correct_bacode
correct_bacode corrects sequencing errors in cell barcodes from Quartz-Seq2 single-cell RNA-sequencing data to ensure accurate unique molecular identifier (UMI) assignment and reliable per-cell gene expression quantification.
Key Features:
- Error Correction: Identifies and corrects sequencing errors in DNA sequences associated with cell barcoding, including errors arising during reverse transcription primer usage.
- Integration with Quartz-Seq2: Specifically tailored for processing cell-barcode and UMI data produced by Quartz-Seq2 single-cell RNA-seq workflows.
- Enhanced Data Quality: Improves accuracy of UMI-to-transcript linkage and per-cell gene expression profiles, supporting downstream analyses such as differential expression and cellular heterogeneity assessment.
Scientific Applications:
- Single-Cell Transcriptomics: Refines barcode and UMI assignments in high-throughput single-cell RNA-seq experiments, including datasets with thousands of transcriptomes, to improve data fidelity.
- Gene Expression Analysis: Supports accurate quantification of transcripts per cell by ensuring correct UMI assignment for downstream gene expression studies.
Methodology:
Analyzes sequencing reads to identify discrepancies in cell-barcode DNA sequences introduced during reverse transcription primer-based cDNA synthesis and corrects barcode sequences to ensure UMIs are accurately linked to their corresponding gene expression values.
Topics
Details
- License:
- MIT
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- R, Python
- Added:
- 8/15/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Sasagawa Y, Danno H, Takada H, Ebisawa M, Tanaka K, Hayashi T, Kurisaki A, Nikaido I. Quartz-Seq2: a high-throughput single-cell RNA-sequencing method that effectively uses limited sequence reads. Genome Biology. 2018;19(1). doi:10.1186/s13059-018-1407-3. PMID:29523163. PMCID:PMC5845169.