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
PMCID: PMC10077662
Funding: - Australian Research Council: DP200102460
- National Health and Medical Research Council: APP11968410