NextClip
NextClip performs quality assessment and read preparation for Illumina Nextera Long Mate Pair (LMP) libraries with jumping insert sizes up to 12 kilobases, producing trimmed and deduplicated read sets and reports to support complex genome assembly and structural variant analysis.
Key Features:
- Library support: Processes Illumina Nextera Long Mate Pair (LMP) libraries that generate jumping libraries with insert sizes up to 12 kilobases.
- Quality reporting: Generates comprehensive quality reports detailing the characteristics and integrity of sequenced reads.
- Low-quality base trimming: Identifies and trims low-quality bases from reads.
- Duplicate removal: Detects and removes duplicate sequences to reduce bias in downstream analyses.
- Read extraction: Extracts and outputs trimmed and deduplicated reads for downstream use.
- High-quality read selection: Selects high-quality reads for further analysis.
- Automation and standardization: Automates processing steps and standardizes procedures for consistent read preparation.
Scientific Applications:
- Complex genome assembly: Supports complex genomic assemblies by providing long jumping mate-pair reads with improved quality.
- Structural variant characterization: Facilitates characterization of structural variants using long-insert mate-pair data.
- Downstream genomic analyses: Improves accuracy of downstream analyses by supplying trimmed, deduplicated, and filtered read sets.
Methodology:
Generates quality reports, identifies and trims low-quality bases, removes duplicate sequences, selects high-quality reads, and extracts trimmed and deduplicated reads with automated processing to standardize outputs.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- C
- Added:
- 12/18/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Leggett RM, Clavijo BJ, Clissold L, Clark MD, Caccamo M. NextClip: an analysis and read preparation tool for Nextera Long Mate Pair libraries. Bioinformatics. 2013;30(4):566-568. doi:10.1093/bioinformatics/btt702. PMID:24297520. PMCID:PMC3928519.