SWARSH-G: Advanced Bioinformatics Analysis Service Redefined
Spatial Transcriptomics Analysis Services
We provide comprehensive spatial transcriptomics analysis to uncover tissue-specific gene expression and spatial architecture.​​
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Spatially Resolved Gene Expression Analysis
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Identification of spatially variable genes and regions.
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Mapping of cell types to spatial coordinates for tissue-specific insights.
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Cluster Analysis and Tissue Segmentation
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Unsupervised clustering to identify regions of interest within tissue sections.
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Visualization of clusters with histological overlays.
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Spatial Mapping of Gene Pathways and Markers
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Highlight specific pathways or genes of interest in spatial tissue sections.
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Integration of spatial transcriptomics with immunohistochemistry (IHC) or proteomic data.
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Multi-Omics Integration
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Combining spatial transcriptomics with single-cell RNA-seq for deeper insights.
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Integration with proteomics or ATAC-seq for multi-dimensional biological understanding.
Empowering Breakthroughs in Genomics, Transcriptomics and Proteomics
Single-Cell
Analysis Services​
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​We empower you to unlock cellular heterogeneity and rare cell populations through cutting-edge single-cell analysis.
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Principal Component Analysis (PCA), Uniform Manifold Approximation and Projection (UMAP), and t-SNE for visualization.
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Cell clustering to identify distinct populations.
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Cell Type Annotation and Rare Cell Identification
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Annotation of cell clusters based on marker genes and public databases.
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Identification and enrichment of rare cell types, such as stem cells or immune subsets.
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Trajectory and Lineage Analysis
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Pseudotime and trajectory inference.
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Lineage mapping to uncover differentiation pathways.
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Multi-Modal Single-Cell Data Integration
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Integration of RNA-seq with proteomics, ATAC-seq, or spatial data for holistic analysis.
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Generation of gene regulatory networks and pathway enrichment analysis.
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Custom AI-Powered Models
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Machine learning-based clustering and predictive modeling for specific research goals.
ATAC-Seq Analysis Services
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Our experts offer advanced ATAC-seq analysis to reveal chromatin accessibility and regulatory mechanisms.
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Principal Component Analysis (PCA), Uniform Manifold Approximation and Projection (UMAP), and t-SNE for visualization.
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Cell clustering to identify distinct populations.
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Cell Type Annotation and Rare Cell Identification
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Annotation of cell clusters based on marker genes and public databases.
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Identification and enrichment of rare cell types, such as stem cells or immune subsets.
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Trajectory and Lineage Analysis
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Pseudotime and trajectory inference.
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Lineage mapping to uncover differentiation pathways.
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Multi-Modal Single-Cell Data Integration
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Integration of RNA-seq with proteomics, ATAC-seq, or spatial data for holistic analysis.
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Generation of gene regulatory networks and pathway enrichment analysis.
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Custom AI-Powered Models
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Machine learning-based clustering and predictive modeling for specific research goals.
Welcome to SWARSH-G, Contig Bio’s premier platform for cutting-edge genomics analysis. Whether you’re exploring the spatial architecture of tissues, uncovering cellular heterogeneity, or diving into chromatin accessibility, leveraging our SWARSH-G suite, we deliver comprehensive and actionable insights tailored to your research needs. Our team has rigorously developed and optimized pipelines to analyze your advanced spatial and single-cell omics data.
"SWARSH-G: Where Machine Intelligence Meets Human Ingenuity in Genomics."
A. Spatial Transcriptomics Analysis:
​Map Gene Expression in Tissue Context: Our spatial transcriptomics service visualizes gene expression within the tissue architecture, providing insights into tissue organization and cellular interactions (for more information, please scroll down).
B. Single-Cell RNA Sequencing (scRNA-seq) Data Analysis:
Uncover Cellular Diversity: Our scRNA-seq data analytics provides a detailed view of gene expression at the single-cell level, allowing for the identification of cellular heterogeneity and key pathways (for more information, please scroll down).
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C. Single-Cell ATAC Sequencing (scATAC-seq) Data Analysis:
Uncover Cellular Diversity: Our scRNA-seq data analytics provides a detailed view of gene
expression at the single-cell level, allowing for the identification of cellular
heterogeneity and key pathways (for more information, please scroll down).
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D. Single-Cell Immune Profiling:
Comprehensive Immune Repertoire Analysis: Characterize T-cell and B-cell
receptor diversity to gain insights into immune responses in health and
disease (for more information, please scroll down).
E. Cellular Trajectory Analysis:
Track Cellular Development Pathways: Reconstruct cellular differentiation pathways during disease progression to understand the evolution of cell states (for more information, please scroll down).
F. Bulk genomics, transcriptomics and proteomics Analysis:
Not every study requires the granularity of a single-cell study. We help with bulk-level (total RNA or DNA from cell pellets or tissues) data analysis as well. Visualize natural or engineered changes in the genome, study total RNA and protein expression in a given condition, or study the effects of drug treatment. The Contig Bio team will analyze your data, present a comprehensive report including publication-quality figures for your corporate slide deck or manuscript, and help you fully understand the insights to leverage the full potential of your data.
Experience the power of SWARSH-G for your spatial transcriptomics, single-cell RNA-seq, ATAC-seq, and bulk RNA-seq analysis needs.
"Blending ML Precision with Human Insight for Next-Generation Genomics."​
OUR FLAGSHIP SERVICES
