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

Customer Datasets

Explore datasets covering various applications and sample types.

  • WT
  • Brain Nuclei

Insights from Amygdala Subnuclei in Rhesus Monkeys and Humans

"With Evercode we get single cell transcriptional data at the scale we need."

-Shawn Kamboj, University of California, Davis
  • WT Mini
  • Solid Tumor

Uncovering Glioblastoma Heterogeneity in Solid Tumor and Tumor-derived in vitro Models

"We obtained an unprecedented number of genes per cell."

-Zac Moore, Walter and Eliza Hall Institute of Medical Research
  • WT
  • Cancer Cells

Transcriptomic Analysis of a Chemotherapy Resistant Cancer Cell State

"Single cell resolution is vital to capturing the complexity of cancer but droplet-based methods are unreliable for morphologically large cells."

-Luke Loftus, Johns Hopkins School of Medicine
-Chris Cherry, CM Cherry Consulting
  • WT
  • WT Mini
  • +1

Uncovering Spatial Intra-Tumoral Heterogeneity of Malignant and Immune Cells in Glioblastoma

"A powerful assay to explore complex tumor microenvironments."

-Federico Gaiti, Assistant Professor, Princess Margaret Cancer Centre
  • WT Mini
  • Human IPSCs

Transcriptional Analysis of Parkinson’s Disease Using Patient-derived Cells

"We fix samples when they are ready, putting us in charge of our experimental timing."

-Taylor Goldsmith, Early Drug Discovery Unit, Neuro-McGill University
  • WT Mini
  • Salmon Liver

Single-nuclei transcriptomics highlights the lasting impact of embryonic temperature on Atlantic salmon

"A striking breadth of cell types were identified with high gene counts"

-Carl Milton, Roslin Institute, Edinburgh University
  • WT
  • Mouse Brain

Identifying distinct cellular programs from single cell datasets using Topyfic

"Using large datasets like the ones generated by Parse, was important for identifying as many different ‘topics’ as possible."

-Narges Rezaie, Doctoral Candidate, University of California, Irvine