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
即使尚未确定分析名称，也可以从数据类型和研究问题开始咨询。报价前会明确标准流程与定制范围，并确认输入、比较设计、可行性和交付物。
57项分析选择
从研究设计、QC、候选发现到功能解释，系统整理表达变化和转录调控。
主要输入格式FASTQ, BAM/CRAM, count matrices, CSV/TSV, sample sheets, reference genome and GTF/GFF
咨询此大类将测序质量、覆盖度、变异候选和注释整理为可追溯的研究审阅材料。
主要输入格式FASTQ, BAM/CRAM, VCF/gVCF, PED, phenotype tables, reference genome and annotation
咨询此大类在保留样本和空间背景的同时，可视化细胞群、标记、区域差异和邻域关系。
主要输入格式H5AD, h5, matrix/barcodes/features, CSV/TSV, spatial coordinates, tissue images, sample metadata
咨询此大类结合批次和比较设计，评估群落组成、组间差异和功能谱。
主要输入格式FASTQ, feature and taxonomy tables, FASTA, sample metadata, and existing diversity results
咨询此大类定量2D、Cell Painting、3D和成像流式数据中的形态、强度、定位和表型差异。
主要输入格式TIFF/OME-TIFF, OME-Zarr, CZI, Z-stacks, plate maps, ROIs, and analyzable ImageStream data
咨询此大类从质量、统计、功能和相互作用角度整理蛋白丰度及结构差异。
主要输入格式mzML, protein/peptide tables, PDB/mmCIF, SDF/MOL2, FASTA, and structure predictions
咨询此大类整合历史表格、图、日志和新数据，明确可重复性、条件差异及下一步验证。
主要输入格式CSV/TSV, spreadsheet exports, reports, figures, notebooks/logs, metadata, and processed modality data
咨询此大类定制项目需先确认数据质量、规模、参考信息和使用条件，再说明可行性与追加费用。不包括测量、成像采集和文库制备。
SCIENTIFIC CASE FILES
每个案例将研究问题、输入数据、分析流程、可视化结果与下一步决策连接起来，明确展示委托内容与交付成果。
10个科学案例
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.
说明用模拟数据图中的数值与模式仅用于说明分析设计，并非客户数据、临床结果或性能保证。实际方法、阈值和交付物将根据数据质量与研究目的确定。
REQUEST EXAMPLES
可从需要支持的判断出发，查看预期输入、流程和交付物。选择相近示例后，可带着结构化提示进入咨询表单。
15个委托示例
常见问题在考虑批次和生物学重复的情况下评估对照组与处理组差异。
常见问题结合input/control和重复设计，整理可重复peak及相关基因。
常见问题检查覆盖度和过滤条件，并生成包含既有候选的优先级表。
常见问题核查配对、深度和既有过滤，明确需重新分析的范围。
常见问题检查多样本质量与批次，探索随条件变化的cluster。
常见问题对齐组织图像、坐标、表达和蛋白，比较区域及邻域。
常见问题保留配对设计和批次信息，评估diversity及候选菌。
常见问题检查host reads和测序深度，整理物种及功能谱差异。
常见问题在一致成像条件下，可靠测量单细胞形态与强度。
常见问题考虑plate/well/field和批次，探索相似表型与异常值。
常见问题保留voxel信息，比较3D object的体积、表面和空间关系。
常见问题确认focus、singlet和compensation，并联合图像特征与gating。
常见问题检查缺失、批次和重复，以FDR控制筛选候选。
常见问题检查结构可信度并图示alignment、pocket和残基contact差异。
常见问题盘点ID或方法不一致的成果物，明确可比较范围。
以下为用于明确委托设计的假设示例，并非可识别的客户项目、业绩声明或特定结果保证。最终流程和交付物将在数据审阅后确定。
CONSULTATION CHECKLIST
请先只提供数据概况。在接收数据文件前，我们会确认可行性、必要metadata和安全传输方式。
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
整合同一样本既有空间组学、显微图像和NGS数据的完整分析方案。我们将公开的标准项目价格和外部专家费率按同等范围进行标准化，常规固定价比该市场参考价低44%以上。
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