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The industry-standard pipeline for single-cell multiomics processing and analysis.

Cell Ranger is a suite of high-performance data processing pipelines developed by 10x Genomics, specifically designed to process Chromium single-cell data. As of 2026, it remains the architectural backbone for single-cell transcriptomics, enabling researchers to transform raw sequencing data (BCL or FASTQ files) into actionable biological insights. The toolset utilizes the STAR aligner for mapping reads to genomes and employs sophisticated algorithms for Unique Molecular Identifier (UMI) counting, cell barcode identification, and noise reduction. Its 2026 positioning emphasizes multi-modal integration, seamlessly handling simultaneous gene expression, cell surface protein quantification, and CRISPR perturbation data. While proprietary, it is provided free of charge to the research community to support the 10x Genomics ecosystem. The software is optimized for Linux-based HPC environments and cloud infrastructures, ensuring scalability for studies involving millions of individual cells. Cell Ranger also produces standardized file formats that serve as the primary input for downstream analysis in R (Seurat) and Python (Scanpy), maintaining its status as the most cited and trusted pipeline in single-cell biology.
Cell Ranger is a suite of high-performance data processing pipelines developed by 10x Genomics, specifically designed to process Chromium single-cell data.
Explore all tools that specialize in single-cell rna-seq. This domain focus ensures Cell Ranger delivers optimized results for this specific requirement.
Embedded STAR (Spliced Transcripts Alignment to a Reference) engine for rapid and accurate read mapping.
Advanced statistical algorithm to distinguish between real cells and ambient RNA background.
Simultaneous processing of Gene Expression (GEX), Antibody Capture (ADTs), and CRISPR guides.
Automated PCA, t-SNE, UMAP, and Graph-based clustering performed immediately post-quantification.
Algorithms designed to handle enriched panels for specific genes or pathways.
De novo assembly of full-length V(D)J sequences for T and B cell receptors.
Seamless integration with 10x Genomics Cloud Analysis for serverless execution.
Verify Linux environment compatibility (Ubuntu 20.04+, CentOS 7+).
Ensure hardware meets minimum requirements (64GB RAM, 8+ Cores).
Download the Cell Ranger tarball from the 10x Genomics support portal.
Unpack the software package and add the binary directory to the system PATH.
Download pre-built reference genomes (e.g., GRCh38 or mm10) or build custom ones using 'cellranger mkref'.
Run 'cellranger sitecheck' to validate system configuration and resource allocation.
Convert raw Illumina BCL files to FASTQ format using 'cellranger mkfastq'.
Execute 'cellranger count' or 'cellranger multi' for primary data processing.
Inspect the 'web_summary.html' output for quality control metrics and cell calling accuracy.
Import the generated .cloupe file into Loupe Browser for interactive visualization.
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Verified feedback from other users.
"Widely regarded as the 'gold standard' for single-cell processing. Users praise its reproducibility and the quality of HTML reports, though some cite high RAM requirements as a barrier."
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