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
분석명이 정해지지 않아도 데이터 종류와 연구 질문으로 상담할 수 있습니다. 견적 전에 표준·맞춤 범위, 입력, 비교 설계, 성립 조건과 산출물을 확인합니다.
57개 분석 선택지
발현 변화와 전사 조절을 연구 설계, QC, 후보 탐색 및 기능 해석까지 연결합니다.
주요 입력 형식FASTQ, BAM/CRAM, count matrices, CSV/TSV, sample sheets, reference genome and GTF/GFF
이 대분류로 상담서열 품질, coverage, 변이 후보 및 주석을 추적 가능한 연구 검토 자료로 정리합니다.
주요 입력 형식FASTQ, BAM/CRAM, VCF/gVCF, PED, phenotype tables, reference genome and annotation
이 대분류로 상담샘플과 공간 맥락을 유지하면서 세포군, marker, 영역 차이 및 이웃 관계를 시각화합니다.
주요 입력 형식H5AD, h5, matrix/barcodes/features, CSV/TSV, spatial coordinates, tissue images, sample metadata
이 대분류로 상담배치와 비교 설계를 명확히 하여 군집 구성, 그룹 차이 및 기능 profile을 평가합니다.
주요 입력 형식FASTQ, feature and taxonomy tables, FASTA, sample metadata, and existing diversity results
이 대분류로 상담2D, Cell Painting, 3D 및 imaging-flow 데이터의 형태, 강도, 위치와 표현형 차이를 정량화합니다.
주요 입력 형식TIFF/OME-TIFF, OME-Zarr, CZI, Z-stacks, plate maps, ROIs, and analyzable ImageStream data
이 대분류로 상담품질, 통계, 기능 및 상호작용 관점에서 단백질 양과 구조 차이를 검토합니다.
주요 입력 형식mzML, protein/peptide tables, PDB/mmCIF, SDF/MOL2, FASTA, and structure predictions
이 대분류로 상담과거 표, 그림, 로그와 신규 데이터를 통합해 재현성, 조건 차이와 다음 검증 단계를 명확히 합니다.
주요 입력 형식CSV/TSV, spreadsheet exports, reports, figures, notebooks/logs, metadata, and processed modality data
이 대분류로 상담맞춤 항목은 데이터 품질, 규모, reference 및 이용 조건을 먼저 검토한 후 가능 여부와 추가 비용을 안내합니다. 측정, 촬영 및 library preparation은 포함되지 않습니다.
SCIENTIFIC CASE FILES
연구 질문, 입력 데이터, 분석 과정, 시각화 결과와 다음 의사결정을 연결해 무엇을 의뢰하고 무엇을 받는지 보여줍니다.
10개 과학 사례
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.
설명용 시뮬레이션도표의 수치와 패턴은 분석 설계를 설명하기 위한 모의 데이터이며 고객 데이터, 임상 결과 또는 성능 보증이 아닙니다. 실제 방법과 기준은 데이터 품질 및 연구 목적에 맞춰 합의합니다.
REQUEST EXAMPLES
필요한 판단에서 시작해 예상 입력, 분석 과정과 산출물을 확인할 수 있습니다. 유사 예시를 선택하면 구조화된 문구가 상담 폼에 입력됩니다.
15개 의뢰 예시
자주 있는 과제배치와 생물학적 반복을 고려해 대조군과 처리군 차이를 평가합니다.
자주 있는 과제input/control과 반복 설계를 반영해 재현되는 peak와 관련 유전자를 정리합니다.
자주 있는 과제coverage와 filter를 점검하고 기존 후보를 포함한 우선순위 표를 만듭니다.
자주 있는 과제pairing, depth와 기존 filter를 감사해 재분석 범위를 정합니다.
자주 있는 과제여러 샘플의 품질과 batch를 확인하고 조건별 cluster 변화를 탐색합니다.
자주 있는 과제조직 이미지, 좌표, 발현과 단백질을 정렬해 영역 및 이웃을 비교합니다.
자주 있는 과제paired design과 batch를 유지하며 diversity와 후보 균을 평가합니다.
자주 있는 과제host reads와 depth를 확인하고 균종 및 기능 profile 차이를 정리합니다.
자주 있는 과제동일 촬영 조건에서 세포 단위 형태와 강도를 재현 가능하게 측정합니다.
자주 있는 과제plate/well/field와 batch를 고려해 유사 표현형과 이상치를 탐색합니다.
자주 있는 과제voxel 정보를 유지하며 3D object의 체적, 표면 및 공간 관계를 비교합니다.
자주 있는 과제focus, singlet, compensation을 확인하고 이미지 feature와 gating을 결합합니다.
자주 있는 과제결측, batch와 반복을 확인하고 FDR을 반영해 후보를 선별합니다.
자주 있는 과제구조 신뢰도를 확인하고 alignment, pocket 및 residue contact 차이를 시각화합니다.
자주 있는 과제ID 또는 방법이 다른 산출물을 정리하고 비교 가능한 범위를 명확히 합니다.
아래 내용은 의뢰 설계를 구체화하기 위한 가상 예시이며 식별 가능한 고객 프로젝트, 성과 주장 또는 특정 결과의 보장이 아닙니다. 최종 과정과 산출물은 데이터 검토 후 합의합니다.
CONSULTATION CHECKLIST
먼저 데이터 개요만 공유하세요. 파일을 받기 전에 성립 가능성, 필요한 metadata와 안전한 전송 방법을 확인합니다.
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
동일 검체에서 이미 취득한 공간 오믹스, 현미경 이미지 및 NGS 데이터를 통합하는 전체 분석 플랜입니다. 공개된 표준 프로젝트 가격과 외부 전문 분석 요율을 동등 범위로 표준화했으며, 일반 고정가도 시장 기준가보다 44% 이상 낮습니다.
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