicslabUse when you have a large collection of tandem mass spectra (≥100k spectra) in MGF format and need to group spectra by similarity (precursor m/z, charge, and fragment ion patterns) for spectral library construction, peptide identification, or quality control.
- ▌ Gpu Acceleration Cuda Configuration 2 · holobiomicslabUse when when clustering or encoding large MS/MS spectra datasets (>1 million spectra) where CPU-only runtime exceeds practical thresholds (hours to days).
- ▌ Growth Yield Computation From Omics 2 · holobiomicslabUse when you have constraint-based metabolic models with integrated transcriptomics (gene expression), intracellular metabolomics (substrate concentrations), and extracellular flux measurements (glucose uptake, lactate production, etc.), and you need to test whether differential expression of.
- ▌ High Dimensional Signal Enhancement 3 · holobiomicslabUse when when you have raw or preprocessed mass spectrometry imaging (MSI) data with limited spatial resolution, high noise, or incomplete molecular coverage, and you want to enhance signal fidelity to support multiscale tissue–single-cell mapping or brain biochemical profiling.
- ▌ Hmdb Metabolite Query And Retrieval 3 · holobiomicslabUse when you have identified one or more proton NMR spectral regions-of-interest (ROIs)—defined by lower and upper chemical-shift bounds in ppm—from complex biological samples (serum, saliva, urine, tissue, CSF) and need to generate a ranked list of plausible metabolite identities.
- ▌ Ion Mobility Calibration Validation 3 · holobiomicslabUse when when you have positive- or negative-mode ion mobility spectrometry data with tunemix reference standards (known m/z, drift times, and CCS values) and need to verify that the calibration model accurately captures the relationship between drift time, reference m/z, and collision cross.
- ▌ Ion Species Confirmation Validation 2 · holobiomicslabUse when after you have identified candidate ion-species pairs through pointwise correlation analysis of XIC temporal profiles and exact mass difference refinement, and you have MS2 fragment spectra available for those candidates.
- ▌ Library Spectrum Database Searching 2 · holobiomicslabUse when you have an unknown electron ionization (EI) mass spectrum and need to identify the compound by comparing it against a reference library (msp file format).
- ▌ Lipid Chain Composition Enumeration 2 · holobiomicslabUse when constructing a de novo or expanded lipid spectral library that must cover all theoretically possible chain compositions and double-bond positional isomers for one or more lipid classes.
- ▌ Mass Spectrometry Outlier Detection 3 · holobiomicslabUse when you have multi-sample MS1 data (LC-MS, LC-IMS-MS, or direct infusion across any omics domain) and need to detect samples with abnormal global ion intensity patterns or unusual per-ion metric behavior (intensity distribution, signal-to-noise, retention time stability) that may indicate.
- ▌ Mass Spectrum Structure Elucidation 3 · holobiomicslabUse when you have an experimental tandem mass spectrum (collision-induced dissociation, CID) and a known chemical formula (or narrow set of candidate formulas), and you need to identify the most likely structure(s) by ranking against a large candidate library such as PubChem.
- ▌ Metabolic Pathway Database Querying 2 · holobiomicslabUse when you have a ranked list of metabolite identifiers (PubChemCIDs, KEGG IDs, or chemical names) from differential abundance or ANOVA testing and need to determine which metabolic pathways are overrepresented or enriched among the most significant features.
- ▌ Metabolite Abundance Stratification 2 · holobiomicslabUse when you have a peak-abundance matrix from FT-ICR MS (peaks as rows, samples as columns with raw peak intensities) and need to compute abundance-based diversity indices or functional diversity metrics that are sensitive to relative vs. absolute peak heights.
- ▌ Metabolite Generation Logic Mapping 2 · holobiomicslabUse when when you have access to the MAGMa source code and need to understand or audit how in silico metabolite candidates are enumerated from parent structures.
- ▌ Metabolite Taxonomy Database Lookup 3 · holobiomicslabUse when when you have MS/MS-annotated features from a natural extract (via SIRIUS, CANOPUS, or ISDB) and need to compute the Literature Component or Class Component of a priority rank—i.
- ▌ Metabolomic Feature Table Filtering 3 · holobiomicslabUse when after feature detection (e.g., Asari processing of mzML files to feature tables) but before normalization, batch correction, or annotation.
- ▌ Ms2 Spectral Similarity Computation 2 · holobiomicslabUse when you have two or more LC-MS/MS datasets (in mzML, mzXML, or MGF format) and need to quantify their overall spectral content similarity—typical scenarios include data quality control, species identification, molecular phylogenetics, or proteome comparison across samples, cell lines, or.
- ▌ Multi Criterion Scoring Integration 2 · holobiomicslabUse when you have an LC-HRMS feature table (m/z, retention time, isotope ratios, fragmentation patterns) and a suspect compound database with reference properties (m/z, expected RT windows, theoretical isotope ratios, characteristic neutral losses), and you need to rank which features most likely.
- ▌ Multi Service Dependency Management 2 · holobiomicslabUse when your research software comprises multiple independent subprojects or microservices (calculation engines, web services, data processors, websites) that must be deployed and initialized in a coordinated sequence, with explicit dependency declarations and network communication paths between.
- ▌ Multidimensional Ms Data Conversion 3 · holobiomicslabUse when you have acquired untargeted MS data with orthogonal separations (LC, ion mobility) and/or data-independent acquisition (DIA) from Thermo, Agilent, or Bruker instruments, and you need to: (1) store multidimensional spectra in a vendor-neutral, platform-agnostic format;
- ▌ Nextflow Pipeline Configuration Hpc 2 · holobiomicslabUse when your analysis target is an HPC environment (e.g., Slurm-managed cluster, university research computing center) where Singularity is available but Docker is restricted or unavailable; your workflow is already packaged in Docker but needs portability to HPC;
- ▌ Publication Image Asset Preparation 2 · holobiomicslabUse when you have resolved a USI string pointing to a spectrum in a supported repository (GNPS, MassBank, MassIVE, MetaboLights, Metabolomics Workbench, ProteoXchange, or MS2LDA) and need to embed a publication-ready visualization or machine-readable reference that preserves the spectrum's.
- ▌ Rank Performance Metric Computation 3 · holobiomicslabUse when when you have predictions from one or more metabolite annotation models (MLP baseline, GNN, or ESP ensemble) and need to quantify ranking performance on ESI/LC-MS test spectra.
- ▌ Retention Time Alignment Correction 2 · holobiomicslabUse when when processing a batch of centroided mzML or mzXML LC-MS raw data files where chromatographic retention times drift between sample acquisitions (common in large-scale metabolomics studies).
- ▌ Set Activity Prioritization Ranking 2 · holobiomicslabUse when after computing activity scores for a collection of metabolite sets (pathways, GNPS Molecular Families, or MS2LDA Mass2Motifs) from intensity and annotation data.
- ▌ Spectral Match Score Interpretation 2 · holobiomicslabUse when when you have GC-MS output with Match.Factor values or structural similarity scores from categorate() and need to decide which identified compounds are reliable enough to carry forward. Specifically: (1) after running GC-MS and receiving a Match.Factor column;
- ▌ Spectral Scan Generation And Export 2 · holobiomicslabUse when you have real LC-MS/MS data (mzML) from a complex sample (e.g., beer, metabolomics extract) and need to prototype or validate a new data-dependent acquisition (DDA) strategy—such as Top-N fragmentation—before deploying it on physical instrumentation.
- ▌ Spectrum Pair Retrieval And Ranking 2 · holobiomicslabUse when you have a test set of annotated MS/MS spectra with known structural similarity (via molecular fingerprints or InChIKey), and you want to assess how well a spectral similarity measure (learned or classical) retrieves structurally related compound pairs across a full range of thresholds.
- ▌ Substructure Annotation Integration 3 · holobiomicslabUse when you have (1) a GNPS molecular network (classical or feature-based) with cluster/feature identifiers, (2) MS2LDA output containing Mass2Motif assignments with probability and overlap scores for those same clusters/features, and (3) a goal to annotate network nodes with substructural and.
- ▌ Targeted Transition List Generation 2 · holobiomicslabUse when you have a set of lipid targets defined by species name, acyl chain composition, and expected adducts, and you need to configure a targeted mass spectrometry workflow (PRM or MRM) in Skyline.
- ▌ Tracer Impurity Correction Modeling 2 · holobiomicslabUse when when processing LC-MS data from isotope labeling experiments where the tracer (13C, 2H, 15N, 18O, or 34S) has known isotopic impurity and you observe discrepancies between measured isotopologue abundances (FAM) and expected labeling patterns.
- ▌ Workflow Reproducibility Validation 2 · holobiomicslabUse when after implementing or deploying a containerized Nextflow workflow that processes LC-HRMS metabolomics .
- ▌ Lipid Mass Spectral Matching 2 · holobiomicslabUse when you have peak-picked LC-HRMS/MS or direct infusion MS/MS data (m/z, retention time, intensity) from Q-Exactive, Agilent, Bruker, or SCIEX instruments and need to annotate experimental fragment patterns to known lipid structures.
- ▌ Lipid Class Stratified Analysis 3 · holobiomicslabUse when you have IM-MS lipidomics data with measured CCS values, samples spiked with U13C-labeled lipid internal standards (e.
- ▌ Multi Charge State Ccs Handling 2 · holobiomicslabUse when your TWIM-MS dataset contains ions with multiple charge states (e.g., +1, +2, +3 for the same molecular species) and you need CCS values that correctly account for the relationship between drift time, m/z, and charge state.
- ▌ Histogram Bin Width Configuration 2 · holobiomicslabUse when you have uploaded a numeric column (e.g., H/C ratio, O/C ratio, or other derived properties from high-resolution mass spectrometry) and you are generating a histogram in Punc'data's Canvas tab.
- ▌ Pathway Rank Stability Assessment 3 · holobiomicslabUse when when you have completed a PALS pathway analysis on a clean metabolomics peak intensity matrix and pathway annotation set, and you need to verify that the ranked pathway discoveries are not artifacts of favorable data quality.
- ▌ Polarity Based Compound Filtering 2 · holobiomicslabUse when you have a multi-polarity compound target list (e.g., a .xlsx file with a polarity or ionization mode column indicating positive or negative ESI mode) and you are about to perform targeted peak detection in a single LC–MS acquisition mode (e.g., positive-ion mode only).
- ▌ Spectrum Grouping And Aggregation 2 · holobiomicslabUse when you have loaded raw PSM search results from a proteomics search engine (e.g., MaxQuant, MSGFPlus, Sage) and need to prepare them for multi-rank rescoring in MS²Rescore.
- ▌ Third Party Processor Integration 2 · holobiomicslabUse when when you have raw MS files (e.g., .raw, vendor-specific formats) stored in a centralized repository and need to invoke a third-party proteomics analysis tool—such as a mass spectrometry feature detector or quantification engine—without manually managing file transfers or output.
- ▌ Unit Test Design For File Parsing 2 · holobiomicslabUse when when implementing or extending file format parsers in a spectral data pipeline, you need unit tests to ensure that format-specific parsers correctly instantiate spectrum objects with expected m/z arrays, intensity arrays, and metadata attributes before releasing to users or integrating.
- ▌ Cross Domain Metadata Integration 2 · holobiomicslabUse when when you have conducted batch MS/MS searches across one or more domain-specific MASST tools and need to combine their hit scores, metadata annotations, and taxonomic lineages into a single coherent result set for comparative analysis or publication.
- ▌ File Format Detection And Routing 2 · holobiomicslabUse when when you receive a mass spectrometry imaging dataset in unknown or mixed vendor formats and need to apply format-specific preprocessing before generating ion images.
- ▌ Mass Spectrometry Peak Validation 2 · holobiomicslabUse when after peak alignment across all spectra in an MSImagingExperiment using peakAlign(), when you need to reduce the feature set to high-confidence peaks by removing spurious or low-frequency detections.
- ▌ Msi Array Data Structure Handling 2 · holobiomicslabUse when you have imported raw imzML or Analyze 7.5 imaging data and need to represent it as a preprocessed spectral array before applying statistical methods (PCA, clustering, classification).
- ▌ Chemical Class Assignment Classyfire 2 · holobiomicslabUse when you have computed low-dimensional embeddings (e.g., t-SNE coordinates) or clusterings of mass spectra and need to validate that the learned representation space organizes molecules by chemical taxonomy.
- ▌ Conditional Routing Logic Extraction 3 · holobiomicslabUse when you need to understand how a data-processing software system discriminates among multiple input types (LC, GC, IMS, MALDI) and selectively instantiates processing pipelines.
- ▌ Cross Assay Feature Linkage Analysis 3 · holobiomicslabUse when after identifying statistically significant features within individual LC-MS assays (e.g., via MB-VIP and permutation testing), use this skill when you have multiple parallel assays acquired in complementary ionization modes (e.
- ▌ De Novo Mass Spectrum Interpretation 2 · holobiomicslabUse when you have MS/MS spectra (centroided m/z and intensity pairs) and corresponding MS1 precursor masses but lack reference spectra or a priori formula information.