HolobiomicsLab
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- ▌ Cross Validation Workflow Execution · 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.
- ▌ CSV Format Specification Compliance · holobiomicslabUse when after feature extraction or feature alignment when you have FeatureSet or Sample objects that must be exported as CSV files for sharing, archival, or downstream analysis. Specifically: (1) when exporting single-sample feature tables from find_feature() output;
- ▌ Dataset Preprocessing And Filtering · 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.
- ▌ Dataset Train Test Split Validation · holobiomicslabUse when when preparing MS/MS spectra for deep learning model training on a specific instrument type (e.g., Orbitrap, Q-TOF), and you need to verify that configuration-driven filtering (e.g., adding 'ftms' to an instrument allowlist) produces training and test sets of the expected size (e.
- ▌ Dda Precursor Fragment Ion Grouping · holobiomicslabUse when when you have raw DDA mass spectrometry data (mzML, mzXML, or netCDF format) where precursor ions have been fragmented and you need to associate each fragment ion back to its parent precursor ion to generate coherent, precursor-specific fragmentation spectra for chemical annotation.
- ▌ De Novo Structure Candidate Ranking · 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.
- ▌ Encoder Decoder End To End Training · holobiomicslabUse when you have a pretrained encoder that produces fixed-size embeddings from MS/MS spectra (or similar spectral data), a tokenized target dataset of canonical SMILES strings representing molecular structures, and you need to learn a decoder that reliably reconstructs the molecular structure from.
- ▌ Enrichment Statistical Thresholding · holobiomicslabUse when after running Enrichment() on a configured EnrichParam object (via KEGG_Enrich_PlotPanel or similar), when you have a full enrichment result table and need to reduce it to pathway hits meeting a specific significance threshold before visualization or export.
- ▌ Excel File Parsing For Metabolomics · holobiomicslabUse when you have a preprocessed LC-MS peak table exported from peak-picking software (e.g., MS-DIAL) in Excel format with three logical compartments: sample annotation (rows), feature annotation (columns), and abundance matrix (numeric values).
- ▌ False Discovery Rate Interpretation · holobiomicslabUse when when you have executed database search pipelines (Dereplicator, VarQuest, or Dereplicator+) on centroided LC-MS/MS spectra in MGF format and obtained match results with associated p-values and false discovery rates.
- ▌ False Positive Annotation Filtering · holobiomicslabUse when after high-scoring spectral library matching (e.g., EQ module output) of LC-MS/MS data yields candidate lipid annotations; when spectral similarity alone produces false positives and you have computed relative retention time intervals across species cohorts;
- ▌ Feature Intensity Ratio Calculation · holobiomicslabUse when after generating a feature table from LC-MS/MS data when your experiment includes blank control samples and you need to remove features driven by background ions or instrumental contamination.
- ▌ Feature Table Export And Formatting · 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.
- ▌ Fixed Architecture Layer Validation · 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.
- ▌ Flux Propensity Dataset Integration · holobiomicslabUse when when you have (1) LC-MS normalized intracellular metabolite abundance data across multiple cell lines or samples, (2) a constraint-based metabolic model with stoichiometric coefficients, and (3) a need to quantify metabolic control through substrate availability independently of enzymatic.
- ▌ Format Conversion Conditional Logic · holobiomicslabUse when you have generated a lipid spectral library (with lipid identities, adducts, m/z values, and fragmentation patterns) and need to export it for downstream mass spectrometry analysis on either an Orbitrap (via Excalibur DDA) or via Skyline's transition-based workflow.
- ▌ Formula Ranking Accuracy Evaluation · 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.
- ▌ Fractional Abundance Transformation · holobiomicslabUse when you have raw LC-MS fractional abundances of isotopologues (FAM) from a stable isotope labeling experiment (e.
- ▌ Fragment Mass Tolerance Calibration · holobiomicslabUse when when implementing fragment ion annotation in proteomics workflows and needing to determine whether neutral loss annotation (e.g., H2O: -18.010565, NH3: -17.026549) should be enabled to maximize peak interpretation.
- ▌ Genome Annotation Format Comparison · holobiomicslabUse when when running metabologenomic RiPP detection pipelines (MetaMiner) on the same genomic dataset but with different input sequence formats (e.g., contigs.fasta vs. antiSMASH .final.gbk output), or when unexpected null results occur and input format choice is a plausible cause.
- ▌ Gpu Accelerated Spectrum Clustering · 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 · holobiomicslabUse when when clustering or encoding large MS/MS spectra datasets (>1 million spectra) where CPU-only runtime exceeds practical thresholds (hours to days).
- ▌ Graph Neural Network Encoder Design · holobiomicslabUse when when you need to compare spectrum prediction models fairly across different encoder architectures (GNN vs. FFN vs. Transformer), and you require equivalent settings (same covariates, identical hyperparameter sweeps) to isolate the effect of the encoder design.
- ▌ Hdf5 Output Validation Verification · holobiomicslabUse when after invoking the DEIMoS CLI with a configuration file and allowing the Snakemake workflow to execute, use this skill to confirm successful completion of all workflow rules.
- ▌ High Resolution Ms2 Peak Assignment · holobiomicslabUse when you have high-resolution MS2 data in .ms2 format from lipid A samples and need to perform automated structure annotation to identify lipid A molecular variants and their fragmentation patterns at scale.
- ▌ Hmdb Compound Database Manipulation · holobiomicslabUse when when you need to establish a reproducible inventory of compounds for LC-MS/MS simulation studies, particularly to determine how many unique molecular formulas fall within a target m/z window (e.g., 100–1000 Da) and MS1 detection level.
- ▌ Hplc Column Parameter Normalization · holobiomicslabUse when when you have raw HPLC column specifications from RepoRT or similar metadata repositories and need to prepare them as input features for machine learning models. Apply this skill before featurizing molecular structures or training graph transformers for retention time prediction.
- ▌ Hrms Feature Annotation Integration · 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.
- ▌ Identity Search Spectrum Annotation · holobiomicslabUse when you have experimental MS/MS spectra and need to assign definitive molecular identities by matching against a curated spectral library.
- ▌ In Silico Spectrum Generation Cfmid · holobiomicslabUse when when you have a list of SMILES strings representing chemical structures and need to create paired SMILES-spectrum training data for a generative model (like MSGO) without requiring experimental mass spectra.
- ▌ Installation Requirement Validation · holobiomicslabUse when before attempting to run QCxMS2 for the first time, after updating any external dependencies (xtb, CREST, molbar, orca, geodesic_interpolate), or when troubleshooting unexplained calculation failures.
- ▌ Intensity Normalization And Scaling · 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 · 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.
- ▌ Intensity Vector Manipulation Numpy · holobiomicslabUse when you have extracted mass tracks (EICs) from multiple LC-MS samples aligned into a MassGrid structure, and you need to combine their intensity vectors into a single composite intensity vector for peak detection on the aggregate signal rather than per-sample.
- ▌ Interference Profile Identification · holobiomicslabUse when after running saturation repair or multidimensional smoothing on IM-MS data when you need to validate whether corrected peaks are reliable or whether overlapping coeluting/comobiling ions may have caused incorrect signal reconstruction.
- ▌ Ion Adduct Isotope Pattern Matching · holobiomicslabUse when you have a preprocessed feature table (m/z, retention time, intensities) from LC-MS and need to group features into empirical compounds.
- ▌ Ion Mobility Calibration Validation · 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 · 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.
- ▌ Irt Peptide Calibration And Scoring · holobiomicslabUse when when you need to assess whether retention times measured on a given LC-MS run follow the expected linear relationship defined by iRT peptide standards (e.g., Pierce or Biognosys iRT peptides).
- ▌ Isotopologue Mass Delta Calculation · holobiomicslabUse when when constructing a reference mass-matching framework for untargeted metabolomics or isotope-tracing LC-MS data, before pattern-matching observed features to isotopic and adduct variants.
- ▌ Isotopologue Pattern Detection Lcms · holobiomicslabUse when after filtering LC-MS features by statistical significance (e.g., p-value < 0.01) and you wish to group features that represent the same metabolite at different isotopologue states.
- ▌ Lc Hrms Data Preprocessing Pipeline · 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.
- ▌ Lc Ms Roi Annotation Interpretation · holobiomicslabUse when when you have extracted LC-MS ROI windows (m/z × retention time snippets) from raw mzML data and need to distinguish genuine metabolite peaks from noise or artifacts.
- ▌ Lipid Chain Composition Enumeration · 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.
- ▌ Lipid Species Annotation Assessment · holobiomicslabUse when after running MetaboAnnotatoR's annotateRC function when you need to (1) verify that the top-ranked annotation for a feature is correct, (2) understand what alternative lipid structures (e.
- ▌ Mass Accuracy Tolerance Calibration · 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 Spectral Relationship Matching · holobiomicslabUse when after peak detection and feature table generation when you have a collection of m/z, retention time, and intensity values and need to identify which features are related variants (isotopes, adducts, or fragments) of the same parent compound.
- ▌ Mass Spectrometry Cluster Detection · holobiomicslabUse when you have 32-dimensional GLEAMS embeddings (output from the `gleams embed` step) and need to group spectra by their underlying peptide identity.
- ▌ Mass Spectrometry Data File Parsing · holobiomicslabUse when you receive raw MS data files from LC-MS, LC-IMS-MS, direct infusion, or DDA/DIA experiments and need to extract ion chromatograms, mobility heatmaps, quality metrics, or perform spectral matching.
- ▌ Mass Spectrometry Fragment Matching · 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.
- ▌ Mass Spectrometry Outlier Detection · 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 Spectrometry Query Formulation · holobiomicslabUse when you have a high-resolution LC-MS/MS experiment with a measured [M+H]+ or [M-H]− ion mass and optionally a parent ion fragmentation spectrum (peak list with m/z and intensity pairs), and you seek to generate candidate molecular structures for an unknown metabolite that may not be in.
- ▌ Mass Spectrometry Result Tabulation · holobiomicslabUse when after executing a MassQL query against mzML mass spectrometry data files and obtaining tabulated results (DataFrame or equivalent in-memory table), apply this skill to persist those results in both human-readable CSV format and visual image form for archival, sharing, and downstream.
- ▌ Metabolic Pathway Database Querying · 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 Annotation Result Export · holobiomicslabUse when after running the annotateRC function on LC-MS All-ion fragmentation (AIF) features and obtaining a populated annotations object with ranked candidate matches, use this skill when you need to persist results to disk for archival, sharing, or downstream interpretation (e.
- ▌ Metabolite Database File Formatting · holobiomicslabUse when after generating or filtering transformation products using generateTPs() or filter(), when you need to annotate MS/MS spectra using MetFrag and require a database of candidate structures (parent compounds and/or their TPs) in a format MetFrag can read.
- ▌ Metabolite Filter Status Extraction · holobiomicslabUse when after chaining one or more mpactr filter operations (mispicked, group, cv, insource) on an imported peak table and before generating quality-control reports or interactive visualizations.
- ▌ Metabolite Lipid Annotation Ranking · holobiomicslabUse when you have LC–MS All-ion fragmentation chromatograms processed through xcms and RamClustR, a feature table with unknown identities, and you want to recover lipid annotations by matching observed spectra against lipid fragment libraries (e.g., LipidPos).
- ▌ Metabolite Taxonomy Database Lookup · 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.
- ▌ Metabolomics Data Format Validation · holobiomicslabUse when you have a tab-delimited metabolomics data file (raw measurement output from xcms, Sciex OS, or similar acquisition pipelines) and need to load it into mzQuality before building a SummarizedExperiment.
- ▌ Metabolomics Data Output Formatting · holobiomicslabUse when after completing feature annotation with the annotateRC function on LC–MS All-ion fragmentation (AIF) datasets, when you need to persist ranked metabolite candidates, matched ion spectra, and global summary tables to disk for archival, manual review, or integration into downstream.
- ▌ Mgf Metadata Completion From Smiles · 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.
- ▌ Mispicked Ion Detection And Merging · holobiomicslabUse when immediately after importing raw LC-MS peak tables (e.g., Progenesis format) and before applying group or replicability filters.
- ▌ Model Validation Regression Metrics · holobiomicslabUse when after training a deep-learning model on paired MS/MS spectra with annotated structural similarity labels, use this skill to assess whether predicted similarity scores correlate with ground-truth reference similarities on data the model has never seen.
- ▌ Molecular Family Graph Construction · holobiomicslabUse when you have downloaded and extracted a GNPS archive (from METABOLOMICS-SNETS, METABOLOMICS-SNETS-V2, FEATURE-BASED-MOLECULAR-NETWORKING for GNPS1, or classical_networking_workflow/feature_based_molecular_networking_workflow for GNPS2) and need to construct a queryable molecular family graph.
- ▌ Molecular Property Data Structuring · holobiomicslabUse when you have a CSV file with rows of molecule definitions (chemical formulas, retention times, intensities, or other peak properties) and need to feed them into SMITER's simulation workflow.
- ▌ Ms2 Spectral Similarity Computation · 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.
- ▌ Msms Spectrum Metadata Preservation · holobiomicslabUse when removing invalid or malformed entries (e.g., SMILES validation, format errors) from large spectral datasets (GNPS, MoNA, MTBLS1572, MassBank).
- ▌ Multi Criterion Scoring Integration · 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.
- ▌ Multidimensional Feature Annotation · holobiomicslabUse when you have a peak-picked feature table (HDF5 format) from high-dimensional MS data (m/z, drift_time, retention_time, intensity) and need to identify and label isotopic signatures to distinguish monoisotopic peaks from isotopologues, reduce feature redundancy, and support multi-dimensional.
- ▌ Multidimensional Ms Data Conversion · 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;
- ▌ Nearest Neighbor Index Construction · holobiomicslabUse when when you have millions of high-resolution MS/MS spectra converted to low-dimensional vectors (via feature hashing) and need to compute a sparse pairwise distance matrix for downstream density-based clustering.
- ▌ Network Based Functional Prediction · holobiomicslabUse when you have an untargeted metabolomics feature table with m/z values, retention times, intensity measurements, and p-values from statistical testing, but lack or wish to bypass metabolite identification.
- ▌ Nextflow Pipeline Configuration Hpc · 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;
- ▌ Paired Omics Data Structure Mapping · holobiomicslabUse when when you have a paired omics project document (JSON format) that combines MS/MS mass spectrometry data with genome identifiers, biosynthetic gene cluster information, sample preparation, extraction method, and instrumentation metadata, and you need to verify it conforms to the platform's.
- ▌ Peak Area And Intensity Measurement · holobiomicslabUse when when you have vendor-format GC-CI-MS or LC-MS data from stable isotope labeling experiments, a target list of compounds with known monoisotopic m/z, retention time, and elemental formula, and you need per-isotopologue area and intensity values for quantification or downstream statistical.
- ▌ Per Sample Pass Fail Classification · holobiomicslabUse when after LC-MS data acquisition is complete (or during real-time monitoring) and you have loaded processed LC-MS data in mzML or vendor format and defined QC criteria (retention time windows, m/z tolerances, intensity thresholds) for your internal standards and target analytes.
- ▌ Permutation Test P Value Estimation · holobiomicslabUse when after computing Multi-Block Variable Importance in Projection (MB-VIP) scores on a fitted MB-PLS discriminant model, when you need to distinguish signal features from noise by establishing empirical significance thresholds rather than relying on parametric assumptions.
- ▌ Publication Image Asset Preparation · 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.
- ▌ Retention Time Alignment Clustering · holobiomicslabUse when you have two or more nontargeted LCMS feature tables from the same analytical method and need to establish matched feature correspondences across datasets, then consolidate redundant features.
- ▌ Retention Time Alignment Correction · 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).
- ▌ Retention Time Alignment Validation · holobiomicslabUse when after sample alignment step in untargeted LC-MS workflows, particularly when processing multi-sample cohorts with QC samples interspersed throughout the sequence.
- ▌ Retention Time And Mz Weight Tuning · holobiomicslabUse when after anchor selection and RT mapping spline construction, when you have a fitted metabCombiner object with pre-aligned feature pair candidates and need to tune the scoring metric that combines retention time, m/z, and cosine similarity components.
- ▌ Retention Time Clustering Alignment · holobiomicslabUse when you have extracted feature tables (via MS1 peak picking, MS2 recognition, or targeted list extraction) from two or more individual LC-MS samples and need to identify which features represent the same metabolite across samples before generating a unified, sample-aligned feature table for.
- ▌ Retention Time Co Elution Detection · holobiomicslabUse when after matching mass-to-charge ratios to a compound database (e.g., KEGG) and assigning adduct/fragment types, when you have an annotated feature table with retention times, m/z values, and intensity profiles across samples.
- ▌ Retention Time Intensity Tabulation · holobiomicslabUse when when you have a resolved mzML or mzXML spectrum file and need to visualize or analyze the temporal intensity profile of a specific analyte (defined by its m/z value).
- ▌ Retention Time Mz Intensity Mapping · holobiomicslabUse when you have processed LC-MS run data (feature table or peak detection output) containing internal standard identifications with retention times, m/z values, and intensity measurements across multiple samples, and you need to rapidly detect instrumental drift, retention time shifts, or.
- ▌ Root Mean Squared Error Calculation · holobiomicslabUse when when you have paired predictions and ground-truth structural similarity labels (e.g., predicted Tanimoto scores from a neural network and reference Tanimoto scores from RDKit Daylight fingerprints) and need to report a single scalar metric of model prediction error across all pairs.
- ▌ S4 Class Definition And Inheritance · holobiomicslabUse when you are designing a new backend or data container that must integrate seamlessly with an existing Spectra-based workflow. You have identified a virtual parent class (e.
- ▌ Sample Metadata Annotation For Lcms · holobiomicslabUse when when you have loaded centroided .mzML files into a Spectra object and plan to use TARDIS (tardisPeaks) with an MsExperiment object rather than file paths, and you need TARDIS to distinguish QC runs from sample runs for separate quality metric calculation, polarity filtering, and.
- ▌ Set Activity Prioritization Ranking · holobiomicslabUse when after computing activity scores for a collection of metabolite sets (pathways, GNPS Molecular Families, or MS2LDA Mass2Motifs) from intensity and annotation data.
- ▌ Similarity Threshold Interpretation · 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.
- ▌ Singly Charged Ion Mass Calculation · holobiomicslabUse when you have detected monoisotopic features (m/z, drift_time, retention_time, intensity) from LC-IMS-MS/MS data and need to identify and cluster their C13 isotopologues for charge state z=+1.
- ▌ Singularity Container Backend Setup · 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 .
- ▌ Skyline Import Format Specification · holobiomicslabUse when you have computationally generated precursor m/z values, fragment m/z values, collision energies, and retention time predictions for a set of lipid targets (e.
- ▌ Sparse Distance Matrix Construction · 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 Entropy Quality Assessment · holobiomicslabUse when after feature detection and alignment in untargeted MS data processing, when you need to filter or rank candidate metabolite annotations by spectral quality before committing to xenobiotic metabolite assignments. Use when combining fragmentation similarity scores (e.
- ▌ Spectral Feature Vector Aggregation · holobiomicslabUse when you have generated per-sample MS2 fingerprints (as spec2vec document representations counting MS2 peaks and neutral losses to precursor in each sample) and need to align them into a single matrix for downstream cross-sample comparison, filtering, or visualization (e.
- ▌ Spectral Library Record Structuring · holobiomicslabUse when you have extracted MS1 and MS2 scans (in mzML/mzXML format) from raw chromatogram files and possess user-provided metadata (retention time, m/z, compound name, molecular weight, annotation fields) that you need to bind together into a queryable spectral library record for local compound.
- ▌ Spectral Match Result Consolidation · 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.