HolobiomicsLab
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- ▌ Spectra Data Representation Backends 2 · holobiomicslabUse when you are creating a new backend to expose MS data (m/z, intensity, retention time, and other spectral properties) from a specific storage format or data source (e.g., mzML files, SQL databases, in-memory matrices, or spectral libraries) to Spectra objects.
- ▌ Spectral Feature Chemical Assignment 2 · holobiomicslabUse when you have spectral feature data annotated by both in silico structural tools (e.
- ▌ Spectral Metadata Enrichment Via API 2 · holobiomicslabUse when you have .msp spectrum files with minimal metadata (e.g., only compound name and mass) and need to augment them with chemical structure descriptors, identifiers, and properties from external databases.
- ▌ Structure Ranking From Spectral Data 2 · holobiomicslabUse when you have an experimental tandem mass spectrum (collision-induced dissociation or ESI-MS/MS) and a chemical formula, and you need to identify the correct structure among multiple isomeric candidates in a database like PubChem.
- ▌ Tree Structural Integrity Assessment 2 · holobiomicslabUse when after generating a Chemical Feature Tree artifact (Phylogeny[Rooted]) from q2-qemistree's make-hierarchy method, or when importing a tree from external sources, to confirm it is well-formed before proceeding to alpha/beta-diversity analysis.
- ▌ Unannotated Feature Characterization 3 · holobiomicslabUse when you have aligned feature tables from LC–MS/MS, corresponding in silico annotations (from GNPS/ISDB or SIRIUS), and metadata describing sample origin. Use it to rank extracts by the proportion of sample-specific, unannotated features—a proxy for structural novelty.
- ▌ Unit Test Design For Data Processing 2 · holobiomicslabUse when building or extending a data extraction and conversion system (such as MESSES) where tabular data is transformed via conversion directives into JSON intermediate formats and then into domain-specific schemas.
- ▌ Xcms Feature Extraction And Grouping 3 · holobiomicslabUse when you have raw mzXML LC/MS files from replicated metabolomics experiments (e.g., 12 samples across labeled/unlabeled conditions) and need to extract, align, and group peaks before downstream feature filtering (e.g., fold-change or isotope enrichment analysis).
- ▌ XML Structured Metadata Construction 2 · holobiomicslabUse when when you have synthesized or assembled mass spectrometry spectral data (m/z values, intensities, retention times) and need to encode it as a portable, standard mzML file format rather than a proprietary binary or text representation.
- ▌ Aromaticity Index Computation 2 · holobiomicslabUse when after molecular formula assignment from FT-ICR MS peaks and elemental composition tabulation (C, H, O, N, S, P counts), when you need to quantify the degree of aromaticity and carbon-skeleton unsaturation for each detected compound to support Van Krevelen classification, chemodiversity.
- ▌ Interactive Plot Rendering Bokeh 2 · holobiomicslabUse when when you have mass spectrometry data in a Pandas DataFrame with columns for m/z, retention time (or ion mobility), and intensity, and you want to generate interactive (rather than static) visualizations for exploratory analysis, interactive drill-down, or deployment in web applications or.
- ▌ Concentration Based Signal Scaling 2 · holobiomicslabUse when you have loaded m/z peak data with metadata that includes a concentration column representing sample loading mass or volume, and systematic intensity variation across samples is suspected to reflect preparation differences rather than true biological variation.
- ▌ Data Quality Validation Lipidomics 2 · holobiomicslabUse when after loading and parsing raw MRM export files (TSV, CSV, or vendor-specific formats) into a pandas DataFrame and decomposing lipid nomenclature, before performing lipid matching, statistical analysis, or visualization.
- ▌ Dot Product Similarity Computation 2 · holobiomicslabUse when when performing open modification spectral library searching and you need to sensitively match query spectra that may carry unknown post-translational or chemical modifications to an unmodified spectral library.
- ▌ External Calibration Model Fitting 2 · holobiomicslabUse when you have acquired targeted mass spectrometry data with measured ion intensities for known standard compounds at multiple concentration levels, and you need to convert sample intensities into absolute or relative concentrations.
- ▌ Interactive Plot Axis Selection UI 2 · holobiomicslabUse when when you have a high-resolution mass spectrometry dataset with m/z values and need to generate Kendrick mass plots where users should choose between plotting raw m/z or computed Normalized Kendrick Mass (NKM) on the x-axis.
- ▌ Msms Spectrum Object Instantiation 2 · holobiomicslabUse when when you have successfully resolved a USI string to extract raw spectrum data from an online proteomics/metabolomics repository (PRIDE, MassIVE, etc.) and need to construct a spectrum object that exposes spectrum data as Python attributes and methods for downstream processing (filtering.
- ▌ Peak Detection Accuracy Assessment 2 · holobiomicslabUse when after running a non-targeted preprocessing (NPP) pipeline (e.g., XCMS, MZmine 2, OpenMS) on the same set of centroided mzML files that were used to generate a validated benchmark dataset.
- ▌ Psm To Spectrum Linking Validation 2 · holobiomicslabUse when when you have PSM files from a proteomics search engine (e.g., MaxQuant, MSGFPlus, Mascot) and corresponding spectrum files (mzML or MGF format) that need to be linked before rescoring.
- ▌ Python Binary Io And Serialization 2 · holobiomicslabUse when when you have mzPeak files (Parquet-based archives in uncompressed ZIP containers) or other PyArrow-compatible columnar formats containing mass spectrometry spectra, and you need to extract and decode spectral data arrays (m/z values, intensities) into Python memory for downstream.
- ▌ Spectra Variable Metadata Handling 2 · holobiomicslabUse when when designing a new MsBackend subclass or extending an existing backend to support mass spectrometry data import or representation.
- ▌ Unsaturation Degree Quantification 2 · holobiomicslabUse when you have FT-ICR MS peak data with assigned molecular formulas (C, H, O, N, S, P elemental counts) and want to characterize the structural saturation and aromaticity of metabolites to assess their biochemical degradation potential, compare chemodiversity across samples, or stratify.
- ▌ User Override Parameter Management 2 · holobiomicslabUse when punc'data's automatic keyword-based column recognition produces incorrect semantic role assignments—for example, when a column header contains a non-standard keyword that the tool fails to recognize, or when a column's true semantic role (e.
- ▌ Histogram Peak Occurrence Analysis 2 · holobiomicslabUse when after you have computed a histogram of pairwise mass differences from MSI peak data and want to identify which mass shifts occur most frequently and whether they correspond to known chemical adducts.
- ▌ Spatio Molecular Matrix Processing 2 · holobiomicslabUse when you have deposited SpaceM spatio-molecular matrices (MORPHnMOL.
- ▌ Spectral Search Result Aggregation 2 · holobiomicslabUse when when you have executed batch searches of MS/MS spectra against multiple domain-specific MASST indices and need to consolidate results across domains (e.
- ▌ Adduct Assignment Accuracy Assessment 2 · holobiomicslabUse when you have a trained formula ranking model (such as MIST-CF) and want to measure the specific performance gain from incorporating multiple positive-mode adduct types (e.g., [M+H]+, [M+Na]+, [M+K]+, [M+NH4]+) instead of restricting predictions to [M+H]+ only.
- ▌ Aird Format Conversion And Validation 2 · holobiomicslabUse when you have vendor mass spectrometry raw files (e.g., .raw, .d, .
- ▌ Cosine Similarity Spectral Clustering 3 · holobiomicslabUse when you have a collection of deconvolved mass spectra (in MGF or mzTab format) from GC-MS analysis and need to group them into a molecular network to identify structural relationships and enable compound annotation.
- ▌ Extracted Ion Chromatogram Processing 2 · holobiomicslabUse when you have Thermo Fisher Orbitrap .raw files and need to locate and quantify specific peptide precursor ions (e.g., iRT calibrants, synthetic standards, or putative identifications).
- ▌ Mass Charge Retention Time Validation 2 · holobiomicslabUse when after loading centroided .mzML LC-MS data and creating a target list with compound ID, name, theoretical or measured m/z, expected RT (in minutes), and polarity designation, perform this validation step to confirm target visibility and refine m/z and RT window parameters before running.
- ▌ Mass Spectrometry Compound Extraction 2 · holobiomicslabUse when you have a preprocessed GC-MS dataset (from spreadOut) with standardized column names (Compound.Name, Component.RT, Base.Peak.MZ, Component.Area, Match.Factor) and a specific list of chemical compounds you want to extract and aggregate across multiple sample runs.
- ▌ Mass Spectrometry Data Representation 2 · holobiomicslabUse when you need to store or retrieve mass spectrometry spectra (m/z and intensity pairs) from a novel data source or storage medium (e.
- ▌ Mass Spectrometry File Format Parsing 3 · holobiomicslabUse when you have raw MS/MS spectral data in one or more standard mass spectrometry file formats (.mgf, .msp, or .mzML) and need to convert them into a standardized bag-of-fragments representation for unsupervised topic modeling or substructure discovery workflows.
- ▌ Mass Spectrometry Peak Classification 2 · holobiomicslabUse when you have raw mzML files and feature tables (CSV format from mzMine or XCMS) from untargeted LCMS experiments and need to distinguish true metabolite peaks from false positives introduced by the peak-picking algorithm.
- ▌ Metabologenomic Database Construction 2 · holobiomicslabUse when you have genome FASTA or annotated genome files (antiSMASH .gbk, BOA .annotated.txt) and wish to discover ribosomally synthesized and post-translationally modified peptides (RiPPs) by integrating genomic and mass spectrometry data.
- ▌ Metabolomic Feature Tree Construction 2 · holobiomicslabUse when when you have preprocessed LC-MS/MS data (MGF file with MS1 and MS2 spectra and a feature abundance table from MZmine2 or similar peak detection tool) and need to perform chemical phylogeny-based diversity analyses or meta-analyses comparing metabolomic profiles across multiple samples or.
- ▌ Metadata Harmonization Across Sources 2 · holobiomicslabUse when you have completed independent batch searches across one or more domain-specific MASST tools (microbeMASST, plantMASST, tissueMASST, microbiomeMASST, foodMASST) and received multiple separate output files (_microbe.html, _plant.json, _matches.tsv, _library.tsv, _datasets.tsv, _count_domain.
- ▌ Module Dispatch Architecture Analysis 3 · holobiomicslabUse when when you need to understand how a multi-instrument mass spectrometry platform (like mzmine) decides which processing module receives a given dataset based on its declared data type (LC vs. GC vs. IMS vs. MS imaging).
- ▌ Precursor Peak Removal Mass Tolerance 2 · holobiomicslabUse when after loading an MsmsSpectrum object but before intensity filtering or spectral annotation.
- ▌ Reaction Propensity Score Computation 2 · holobiomicslabUse when you have measured intracellular metabolite abundances (LC-MS or similar) across multiple cell lines or conditions and a stoichiometric metabolic model (with reaction-metabolite associations) to estimate how differences in substrate availability—independent of gene expression—translate into.
- ▌ Retention Time And Mz Based Alignment 2 · holobiomicslabUse when after peak detection has been completed on individual LC-MS samples and you have a collection of detected peaks with m/z, retention time, and intensity values from each sample.
- ▌ Routing Module Testing And Validation 2 · holobiomicslabUse when when you have implemented conditional routing logic in the GNPS_MASST codebase and need to verify that spectrum submissions with explicit domain-context selections (e.
- ▌ Subformula Assignment Neural Networks 2 · holobiomicslabUse when when you have MS/MS spectra with assigned precursor formulas and need to annotate fragment peaks with their chemical subformulas, but want to avoid the computational overhead of generating full SIRIUS fragmentation trees or do not have access to spectrum databases.
- ▌ Tanimoto Score Threshold Optimization 2 · holobiomicslabUse when when you have a set of MS/MS spectra with ground-truth structural similarity labels (Tanimoto scores computed from molecular fingerprints) and need to choose a decision threshold for classifying spectrum pairs as 'chemically related' or 'unrelated'.
- ▌ Backend Performance Tradeoff Analysis 2 · holobiomicslabUse when you are designing or optimizing an MsBackend implementation and need to decide whether to pre-populate the @spectraVars slot with all core spectra variable columns (mz, intensity, rtime, scanIndex, precursorMz, precursorIntensity, acquisitionNum, msLevel) at initialization time, or defer.
- ▌ Browser Security Policy Configuration 2 · holobiomicslabUse when you need to run a web application locally (by opening index.html directly in the browser) and the application uses WebWorker or WebAssembly modules that fail to load with cross-origin policy or file-access errors.
- ▌ Combination Function Parameterisation 2 · holobiomicslabUse when you have two or more independent, standardised scoring functions that rank the same set of candidate pairs (e.
- ▌ Compound Database Lookup And Curation 2 · holobiomicslabUse when after feature extraction from LC–MS raw data (via XCMS, MS-Dial, or equivalent) has yielded a feature intensity table (samples × features) and feature metadata table (m/z, retention time, feature ID).
- ▌ Configuration Driven Batch Processing 2 · holobiomicslabUse when when processing multiple PSM files from search engines (e.g., MaxQuant, MSGFPlus, Mascot) that omit fixed modifications from their output, or when PSM and spectrum files use inconsistent ID schemes, decoy naming conventions, or modification notations.
- ▌ Corpus Size Coverage Scaling Analysis 4 · holobiomicslabUse when when deploying a Word2Vec-based spectral similarity model (such as Spec2Vec) on a new mass spectrometry dataset and needing to assess whether the pre-trained model's learned peak embeddings sufficiently represent the peaks in your query spectra.
- ▌ Cross Script Consistency Verification 2 · holobiomicslabUse when when a deep learning pipeline processes mass spectrometry spectra through multiple independent scripts (e.g., train_rescore.py, run_fiddle.py, test_caffeine.py) and a specific feature must be removed or masked to prevent the model from learning directly from a protected input (e.
- ▌ Cross Validation Benchmark Evaluation 2 · holobiomicslabUse when you have developed a predictive model and need to compare its performance against established baselines (e.g., linear regression, Random Forest, Canonical Correlation Analysis) across multiple datasets with paired input-output features.
- ▌ Dda Fragmentation Strategy Simulation 2 · holobiomicslabUse when you have real mzML LC-MS/MS data (e.g., from a Beer sample or HMDB reference set) and want to test whether a proposed TopN DDA strategy (or variant) can accurately reproduce the observed acquisition patterns, or you want to compare multiple acquisition controllers on the same chemical.
- ▌ Domain Context To Application Routing 2 · holobiomicslabUse when when a user submits one or more MS/MS spectra and has declared or implied a domain context (microbial, plant, tissue, microbiome, food, or metadata aggregation), and the search must be executed against the appropriate domain-curated spectral library.
- ▌ Heavy Isotope Labeling Interpretation 2 · holobiomicslabUse when your peptide sample has been enriched with stable isotope labels (13C, 15N, etc.) at a known incorporation probability (e.g., 52% 13C).
- ▌ Hotelling T Squared Outlier Detection 2 · holobiomicslabUse when after data normalization (Step 7) on the preprocessed feature matrix when you need to identify and flag anomalous samples before statistical testing or biomarker discovery.
- ▌ Ion Mobility Mobilogram Visualization 2 · 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.
- ▌ Lc Ms Feature Alignment Cross Dataset 2 · holobiomicslabUse when you have two peak-picked, conventionally aligned LC-MS metabolomics datasets (e.
- ▌ Mass Spectrometry Data Format Parsing 3 · holobiomicslabUse when you have raw MS/MS spectra in one of the supported exchange formats (.mgf, .mzML, or .msp) and need to ingest them into an MS2LDA pipeline for unsupervised motif discovery. This skill is required before any preprocessing, filtering, or ionization-mode-specific handling can occur.
- ▌ Mass Spectrometry Screening Workflows 3 · holobiomicslabUse when when you have high-resolution LC-MS or GC-MS data from environmental samples and need to simultaneously screen for both known suspect chemicals and their transformation products, rather than targeting single compounds.
- ▌ Metabolite Abundance Drift Correction 2 · holobiomicslabUse when you have a raw LCMS nontargeted metabolomics abundance table spanning multiple injections with embedded pooled technical replicate (PREF) or internal standard injections distributed across the run sequence.
- ▌ Metabolite Pathway Annotation Mapping 2 · holobiomicslabUse when after peak detection and statistical association or classification analysis has identified a set of significant peaks, use this skill when you need to move from individual feature-level results (peak intensities, p-values, importance scores) to functional biological interpretation via.
- ▌ Metabolomics Feature Table Conversion 2 · holobiomicslabUse when you have generated a feature table via mzrtsim() with simulated LC/GC-MS abundances, condition assignments, and batch labels, and you need to pass it to Bioconductor tools (e.g., for batch correction, normalization, or statistical analysis) that expect SummarizedExperiment-class input.
- ▌ Multidimensional Coordinate Alignment 3 · holobiomicslabUse when you have detected feature tables from two or more LC-IMS-MS/MS samples (each containing m/z, drift_time, retention_time, and intensity measurements) and need to identify which features correspond to the same chemical compound across samples.
- ▌ Natural Isotope Abundance Propagation 2 · holobiomicslabUse when you have LC-MS fractional abundances of measured isotopologues (FAM) from a stable isotope labeling experiment and need to recover the true mass distribution vectors (MDV) that reflect only the contribution from the isotopic tracer. Use this skill when naturally occurring isotopes (e.
- ▌ Neural Network Architecture Extension 2 · holobiomicslabUse when you have a working base MPNN model (e.g., chemprop) and need to add task-specific feature processing layers (spectral, electronic, or domain features) to improve predictions on a specialized molecular property or spectrum.
- ▌ Ora Statistical Background Definition 2 · holobiomicslabUse when you are implementing ORA for metabolomics pathway analysis and must decide which metabolites constitute the statistical background against which to test your experimental detection list.
- ▌ Peak Picking Performance Benchmarking 2 · holobiomicslabUse when when you have completed non-targeted peak picking and alignment with tools such as MZmine 2, XCMS, or MS-DIAL on LC-HRMS mzML data and need to quantify performance metrics (found peaks %, degenerated isotopologue ratio, alignment errors) by comparing against a curated benchmark of known.
- ▌ Peak Property Dictionary Construction 2 · holobiomicslabUse when when you have identified the set of analytes (peptides, nucleosides, or other biomolecules) you wish to simulate in silico, and you need to prepare their chemical properties (m/z, intensity, retention time) in a machine-readable format before applying fragmentation and noise injection.
- ▌ Peptide Isotopic Envelope Calculation 2 · holobiomicslabUse when you have a peptide sequence, precursor charge state, and observed m/z spectrum and need to generate the expected isotopic distribution to match against observed precursor or fragment ion peaks. This is especially critical in SIP workflows where incorporation probabilities (e.g., 0.
- ▌ Rc Object Construction And Validation 2 · holobiomicslabUse when after feature detection and alignment (XCMS or equivalent), when you have a CSV feature table with m/z and retention time columns and need to group features derived from the same compound.
- ▌ Repository Cloning And Initialization 2 · holobiomicslabUse when you have a GitHub repository URL, a documented Python version requirement, and a list of pinned package versions, and you need to verify that the application will initialize without import or runtime errors before proceeding to data analysis or method replication.
- ▌ Spectral Library Integration Workflow 2 · holobiomicslabUse when when you have experimental UHPLC-HRMS/MS data targeting lipid species not adequately covered by LipidMatch's built-in library (500,000+ species across 60+ lipid types), or when working with specialized applications requiring custom lipid definitions (e.
- ▌ Spectral Library Match Classification 2 · holobiomicslabUse when when you have run MS2Query on query MS/MS spectra and obtained results with library matches that need to be disambiguated into two categories: (1) exact matches (precursor m/z difference near zero) versus (2) analog matches (chemically related but different precursor m/z).
- ▌ Spectral Library Matching And Ranking 2 · holobiomicslabUse when when you have discovered Mass2Motifs from MS2LDA topic modeling and need to automatically annotate them by finding the most structurally similar known spectra in a reference library.
- ▌ Spectral Similarity Score Computation 2 · holobiomicslabUse when when you have pairs of MS/MS spectra (in mgf, msp, mzml, mzxml, json, or usi format) and need to retrieve structurally related compounds or rank spectral similarity on a continuous scale (Tanimoto prediction).
- ▌ Statistical Visualization Multi Group 2 · holobiomicslabUse when when you have loaded search results from two or more DIA-MS analysis tools (e.
- ▌ Summary Statistics Table Construction 2 · holobiomicslabUse when when you need to quantify and compare the effect of multiple filtering thresholds (e.g., Match.Factor ≥65, ≥80, ≥90) on the size of a retained compound set.
- ▌ Tensor Operation Element Wise Product 2 · holobiomicslabUse when you have two embedding tensors of identical shape (e.g., both 512-dimensional) and need to produce a fused representation that captures multiplicative interactions between modalities.
- ▌ Transformation Product Parent Linkage 2 · holobiomicslabUse when after suspect screening has identified both parent features (from before-treatment or reference samples) and TP candidate features (from after-treatment or exposed samples) in the same analysis set, and you have MS/MS spectral data or formula annotations available.
- ▌ Large Scale Database Construction 2 · holobiomicslabUse when you have a collection of molecular structures (as SMILES or SDF files) and need to generate pre-computed CCS values for fast retrieval in downstream mass spectrometry workflows.
- ▌ Twim Instrument Offset Correction 2 · holobiomicslabUse when you have raw TWIM-MS data with arrival times (detector timestamps) rather than drift times, and you need to calibrate collision cross section values. TWIM platforms inherently record arrival time, not drift time, so this correction must precede CCS calibration workflows.
- ▌ Cascade Search Strategy Fdr Control 2 · holobiomicslabUse when when searching high-resolution mass spectra against spectral libraries and you need to identify both unmodified and post-translationally modified peptides while maintaining strict control over false positive identifications.
- ▌ Cross Reference Publication Linking 3 · holobiomicslabUse when when cataloging a suite of related bioinformatics tools or web applications (particularly in domains like metabolomics, microbiology, or systems biology) and you need to establish the authoritative peer-reviewed or preprint publication for each tool, verify publication URLs are live, and.
- ▌ Data Column Recognition And Mapping 2 · holobiomicslabUse when when uploading a delimited CSV or similar tabular file to Punc'data containing high-resolution mass spectrometry results, and the column headers are present but their semantic roles (e.
- ▌ Data Handoff Pipeline Orchestration 2 · holobiomicslabUse when you have raw MS files (with associated metadata: filename, upload path, file format) staged in an uploader repository and need to route them to a proteomics processor for analysis while preserving audit trails and ensuring format compatibility before processing begins.
- ▌ M Z Retention Time Feature Matching 2 · holobiomicslabUse when after extracting a feature table from XCMS, MS-Dial, or similar tools, when you possess a reference compound database with known m/z, retention time, and metadata, and you need to assign high-confidence (AnnoLevel 1) compound identities.
- ▌ Mass Spectrometry Format Conversion 2 · holobiomicslabUse when when you have mass spectrometry spectra in one of the six supported formats (mzML, mzXML, msp, metabolomics-USI, MGF, JSON) and need to convert them to a different format for compatibility with downstream tools, or when importing raw spectra into matchms for the first time and need to.
- ▌ Mass Spectrometry Peak Data Loading 2 · holobiomicslabUse when when you have raw or parsed MS spectra data (m/z values, intensity values, and spectral metadata) and need to integrate it into a Spectra object for downstream processing.
- ▌ Mass Spectrometry Raw File Handling 2 · holobiomicslabUse when you have raw MS data files from Thermo Orbitrap or other vendor instruments that must be uploaded into a centralized platform for automated processing. Use it at the start of a multi-stage omics workflow where data collection, management, processing, and visualization are integrated;
- ▌ Molecular Formula Search Assignment 2 · holobiomicslabUse when you have a recalibrated FT-ICR mass spectrum (Bruker .d format or equivalent) with detected, noise-thresholded peaks and need to assign chemical formulas to each peak. This is particularly relevant when analyzing samples with unknown composition (e.
- ▌ Python Random Access Implementation 2 · holobiomicslabUse when when you have an indexed gzip file (mzML.gz with internal index structure) and need to retrieve individual spectra or chromatograms by integer index without decompressing the entire file.
- ▌ Rdkit Molecular Property Extraction 2 · holobiomicslabUse when when you have a set of compounds represented as SMILES strings and need to compute their molecular properties (neutral mass, adduct-adjusted masses, mordred descriptors) for comparison against experimental peaks, retention time predictions, or similarity-based filtering thresholds during.
- ▌ Adduct Ion Parent Ion Pairing Analysis 3 · 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).
- ▌ Constraint Based Flux Balance Analysis 2 · 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 2 · 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 2 · 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.
- ▌ Lc Ms Feature Grouping And Compounding 3 · 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 2 · 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.