The Chromium™ Exome Solution

Reach Beyond the Standard Exome

The Chromium Exome provides long range information, enabling phasing, structural variant detection and copy number determination. Low complexity and repetitive regions previously missed with short-read sequencing are now accessible.

The 10X Exome Solution Features:

  • High-quality libraries from only 1 ng of genomic DNA
  • Detect large scale structural variants (SVs) including gene fusions
  • Call and phase variants across the entire exome
  • Detect variants in genes inaccessible to standard short-read libraries
  • Useful for high sequence homology, including problematic duplications, inversions and pseudogenes
  • Optimized baits utilize Linked-Reads for intron-spanning

page-single-cell-controller-pictureThe Chromium™ Controller

Compact, sleek, efficient.

The compact, sleek Chromium™ Controller has been designed to rapidly and efficiently automate the equivalent of 100,000s to 1,000,000s of pipetting steps for highly parallel sample partitioning and molecular barcoding. The Chromium Controller allows a user to run any of our Chromium Single Cell 3′, Genome and Exome Solutions. A dedicated Chromium Single Cell Controller is also available for users that exclusively run our Chromium Single Cell 3′ Solution.


Chromium™ Genome v2 Library Kit & Gel Bead Kit

The Chromium Controller now supports our new Chromium Genome Reagent Kits with v2 chemistry, with the following refinements:

  • Chromium Genome Library Kit & Gel Bead Kit v2 comes in 16 and 96-reaction (HT) configurations, offering a flexible workflow that can be scaled based on the needs of each user
  • The Chromium Genome HT Library Kit & Gel Bead Kit v2 can be automated on industry standard liquid handlers and has a significant cost advantage per sample


  • Chromium Genome HT Library Kit & Gel Bead Kit v2, 96-reactions
  • Chromium Genome Library Kit & Gel Bead Kit v2, 16-reactions
  • Chromium Genome Chip Kit v2, 48-reactions

Purchase Separately:

  • Chromium i7 Multiplex Kit, 96-reactions


The Chromium™ Software Suite

A complete package for analyzing and visualizing the Linked-Read sequencing data type produced by the 10x Chromium Platform.

Long Ranger™: Pipelines

A set of analysis pipelines that perform sample demultiplexing, barcode processing, alignment, quality control, variant calling, phasing, and structural variant calling.

Loupe™ Genome Browser: Visualization

A haplotype-enabled genome browser and structural variant visualizer.


Scientific Seminars

Linked-Reads for improved genomics

Sarah Garcia
10x Genomics, Inc.
November 10, 2016
AMP Annual Meeting – Charlotte, NC

Exploring 50 whole genomes with Chromium™ Linked-Reads

Chris Whelan
Broad Institute
October 21, 2016
ASHG Annual Meeting – Vancouver, BC

Resolving short reads and distinguishing variants in PMS2

Charlly Kao
Children’s Hospital of Philadelphia
October 20, 2016
ASHG Annual Meeting – Vancouver, BC

Improving genome analysis with Linked-Reads

Deanna Church
10x Genomics, Inc.
August 15, 2016
Pleasanton, CA

Resolving the “dark matter” of the exome

Hakon Hakonarson
Children’s Hospital of Philadelphia
June 02, 2016
Nature Webcast


Universal haplotype-based noninvasive prenatal testing for single gene diseases

Hui WW et al. Clin Chem. 2016 Dec 8; Epub ahead of print. doi: 10.1373/clinchem.2016.268375. PMID: 27932412.

Genome-wide reconstruction of complex structural variants using read clouds

Spies N et al. 2016 Sept 10; Pre-print*.

Extensive sequencing of seven human genomes to characterize benchmark reference materials

Zook JM et al. Sci Data. 2016 Jun 7;3:160025. doi: 10.1038/sdata.2016.25. PMID: 27271295.

Health and population effects of rare gene knockouts in adult humans with related parents

Narasimhan VM et al. Science. 2016 Apr 22;352(6284):474-7. doi: 10.1126/science.aac8624. PMID: 26940866.

Haplotyping germline and cancer genomes with high-throughput linked-read sequencing

Zheng GX et al. Nat Biotechnol. 2016 Mar;34(3):303-11. doi: 10.1038/nbt.3432. PMID: 26829319.

Haplotypes drop by drop

Kitzman JO. Nat Biotechnol. 2016 Mar;34(3):296-8. doi: 10.1038/nbt.3500. PMID: 26963554.

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