RecruitPlotEasy

RecruitPlotEasy maps short metagenomic and metatranscriptomic reads to reference isolate genomes, single-cell genomes, and metagenome-assembled genomes (MAGs) to assess microbial population relative abundance and structure.

Key Features:

• Automated Read Mapping: Automates mapping of short metagenomic and metatranscriptomic reads to reference isolate genomes, single-cell genomes, and MAGs.
• Quality Filtering: Applies statistical methods to filter read matches and retain high-confidence mappings.
• Visualizations: Produces visual summaries of read mapping results to aid interpretation of relative abundance and genetic variation.
• Diversity Analysis: Implements statistical approaches to quantify intra-population sequence diversity and gene-content diversity and to identify co-occurring relative populations.

Scientific Applications:

• Microbial population profiling: Assess relative abundance and population structure in environmental and clinical metagenomes and metatranscriptomes.
• Population genetics: Characterize intra-population sequence diversity and detect co-occurring closely related populations within samples.
• Gene-content variation analysis: Quantify gene-content diversity across recruited reads to study functional variation among populations.

Methodology:

Automated mapping of short metagenomic and metatranscriptomic reads to reference isolate genomes, single-cell genomes, or MAGs; statistical filtering of read matches; statistical quantification of intra-population sequence diversity and gene-content diversity; and generation of visualizations of mapping results.