For researchers

Whole genome sequencing

Inocras is specialized in whole genome sequencing data generation and analysis.

• Whole genome de novo sequencing:
  • Our de novo sequencing accurately characterizes any species without a reference sequence available for alignment.
• Whole genome re-sequencing:
  • Provide a comprehensive analysis of the genome, including SNVs, insertions & deletions, CNVs, and SVs
  • Discover candidate genes associated with disease and drug response, enabling personalized precision medicine

Sequencing platform: NovaSeq 6000, Illumina

Library prep: Alloseq T9x, CareDx for HLA Typing, SMART-Seq Human TCR/BCR, TAKARA for TCR/BCR

Epigenetics & immune profiling

Get accurate and cost-effective immune profiling performed by experienced scientists and technicians committed to quality outcomes.

• Human leukocyte antigen (HLA) typing:
  • Accurate and cost-effective HLA typing with our NGS-based approach, performed by experienced scientists and technicians committed to quality outcomes. Trust us to meet your program requirements with fast, reliable results.
• Chromatin-immunoprecipitation (ChiP) sequencing:
  • Unlock insights into protein-DNA interactions and histone modifications across the genome with our ChiP-Seq services. Benefit from our expertise in ChiP assays, sonication optimization, and bioinformatics, and obtain high-quality data for your research.
• TCR/BCR bulk sequencing:
  • Our repertoire sequencing services use NGS technology to accurately detect and analyze T and B cell repertoires for both bulk and single-cell analysis. Gain insights into the immune system’s fundamental processes in healthy individuals and uncover mechanisms behind autoimmune diseases, allergies, cancer, and aging.

Whole transcriptome analysis

Accelerate your scientific discoveries with mRNA and total RNA sequencing utilizing NGS technology. We also offer detection of novel transcriptomes, fusion genes, alternative splicing, and mutations.

With our service, you can:

• Gain precise and sensitive measurement of gene expression levels across transcriptomes
• Detect changes caused by disease, treatment response, and environmental factors
• Get a comprehensive view of gene regulation and expression control for research in biomarker development, disease diagnosis, and monitoring

Single-cell services

Achieve the highest-quality data with the NovaSeq 6000 Sequencing System and latest Illumina technologies to analyze your samples at a single-cell level. Services include:

• Single-cell RNA-sequencing (scRNA-seq):
  • Our scRNA-seq services use NGS technology to analyze gene expression in individual cells, enabling the study of complex cell processes and the identification of cellular heterogeneity and rare cell populations. Unlike bulk RNA sequencing, which provides average values by combining various cells, ScRNA-seq separates a group of cells into single cells for analysis. This approach is particularly valuable for investigating live tissues, which are composed of diverse cell types with unique functions and heterogeneity between subpopulations of cells.
• Single-nucleus RNA-sequencing (snRNA-seq):
  • Our single cell nucleus RNA sequencing technology overcomes limitations in analyzing sensitive cells that are easily damaged or difficult to separate. By analyzing the transcriptome of a single nucleus, this method eliminates stress and bias that may occur during single-cell separation. Unlike scRNA-seq, which works best with fresh tissue samples, single cell nucleus RNA sequencing allows for analysis of frozen samples and transcription from tissues that are difficult to separate.
• Single-cell immune profiling (TCRs, BCRs):
  • Our single cell immune profiling services utilize VDJ and VJ gene sequencing to analyze the diversity of clonotypes at the single-cell level, allowing for precise immune profiling of T cell receptors and B cell receptors.
• Single-cell ATAC-sequencing:
  • Our single cell ATAC sequencing technique uses transposase to assess genome-wide chromatin accessibility by inserting sequencing adapters into open chromatin regions. This approach analyzes the DNA release information in a single nucleus while mapping binding sites of transcription factors and nucleosome locations. By identifying cell-specific binding sites and activity of transcription factors, researchers can gain insights into cell-specific functions when analyzing a single cell.