IMAGE
IMAGE applies iterative mapping and local assembly of Illumina paired-end reads to close gaps in draft genome assemblies and improve assembly continuity for downstream genomic analyses.
Key Features:
- Iterative mapping and assembly: Performs iterative mapping of Illumina paired-end reads to contig ends followed by local assembly to extend contigs and reduce gaps.
- Gap closure using Illumina paired-end reads: Leverages paired-end read alignments against contig ends to identify reads that span gap regions for extension.
- Local assembly for gap-spanning contigs: Conducts local de novo assembly at identified gap regions to generate contiguous sequences that bridge discontinuities.
- Use of existing sequencing data: Improves draft genome assemblies using existing Illumina paired-end data without requiring additional sequencing.
Scientific Applications:
- Comparative genomics: Enhances assembly contiguity to support genome-wide comparisons between species or strains.
- Functional annotation: Improves sequence continuity for more accurate gene prediction and annotation.
- Evolutionary biology: Reduces assembly fragmentation to facilitate analyses of genomic structure and evolutionary processes.
Methodology:
Iterative mapping of Illumina paired-end reads to contig ends, identification of reads spanning gaps, and local de novo assembly of gap-spanning reads to extend contigs via repeated mapping-and-assembly cycles.
Topics
Details
- Maturity:
- Legacy
- Tool Type:
- workflow
- Operating Systems:
- Linux
- Added:
- 1/13/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Tsai IJ, Otto TD, Berriman M. Improving draft assemblies by iterative mapping and assembly of short reads to eliminate gaps. Genome Biology. 2010;11(4). doi:10.1186/gb-2010-11-4-r41. PMID:20388197. PMCID:PMC2884544.