HiTEC
HiTEC corrects sequencing errors in high-throughput sequencing (HTS) data to improve the accuracy of downstream genomic analyses.
Key Features:
- High Accuracy: Provides superior read-level error correction accuracy compared to existing error-correction algorithms.
- Fully Automated Process: Operates without manual intervention or parameter tuning.
- Adaptability: Supports varying read lengths, genome sizes, and coverage levels.
- Efficiency: Optimized for time- and space-efficiency to process large HTS datasets.
Scientific Applications:
- HTS data quality improvement: Improves the overall quality of sequencing reads derived from high-throughput sequencing (HTS) datasets.
- Variant calling: Enhances the accuracy of variant calling by reducing sequencing errors.
- Genome assembly: Improves genome assembly outcomes by supplying higher-quality corrected reads.
- Transcriptome analysis: Increases reliability of transcriptome analyses through read error correction.
Methodology:
Identifies discrepancies in sequencing reads by comparing overlapping regions within datasets and applies a novel computational error-correction approach optimized for time- and space-efficiency.
Topics
Details
- License:
- GPL-3.0
- Maturity:
- Mature
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- C++
- Added:
- 1/13/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Ilie L, Fazayeli F, Ilie S. HiTEC: accurate error correction in high-throughput sequencing data. Bioinformatics. 2010;27(3):295-302. doi:10.1093/bioinformatics/btq653. PMID:21115437.
PMID: 21115437