IAS CONTRACT DATA ANALYSIS
We receive existing NGS, imaging, proteomics, spatial multi-omics, and related data, then use IAS for QC, analysis, visualization, and result organization. Scope and deliverables are agreed before work starts.
LifeAnalytics covers the analysis stage after data generation. Wet-lab, imaging, measurement, and other data-acquisition work are excluded; data must fit an IAS analysis workflow.
ANALYSIS CATALOG
Commencez par le type de données et la question scientifique, même sans connaître le nom de l’analyse. Avant devis, nous confirmons les entrées, le plan comparatif, la faisabilité, les livrables et la part standard ou sur mesure.
57options d’analyse
Relier expression et régulation au plan d’étude, au QC, aux candidats et à l’interprétation fonctionnelle.
Formats d’entrée courantsFASTQ, BAM/CRAM, count matrices, CSV/TSV, sample sheets, reference genome and GTF/GFF
Discuter de ce domaineOrganiser qualité, couverture, variants et annotations dans un dossier traçable pour la revue scientifique.
Formats d’entrée courantsFASTQ, BAM/CRAM, VCF/gVCF, PED, phenotype tables, reference genome and annotation
Discuter de ce domaineVisualiser populations, marqueurs, régions et voisinages en conservant le contexte spatial et d’échantillon.
Formats d’entrée courantsH5AD, h5, matrix/barcodes/features, CSV/TSV, spatial coordinates, tissue images, sample metadata
Discuter de ce domaineÉvaluer composition, différences entre groupes et profils fonctionnels avec lots et comparaisons explicites.
Formats d’entrée courantsFASTQ, feature and taxonomy tables, FASTA, sample metadata, and existing diversity results
Discuter de ce domaineQuantifier morphologie, intensité, localisation et phénotypes en 2D, Cell Painting, 3D et imaging flow.
Formats d’entrée courantsTIFF/OME-TIFF, OME-Zarr, CZI, Z-stacks, plate maps, ROIs, and analyzable ImageStream data
Discuter de ce domaineExaminer abondance et structure sous l’angle de la qualité, des statistiques, de la fonction et des interactions.
Formats d’entrée courantsmzML, protein/peptide tables, PDB/mmCIF, SDF/MOL2, FASTA, and structure predictions
Discuter de ce domaineIntégrer tableaux, figures et journaux historiques aux données nouvelles pour clarifier reproductibilité et suite.
Formats d’entrée courantsCSV/TSV, spreadsheet exports, reports, figures, notebooks/logs, metadata, and processed modality data
Discuter de ce domaineLes travaux sur mesure nécessitent une revue de la qualité, du volume, des références et des conditions d’usage avant confirmation de la faisabilité et du coût. Mesure, acquisition d’images et préparation de librairies sont exclues.
SCIENTIFIC CASE FILES
Chaque cas relie la question, les données d’entrée, le workflow, la lecture visuelle et la décision suivante afin de préciser la demande et les livrables.
10cas scientifiques
Which genes and pathways distinguish responders from non-responders well enough to justify a validation panel?
Read and mapping QC
Covariate-aware differential expression with FDR control
GSEA, heatmap and candidate prioritization
A volcano plot combines effect size and significance, while the heatmap tests whether the candidate signature separates samples consistently.
Select a 12-gene panel for qPCR, perturbation or independent-cohort validation.
Can a rare population and its post-treatment transition be resolved beyond bulk averages?
Doublet, low-quality-cell and ambient-RNA QC
Integration, clustering and marker-guided annotation
Differential abundance, pseudotime and interaction candidates
Six states and two trajectory branches are reviewed by subject to determine whether the rare population concentrates at a reproducible endpoint.
Define the population and markers for an expanded staining panel, sorting or functional validation.
Which microbial groups and community-level shifts respond beyond a compositional artifact?
Depth, contamination and prevalence QC
Alpha/beta diversity and paired statistical models
Differential taxa, co-occurrence and phenotype association
Stacked abundance, paired diversity change and PCoA movement are reviewed together for a consistent biological interpretation.
Advance five reproducible genera to qPCR, culture or metabolite follow-up.
How do cell composition and pathway activity differ across core, invasive edge and stroma?
Image-coordinate-expression registration QC
Spatial domains, deconvolution and regional comparison
Neighborhood, colocalization and spatial pathway analysis
Colored spots and local statistics reveal where morphological and molecular boundaries agree or diverge.
Choose regions and markers for additional IF, ROI profiling or boundary-focused validation.
Can morphology expose a drug response that viability alone misses?
Illumination and focus QC with nuclear/cell/organelle segmentation
Morphology, texture, intensity and neighborhood features
Single-cell distributions, mixed models and dose-response fitting
Segmentation overlays document object quality while feature distributions and EC50 remain traceable in the same report.
Select confirmatory concentrations, morphology features and live-cell imaging conditions.
Is a low-frequency cluster a reproducible cell phenotype rather than an analysis artifact?
Compensation, focus, singlet and debris QC
Cross-check manual gates with UMAP/clusters
Rare-population abundance, image montage and marker statistics
Events inside the density gate are linked back to source images to verify morphology and marker consistency.
Lock the population definition for added antibodies, sorting or functional assays.
Which candidates survive covariates, missingness and pathway-level consistency checks?
Missingness, LOD, sample and distribution QC
Normalization and covariate-aware testing with FDR control
Pathway, protein-network and robustness review
Volcano candidates are checked against network modules to separate isolated changes from coherent pathway effects.
Choose eight proteins for orthogonal confirmation and the next panel design.
Which transcription factors and target genes explain condition-specific chromatin changes?
Mapping, duplicate, FRiP, TSS and reproducibility QC
Peak calling, consensus peaks and differential accessibility/binding
Motif, peak-gene and expression integration
Genome tracks expose reproducible peaks and condition effects, retaining regulatory candidates whose motif and expression directions agree.
Select enhancer candidates for ChIP-qPCR, reporter assays or CRISPRi.
Can changes across separate layers be explained by common biological axes?
Modality-specific QC, normalization and sample matching
Latent-factor, correlation and pathway integration
Module-phenotype association and leave-one-out robustness
Cross-layer edges are condensed into factors and pathways, reducing correlations driven by only one modality.
Define a minimal follow-up marker panel and the modules to test mechanistically.
Can candidates be ranked using explainable residue contacts and binding poses, not only a docking score?
Structure, protonation, ligand and pocket preparation
Docking/rescoring, pose clustering and interaction fingerprints
Known-activity concordance, selectivity risk and optional MD review
Top poses are compared inside the pocket with hydrogen bonds, hydrophobic contacts, clashes and site selectivity shown explicitly.
Select five compounds for synthesis, purchase or biophysical assays and define substituent directions.
Simulation illustrativeLes valeurs et motifs sont simulés pour expliquer le plan d’analyse. Il ne s’agit ni de données clients, ni de résultats cliniques, ni de garanties de performance. Méthodes, seuils et livrables sont convenus selon les données et l’objectif.
REQUEST EXAMPLES
Partez de la décision à prendre, puis consultez entrées, workflow et livrables. Un exemple proche ouvre le formulaire avec une trame structurée.
15exemples de demande
Question fréquenteComparer contrôle et traitement en tenant compte des lots et réplicats biologiques.
Question fréquenteIdentifier des peaks reproductibles et les gènes associés avec input/control et réplicats.
Question fréquenteRevoir couverture et filtres et produire une table priorisée incluant les candidats connus.
Question fréquenteAuditer appariement, profondeur et filtres afin de définir la réanalyse nécessaire.
Question fréquenteRevoir qualité et lots et explorer les clusters variant selon la condition.
Question fréquenteAligner image, coordonnées, expression et protéines pour comparer le tissu.
Question fréquenteÉvaluer diversité et taxons en conservant le plan apparié et les lots.
Question fréquenteRevoir lectures hôte et profondeur puis organiser les différences fonctionnelles.
Question fréquenteMesurer les caractéristiques cellulaires de façon reproductible avec une acquisition cohérente.
Question fréquenteTenir compte plaque, puits, champ et lot pour explorer similarités et valeurs atypiques.
Question fréquenteConserver les voxels et comparer volume, surface et relations spatiales 3D.
Question fréquenteRevoir focus, singlets et compensation et associer caractéristiques d’image et gating.
Question fréquenteRevoir données manquantes, lots et réplicats et sélectionner avec contrôle FDR.
Question fréquenteRevoir la confiance et visualiser alignement, pockets et contacts résiduels.
Question fréquenteInventorier les sorties aux ID ou méthodes différents et déterminer les comparaisons possibles.
Ces scénarios servent à concevoir une demande ; ils ne constituent ni des projets clients identifiés, ni des revendications de performance, ni une garantie de résultat. Workflow et livrables sont convenus après revue des données.
CONSULTATION CHECKLIST
Partagez d’abord un simple aperçu. Nous vérifions faisabilité, métadonnées et transfert sécurisé avant tout fichier.
We confirm study design, sample context, and references before selecting a standard or custom workflow.
Connect expression, group differences, and candidate genes to research review.
Organize sequence QC, variant candidates, and annotations in one review unit.
Visualize cell populations, marker candidates, and sample differences.
Organize microbial composition and group-level patterns with documented conditions.
Quantify regions, objects, morphology, and intensity in existing microscopy, cell, or pathology images.
Derive cell-level morphology profiles and phenotype differences from existing multichannel Cell Painting images.
Quantify 3D structure, volume, surface, shape, and spatial relationships in existing Z-stacks and volumetric microscopy images.
Quantify cell populations and image-derived features together from existing imaging flow cytometry data.
Review structure quality, similarity, binding sites, and molecular interactions in existing or predicted molecular structures.
Organize existing mass-spectrometry data or quantitative tables from QC through comparison and functional interpretation.
Integrate spatial coordinates, tissue images, expression, protein, and other feature layers for review.
Bring existing tables and figures into IAS for reproducibility and decision-focused review.
FIXED SPATIAL MULTI-OMICS PLAN
Un forfait complet intégrant les données spatiales, les images de microscopie et les données NGS déjà acquises sur un même échantillon. Nous normalisons les tarifs publics de projets standard et les taux d’expertise externes à périmètre équivalent ; notre tarif fixe normal reste inférieur de plus de 44 %.
PRICE POLICY
We normalized publicly listed analysis-only prices for equivalent scopes and set IAS starting prices at no more than 56% of those market references. Specimen handling, image acquisition, mass-spectrometry measurement, spatial-omics data generation, library preparation, and sequencing are excluded from both the price and service scope.
FASTQ QC, trimming, alignment or pseudoalignment, quantification, normalization, PCA, differential expression, GO and pathway analysis
per specimen; two groups with ≥3 replicates recommended
Updated to the current domestic public analysis-only rate. Differential expression is omitted when the comparison design is not valid.
QC, mapping, duplicate and coverage review, SNV/indel calling, filtering, and basic annotation for human germline WGS/WES
per specimen, basic analysis
CNV/SV, tumor-normal, family analysis, and non-model organisms are quoted as separate workflows.
FASTQ QC, mapping, duplicate/library-complexity and FRiP review, input normalization, peak calling and annotation, browser tracks
per specimen (one library), basic analysis
Motif, IDR, and differential-peak analysis require controls and replicates and are quoted separately.
FASTQ QC, host-read removal, taxonomy and composition, alpha/beta diversity, ordination, and basic functional profiling
per specimen, basic analysis
De novo assembly, MAG/binning, resistome, detailed pathways, and group statistics are separate workflows.
Primer trimming, denoising, chimera removal, ASV/OTU, taxonomy, composition, alpha/beta diversity, and ordination
per specimen in one analysis batch
This is a high-throughput batch rate. At least three biological replicates per group are recommended; sample and comparison counts are confirmed first.
Cell QC, doublet review, normalization, batch integration, PCA/UMAP, clustering, markers, and initial cell-type annotation
per specimen; standard projects start at 4 specimens
Two conditions with at least two replicates are the standard project. FASTQ primary processing, trajectory, communication, and detailed condition analysis are separate.
Image QC, background or illumination correction, ROI/object segmentation, segmentation QC, morphology/intensity quantification, basic statistics and visualization
per specimen (up to 4 standard images under one acquisition condition)
Up to four standard 2D images acquired under one condition are counted as one specimen. Cell Painting is quoted after reviewing wells, fields, channels, plates, and workflow; 3D image structural analysis is quoted after reviewing z-slices, voxels, channels, total data volume, and workflow.
Data, focus and singlet QC; compensation review; standard gating; population frequencies; morphology, intensity, texture, localization, colocalization and translocation features; representative images and basic comparisons
per specimen (one acquisition file, up to 12 standard channels)
This is analysis of existing data. Acquisition, staining, panel design, compensation-control generation, multi-file integration, high-dimensional analysis, and new classifier development are quoted separately.
Structure QC and confidence review, domains and secondary structure, reference superposition and RMSD, surfaces and pockets, residue contacts, protein–ligand or protein–protein interactions, and annotated 3D figures
per specimen (one molecule or complex; one standard structure set)
This covers an existing or predicted structure. Experimental structure determination, cryo-EM reconstruction, long molecular-dynamics runs, free-energy calculations, large virtual screens, and new model development are quoted separately.
Quantitative-table filtering and missingness review, normalization, PCA/clustering, differential proteins, FDR/multiple testing, and functional/pathway analysis
per specimen (one batch, analysis-ready quantitative table)
This is a per-specimen rate within one analysis batch. Differential proteins, FDR, and pathway analysis require a valid comparison cohort. Database search, identification, and contaminant handling from RAW/mzML are separate.
Input, metadata, spot, cell and image QC; normalization; dimension reduction; spatial domains and clustering; cell-type review; regional or condition-level RNA/protein comparison; integration with image registration or segmentation; neighborhood, colocalization, pathway and cross-modality visualization; interpretation report and walkthrough
per specimen (one spatial-omics, microscopy-image and NGS data set)
This is a full integration package for existing data from one specimen. Measurement, image acquisition, library preparation, sequencing, large-scale manual annotation, new model development, and data volume or comparisons beyond the standard scope are quoted separately.
44% OFF
For custom work not listed above, enter a pre-tax quote for an equivalent analysis-only scope.
We confirm feasibility and a safe transfer method before any data is sent.
Share the research objective, data format, sample design, and expected outputs.
Review volume, quality information, references, comparisons, and confidentiality.
Agree on steps, turnaround, deliverables, price, and retention period.
Transfer only the required data and metadata using the agreed method.
Run QC, standard analysis, visualization, and human review.
Deliver results, conditions, and limitations with an optional walkthrough.
Outputs are organized for reproducible review according to the agreed scope.
No. LifeAnalytics currently provides analysis of existing data. Extraction, library preparation, sequencing, microscopy acquisition, mass-spectrometry measurement, and spatial-omics data generation are outside scope.
Standard menus start at no more than 56% of a comparable public analysis-only price. Data volume, quality, sample design, analysis steps, and deliverables still change the workload, so we provide a formal quote after preflight review.
FASTQ, BAM/CRAM, VCF, H5AD, count matrices, CSV/TSV, TIFF, OME-TIFF, OME-Zarr or CZI 2D/3D images, Cell Painting images, analysis-ready ImageStream or equivalent data, PDB/mmCIF/SDF/MOL2 molecular structures, mzML or peptide/protein intensity tables, spatial coordinates, and tissue images can be reviewed. Feasibility depends on the objective, quality, and available references.
Yes. For existing multichannel Cell Painting images, we can provide segmentation, morphology profiling, normalization, batch-effect review, and phenotype comparison. For Z-stacks and other 3D images, we support 3D segmentation, volume, surface, shape, distance, colocalization, and 3D visualization. Image acquisition is excluded; plate maps, voxel size, channel metadata, and data volume are reviewed before a project quote.
Yes. For existing imaging flow cytometry data, we support focus and singlet QC, gating, morphology, intensity, localization, colocalization, and translocation analysis. For PDB/mmCIF and related structures, we review structure QC, superposition, pockets, residue contacts, and molecular interactions. Data acquisition and experimental structure determination are excluded.
It depends on data volume, samples, workflow, and QC. The quote states prerequisites and an estimated turnaround after preflight.
This service is research-use-only. Data that do not satisfy privacy, ethics, contract, pseudonymization, and storage requirements cannot be accepted. We do not make diagnostic or treatment decisions.
A comparison quote is not required for the first discussion. Share the format, sample count, objective, and expected outputs.
Discuss contract data analysis