InteMAP

InteMAP integrates the de novo assemblers ABySS, IDBA-UD, and CABOG to improve draft metagenomic assemblies from Illumina and other next-generation sequencing (NGS) short reads by selecting assembly strategies based on estimated sequencing coverage to increase contiguity and gene recovery.

Key Features:

• Multi-assembler integration: Combines ABySS, IDBA-UD, and CABOG within a single pipeline to leverage complementary assembler strengths.
• Coverage-aware assembler selection: Uses an intelligent decision-making algorithm to select the most appropriate assembler based on estimated sequencing coverage of each short read.
• Uneven coverage handling: Specifically addresses the uneven coverage distribution characteristic of metagenomic NGS datasets such as Illumina.
• Improved assembly metrics: Produces assemblies with longer total contig lengths, higher contiguity, and recovery of more genes compared to individual assemblers.
• Empirical validation: Demonstrated superior performance in comparative studies on both synthetic and real NGS metagenomic datasets.

Scientific Applications:

• Metagenomic assembly: Assembly of short-read metagenomic datasets from Illumina and other NGS platforms to generate draft contigs.
• Microbial community analysis: Reconstruction of community-derived contigs to improve gene recovery for downstream analyses of microbial communities.
• Assembler benchmarking: Comparative assessment of assembler performance across different sequencing depths using synthetic and real datasets.

Methodology:

Performs a comprehensive assessment of assembler performance across sequencing depths, integrates ABySS, IDBA-UD, and CABOG, and applies an algorithm that selects the assembling approach based on estimated sequencing coverage of short reads to handle uneven coverage in metagenomic NGS data.