NEAT

NEAT automates end-to-end processing and analysis of next-generation sequencing (NGS) datasets to provide reproducible workflows for alignment, filtering, peak calling, metagenomic, and differential gene expression analyses.

Key Features:

• Automated NGS processing: Implements fully automated analysis of NGS datasets by integrating multiple processing steps into a single framework.
• Cluster-specific configuration: Supports customization of storage, job submission parameters, wall time, and cluster-specific paths and settings.
• Centralized project parameterization: Organizes projects around a single file containing sample names, replicates, conditions, antibodies, alignment, filtering, and peak calling parameters along with cluster-specific settings.
• Integrated visualization and analysis: Includes built-in tools for rapid visualization and supports metagenomic analyses and differentially expressed gene analysis.
• Compact outputs for sharing: Produces small-sized files to facilitate manipulation, consolidation, and sharing of datasets.

Scientific Applications:

• Metagenomics: Supports exploratory and metagenomic analyses of sequencing datasets.
• Differential gene expression: Enables analysis of differentially expressed genes from NGS experiments.
• Genomic studies and large-scale NGS data management: Facilitates comprehensive data manipulation and reproducible workflows for diverse genomic studies.

Methodology:

NEAT uses a vertically integrated approach combining explicit processing steps such as alignment, filtering, and peak calling, with parameters managed via a centralized project file.