ConDeTri
ConDeTri performs content-dependent trimming of Illumina/Solexa sequencing reads to remove low-quality bases and improve data quality for downstream analyses.
Key Features:
- Content-Dependent Trimming: Evaluates per-base quality scores within sequencing reads to identify and remove low-quality or erroneous bases.
- Read Standardization: Produces standardized reads by trimming errors to improve consistency for downstream analyses.
- Single-end and Paired-end Support: Processes both single-end and paired-end Illumina/Solexa reads of varying length and coverage.
- Integration with NGS Pipelines: Functions as a preprocessing component compatible with next-generation sequencing data processing pipelines.
- Resource Efficiency: Trims low-quality reads to reduce memory usage and runtime during de novo assemblies, useful for low-coverage projects and large genomes.
Scientific Applications:
- Model and Non-model Organism Studies: Improves sequencing read quality to support genomic and comparative analyses across diverse organisms.
- De novo Genome Assembly: Provides higher-quality input reads for de novo assembly workflows.
- Large-scale Genomic Research: Helps manage computational demands in projects with extensive datasets or large genomes by reducing low-quality data.
Methodology:
ConDeTri evaluates each base's quality score within reads and trims or removes low-quality bases and reads accordingly for Illumina/Solexa single-end and paired-end data.
Topics
Details
- Maturity:
- Mature
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Perl
- Added:
- 1/13/2017
- Last Updated:
- 11/24/2024
Operations
Publications
Smeds L, Künstner A. ConDeTri - A Content Dependent Read Trimmer for Illumina Data. PLoS ONE. 2011;6(10):e26314. doi:10.1371/journal.pone.0026314. PMID:22039460. PMCID:PMC3198461.