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A platform optimized for large-scale single-cell analysis

Designed to unify

in one environment

Handles 10M+ cells with integrated annotation, downstream analyses, plus advanced multimodal and clinical modules, including cancer cell prediction.

Why BBrowserX Pro

Built for the demands

of giga-scale single-cell studies

Ingest, integrate, annotate, and run downstream analyses in one continuous flow within a single workspace.

Scale

Handles giga-scale studies exceeding 10M cells while staying responsive.

Workflow

Keeps ingestion, integration, annotation, and analyses in a single shared workspace.

Depth

Advanced modules for multimodal data and clinical applications (e.g., cancer cell prediction).

How BBrowserX Pro Empowers Your Research

Automated Cell Type Annotation

Differential Gene Expression (DGE)

Pathway Enrichment Analysis

Cell-Cell Communication Analysis

Pseudotime/Trajectory Analysis

Cancer Cell Prediction

Automated Cell Type Annotation

Differential Gene Expression (DGE)

Pathway Enrichment Analysis

Cell-Cell Communication Analysis

Pseudotime/Trajectory Analysis

Cancer Cell Prediction

Automated Cell Type Annotation

Save significant manual effort and time by streamlining the identification of diverse cell populations (e.g., B cells, CD4+ T cells, CD8+ T cells, Monocytes, NK cells, Erythroid cells) with high precision.

Differential Gene Expression (DGE)

Pinpoint key genes and biomarkers involved in specific biological processes, disease states, or responses to treatment, providing crucial targets for further investigation.

Pathway Enrichment Analysis

Understand the functional implications of gene expression changes by identifying activated or suppressed biological pathways.

Cell-Cell Communication Analysis

Gain critical insights into how cells communicate within a tissue or system, revealing key signaling axes that regulate cellular functions, immune responses, and disease pathogenesis.

Pseudotime/Trajectory Analysis

Uncover dynamic biological processes, such as cell differentiation, immune cell activation, or disease progression, by tracking gene expression changes across predicted cell states.

Cancer Cell Prediction

Precise identification and localization of cancerous cells within complex tissue samples, supporting cancer diagnostics, therapeutic development, and understanding tumor microenvironments.

See BBrowserX Pro In Action

Trusted by researchers working with single-cell data

Ryan Lingerak

PhD Candidate CWRU, Bingcheng Wang Lab

“I originally learned single-cell analysis in R, but BBrowserX Pro has completely changed how I work. It makes interpreting data more intuitive and generates insightful visualizations with ease. It’s perfect for both learning and research.”

Motoko Kimura

Professor, Chiba University

BBrowserX Pro is an outstanding tool for single-cell transcriptome and TCR repertoire analysis. It’s fast, easy to use—even for beginners—and the technical support team has been incredibly responsive. It’s now a core part of our lab’s workflow.

Slava Furtak

Argentys Informatics

“BioTuring BBrowserX Pro delivers high-quality t-SNE visualizations for analyzing single-cell RNA-seq data from platforms such as 10x Genomics and Parse. The software also streamlines the process of uploading and analyzing published datasets from NCBI. Users benefit from highly responsive and proactive customer support. Overall, the BioTuring platform is a strong choice for scientists seeking fast and efficient single-cell data analysis.”

See your single-cell study running in BBrowserX Pro

From ingestion to cell type prediction and downstream analyses, all in one place for studies up to giga-scale