Company

Technology

Discover scalable, instrument-free single cell sequencing technology from Parse Bioscience

Technology Overview


Resources

Explore our collection of resources to learn more about technology and its applications from leading researchers

Resources Overview

Company

Providing researchers single cell sequencing with unprecedented scale and ease

About Parse

Technology

Discover scalable, instrument-free single cell sequencing technology from Parse Bioscience

Technology Overview

Webinars

Watch past webinars on Evercode™ technology and its applications.

  • WT

High Sensitivity Single Cell RNA Sequencing with Evercode Whole Transcriptome v2

Single cell RNA sequencing has become a core tool for researchers to understand biology. As scRNA-seq has become more ubiquitous, many applications demand higher scalability and sensitivity. To meet this need, we developed the Evercode Whole Transcriptome v2 solution, a combinatorial barcoding workflow for scRNA-seq with dramatically improved sensitivity, robustness, and unbiased gene expression.

    Mapping and Modeling the Genomic Basis of Differential RNA Isoform Expression at Single-cell Resolution

    In this informative webinar recording, Elisabeth Rebboah, UC Irvine, discusses overcoming these obstacles to perform differential RNA isoform expression at single-cell resolution using the split pool combinatorial barcoding protocol from Parse Biosciences along with a combination of short read sequencing to characterize cell types and long read sequencing to reveal full-length isoforms.

    • WT

    Single Cell RNA-Seq on the Frontlines: High Multiplex and Time-course Experiments Expand Utility

    Experimental designs are growing alongside the increased throughput requirements of single-cell RNA-Seq assays. Replicates, disease states, and time-course designs dramatically increase the number of samples and the burden of information gleaned from a single experiment. Alongside these considerations is a substantial increase in the implications of the results. Our speakers discuss the ramifications of higher-order studies on needs for data quality, throughput attenuation, and sample longevity.

    • +2

    Scaling Your scRNA-Seq Experiments with Parse Biosciences’ Evercode

    The average number of cells profiled in single cell RNA sequencing (scRNA-Seq) experiments has doubled each year since 2015. Yet traditional scRNA-Seq technologies have not scaled well nor do they provide straightforward implementation. Join us for a webinar with Parse Biosciences CTO, Charlie Roco. In it, he describes how straightforward it is to get started and scale with Parse’s combinatorial barcoding technology, Evercode.

    • +2

    Scaling Your scRNA-Seq Experiments with Parse Biosciences’ Evercode

    The average number of cells profiled in single cell RNA sequencing (scRNA-Seq) experiments has doubled each year since 2015. Yet traditional scRNA-Seq technologies have not scaled well nor do they provide straightforward implementation. Join us for a webinar with Parse Biosciences CTO, Charlie Roco. In it, he describes how straightforward it is to get started and scale with Parse’s combinatorial barcoding technology, Evercode.

    • WT

    High Sensitivity Single Cell RNA Sequencing with Evercode Whole Transcriptome v2

    Single cell RNA sequencing has become a core tool for researchers to understand biology. As scRNA-seq has become more ubiquitous, many applications demand higher scalability and sensitivity. To meet this need, we developed the Evercode Whole Transcriptome v2 solution, a combinatorial barcoding workflow for scRNA-seq with dramatically improved sensitivity, robustness, and unbiased gene expression.