BLAZE

BLAZE identifies 10x cell barcodes from Oxford Nanopore long-read single-cell RNA sequencing (scRNA-seq) data to enable cell-resolved RNA isoform analysis.


Key Features:

  • Independence from Short-Read Data: Operates solely on Oxford Nanopore long-read scRNA-seq reads and does not require matched short-read sequencing.
  • Accuracy and Efficiency: Produces an accurate representation of cells present in long-read scRNA-seq datasets and demonstrates superior performance compared to existing methods.
  • Compatibility with Downstream Tools: Outputs a cell barcode file that is compatible with downstream bioinformatics tools and analysis pipelines.

Scientific Applications:

  • Isoform-level Single-Cell Analysis: Enables quantification of RNA isoforms at single-cell resolution using long-read sequencing.
  • Cellular Heterogeneity and Transcriptomics: Facilitates analysis of cellular heterogeneity and gene expression dynamics in single-cell transcriptomics studies.

Methodology:

Analyzes Oxford Nanopore long-read scRNA-seq reads to locate and identify 10x cell barcodes without relying on matched short-read data.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
10/15/2023
Last Updated:
11/24/2024

Operations

Publications

You Y, Prawer YDJ, De Paoli-Iseppi R, Hunt CPJ, Parish CL, Shim H, Clark MB. Identification of cell barcodes from long-read single-cell RNA-seq with BLAZE. Genome Biology. 2023;24(1). doi:10.1186/s13059-023-02907-y. PMID:37024980. PMCID:PMC10077662.

PMID: 37024980
Funding: - Australian Research Council: DP200102460 - National Health and Medical Research Council: APP11968410