#-supreme-cellcarta-differentiators-15-144{items-data:[{"text":"Expert Bioinformatics "},{"text":"Proprietary ML Pipelines "},{"text":"Full-Modality Coverage "},{"text":"Reproducible Pipelines"},{"text":"Regulatory-Grade QC"}]}#-supreme-cellcarta-faq-13-144{items-data:[{"faq_question":"What types of genomic data analysis does CellCarta support? ","faq_answer":"CellCarta's genomic data analysis services support every major sequencing and molecular modality used in translational and clinical programs:RNA-seq,whole genome and whole exome sequencing,quantitative and digital PCR,single-cell sequencing,spatial biology,and validated off-the-shelf assays,including TSO500,oncoReveal CDx,and Aspyre Lung. Each modality is delivered by an in-house bioinformatics team that applies rigorous QC,transparent pipelines,and advanced methods,including machine-learning–based biomarker quantification. "},{"faq_question":"What gene expression analysis capabilities does CellCarta offer for clinical biomarker programs? ","faq_answer":"CellCarta's gene expression analysis services capabilities cover RNA-seq and NanoString nCounter workflows for biomarker discovery,validation,and clinical deployment. RNA-seq pipelines include read alignment,transcript quantification,splice variant and fusion detection,tumor immune cell fraction analysis,and proprietary ML-based eTMB and eMSI quantification. NanoString workflows include background correction,normalization,batch effect control,differential gene expression,and pathway enrichment — supporting biomarker programs from translational research through late-stage clinical trials. "},{"faq_question":"Can CellCarta integrate genomic findings with other biomarker modalities,such as immunology or spatial biology? ","faq_answer":"Yes — and this is one of the clearest advantages of working with CellCarta. Our genomic data analysis services operate within an integrated multi-omic infrastructure rather than as a standalone genomics offering. Genomic findings can be correlated with immune monitoring,flow cytometry,spatial biology,histopathology,and proteomics data,all generated under a single quality framework. For complex clinical programs where cross-modal biomarker correlation drives the science,this removes the integration burden sponsors typically carry across multiple vendors."},{"faq_question":"Can CellCarta's genomic data analysis support regulatory submissions? ","faq_answer":"Yes. CellCarta's genomic data analysis services operate within a fully governed quality management system spanning GLP,CLIA,CAP,ISO 15189,and ISO 13485. Pipelines and outputs are built to support both exploratory research and regulated submissions — including primary endpoints,IVD performance studies,and companion diagnostic programs — and every output is produced under the same quality framework across our global sites."}]}#-supreme-cellcarta-featured-resources-16-144{cards-data:[{"image_url":"\/wp-content\/uploads\/2026\/05\/webinar.jpg","card_type":"Webinar","date":"Feb 12","reading_time":"Reading Time - 5 minutes","title":"Resources Title Goes Here","description":"Lorem ipsum dolor sit amet,consectetuer adipiscing elit. Aenean commodo ligula eget dolor.","url":"#"},{"image_url":"\/wp-content\/uploads\/2026\/05\/webinar-2.jpg","card_type":"Webinar","date":"Feb 12","reading_time":"Reading Time - 5 minutes","title":"Resources Title Goes Here","description":"Lorem ipsum dolor sit amet,consectetuer adipiscing elit. Aenean commodo ligula eget dolor.","url":"#"},{"image_url":"\/wp-content\/uploads\/2026\/05\/webinar-3.jpg","card_type":"Webinar","date":"Feb 12","reading_time":"Reading Time - 5 minutes","title":"Resources Title Goes Here","description":"Lorem ipsum dolor sit amet,consectetuer adipiscing elit. Aenean commodo ligula eget dolor.","url":"#"}]}#-supreme-cellcarta-service-blocks-45-176{blocks-data:[{"image":"https://cellcarta.com/wp-content/uploads/2026/07/CellCarta-808-scaled.jpg","image_alt":"","title":"Next-Generation Sequencing Services","description":"Precise,high-throughput analysis of genetic material with both speed and scalability. ","button_text":"Discover","button_url":"/capabilities/genomics/sequencing-services/ngs/","button_target":"_self"},{"image":"https://cellcarta.com/wp-content/uploads/2026/07/CellCarta-525-1-scaled.jpg","image_alt":"","title":"Digital PCR (dPCR)","description":"Nucleic acid quantification with superior accuracy,precision,and sensitivity. ","button_text":"Discover","button_url":"/capabilities/genomics/digital-pcr-services/","button_target":"_self"},{"image":"https://cellcarta.com/wp-content/uploads/2026/07/CellCarta_-23-2-1-scaled.jpg","image_alt":"","title":"Quantitative PCR (qPCR) ","description":"Support for qPCR applications using off-the-shelf assays or custom,validated primers. ","button_text":"​Explore qPCR","button_url":"/capabilities/genomics/qpcr-services/","button_target":"_self"}];items-data:[{"text":"Expert Bioinformatics "},{"text":"Proprietary ML Pipelines "},{"text":"Full-Modality Coverage "},{"text":"Reproducible Pipelines"},{"text":"Regulatory-Grade QC"}];oxy-supreme-cellcarta-service-blocks-items-data:[{"text":"Expert Bioinformatics "},{"text":"Proprietary ML Pipelines "},{"text":"Full-Modality Coverage "},{"text":"Reproducible Pipelines"},{"text":"Regulatory-Grade QC"}]}#-supreme-cellcarta-tab-content-11-144{tabs-data:[{"tab_title":"Gene Expression","content_title":"","content_body":"

Profile transcriptomes using gene expression analysis software for RNAseq and NanoString nCounter®. RNA-seq pipelines cover read alignment,transcript quantification,splice variant and fusion detection,tumor immune cell fractions,and proprietary ML-based eTMB and eMSI quantification.

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NanoString workflows include background correction,normalization,batch effect control,DGE,and pathway enrichment analysis.

","tab_image":"https://cellcarta.com/wp-content/uploads/2026/06/Gene-Expression-tab-488.jpg","image_alt":""},{"tab_title":"Quantitative and Digital PCR Dataset ","content_title":"","content_body":"

Generate validated,auditable outputs for CAR-T development,viral vector quantification,and genome editing programs within CellCarta's genomic data analysis software infrastructure.

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Quantitative PCR (qPCR) workflows use peer-reviewed models for efficiency correction,error propagation,and inter-run calibration across large sample sets. Digital PCR (dPCR) applies generalized mixed linear models for linearity and accuracy testing,delivering auditable outputs for CAR-T,viral vector quantification,and genome editing programs.

","tab_image":"https://cellcarta.com/wp-content/uploads/2026/06/PCR-Dataset-tab-538.jpg","image_alt":""},{"tab_title":"Whole Genome and Whole Exome Sequencing ","content_title":"","content_body":"

Detect variants across the full genome or coding regions with pipelines built for clinical-grade reporting. WGS by next-generation sequencing covers coding and non-coding variants,SVs,CNVs,mitochondrial variants,and repeat expansions.

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WES captures over 95% of disease-associated variants with SNV,indel,CNV,MSI,and TMB analysis in tumor-only or paired tumor/normal settings across oncology,rare disease,and pharmacogenomics.

","tab_image":"https://cellcarta.com/wp-content/uploads/2026/07/CellCarta-802-scaled.jpg","image_alt":""},{"tab_title":"Off-the-Shelf Assays ","content_title":"","content_body":"

We run validated workflows for TSO500 HT,TSO500 ctDNA v2,oncoReveal®CDx,Aspyre®Lung,and HLA genotyping.

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Each runs on its optimized platform —Illumina Connected Analytics,Pillar's RUO Suite and IVD Workstation,or Aspyre Lab —with automated QC,variant calling,annotation,and biomarker computation. ctDNA v2 detects variants at allele frequencies as low as 0.5% for MRD assessment and longitudinal monitoring.

","tab_image":"https://cellcarta.com/wp-content/uploads/2026/06/Off-the-Shelf-Assays-tab-521.jpg","image_alt":""},{"tab_title":"Single-Cell Sequencing Analysis ","content_title":"","content_body":"

Resolve cellular heterogeneity and immune repertoire dynamics using the 10x Genomics Chromium platform and Cell Ranger software.

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The pipeline supports 5' gene expression,V(D)J,and feature barcode libraries through alignment,clustering,cell-type annotation,trajectory inference,and pathway enrichment. CellEngine extends this with flow cytometry-style visualization,tSNE/UMAP gating,and multi-patient secondary analysis.

","tab_image":"https://cellcarta.com/wp-content/uploads/2026/06/Single-Cell-Sequencing-Analysis-tab-541.jpg","image_alt":""},{"tab_title":"Spatial Biology Datasets ","content_title":"","content_body":"

Map gene expression in tissue context using genomic data analysis software across our spatial platforms,including GeoMx and Visium HD . GeoMx pipelines include ROI selection,QC,and digital pathology integration.

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Visium HD uses Space Ranger for spatial alignment,normalization,clustering,and domain detection. Advanced capabilities include batch correction,cell type deconvolution using reference atlases,and gene signature enrichment.

","tab_image":"https://cellcarta.com/wp-content/uploads/2026/07/GeoMX-DSP.png","image_alt":""},{"tab_title":"Multi-modal Analysis ","content_title":"","content_body":"

Combine your datasets across several fields using our in-house multi-omic analysis capabilities,enabling a more in-depth understanding of your study’s complex biological questions.

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Our data analysis pipeline combines RNA sequencing data with spatial transcriptomic analysis and spatial proteomics,enabling multidimensional tumor profiling.

","tab_image":"https://cellcarta.com/wp-content/uploads/2026/06/Multi-modal-Analysis-tab-305.jpg","image_alt":""}]}