Welcome to the 10x Blog
From tips and tricks to 10x news, our blog is here to help you learn about all things 10x. Let us know what topics you would like to see in the Community Suggestions forum.
In a recent publication from the Broad Institute of MIT and Harvard, researchers identified >11,000 distinct structural variations among participants with autism spectrum disorder. These results provide new insights into the extent and diversity of structural variation present in the morbid human genome.
To celebrate Women's History Month we talked to four 10x’ers about how they got into science, what they do at 10x, and how we can all promote women in science. Today, we are finding out more about Sofia Panagiotopoulou, a senior scientist on our Computational Biology team.
A key challenge across all single-cell RNA-sequencing (scRNA-seq) techniques is the preservation of each cell’s transcriptional profile throughout the entire sample handling process. Two recent publications have developed similar cryopreservation techniques that can be readily implemented into scRNA-seq workflows.
The InPSYght schizophrenia and bipolar disorder sequencing project seeks to produce Whole Genome Sequencing (WGS) data to identify variants associated with disease, build a reference panel of structural events and haplotypes to impute into large genotype data sets, and create and share data and methods with the community.
We recently had a chance to speak with Bo Wang, lead author on the new Nature Methods paper, "Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning", about the current challenges and future potential of single cell analysis.
Hear your colleagues, industry leaders and 10x scientists discuss single cell genomics, de novo assembly and how to make the most of the human genome with Linked-Reads.
The novel approach called SIMLR (single-cell interpretation via multi-kernel learning), learns appropriate cell-to-cell similarity metrics for dimension reduction and clustering of single cell RNA-seq data.
Why share our 1.3 million cell dataset? We believe the public sharing of single cell data will fuel biological discovery and enable big-data software tool development.
The new Loupe™ Cell Browser makes it easy to perform single cell analysis to identify cell populations, isolate significant genes and measure expression levels - even for million cell datasets
In a recent Nature Communications publication, researchers at the Fred Hutchinson Cancer Research Center and 10x use single cell analysis to profile Leukemia patients who had undergone bone marrow transplant.
Recently, we got to talk to Dr. Charlly Kao of CHOP about how Linked-Reads play a part in his current research, possible future applications, and why 10x technology is so exciting.
Two new publications in Cell describe a novel approach to high-throughput functional genomics enabled by the combination of single cell RNA-seq with CRISPR perturbations call Perturb-seq.
In a recently published paper, entitled “Assembly of the Complete Sitka Spruce Chloroplast Genome Using 10X Genomics’ GemCode Sequencing Data” researchers used GemCode’s novel Linked-Read data type for de novo assembly of a complete chloroplast genome.
With the power to interrogate complex systems, comes the need to analyze complex single cell datasets. 10x Genomics and the single cell research community are working hard to develop computational solutions that are approachable to both seasoned bioinformaticians and beginners alike.