STAR

STAR provides management, visualization, and analysis of next-generation sequencing (NGS) data for genomics and transcriptomics research.

Key Features:

• Data management: Collects, organizes, and stores large-scale NGS datasets, including incorporation of third-party sequencing data from public domains.
• Visualization: Offers track-based visualization of genomic data to inspect alignments, annotations, and quantitative signals.
• Track-based analysis: Supports configurable genomic tracks that enable both simple inspection and advanced per-track analyses.
• Feature detection: Performs detection of genomic features within NGS datasets to identify signals of interest.
• Large-scale hosting: Hosts and integrates thousands of genomic tracks for comparative and integrative analyses.

Scientific Applications:

• Genomics: Visualization and analysis of genomic alignments, annotations, and variant-associated signals from NGS experiments.
• Transcriptomics: Exploration of RNA-seq data for transcript structure, expression profiling, and splice-junction evidence.
• Multi-omic integration: Comparative analysis across multiple tracks to support integrative studies combining diverse NGS datasets.
• Large-scale NGS studies: Management and comparative analysis of extensive collections of sequencing tracks for cohort- or atlas-scale projects.

Methodology:

Computational functionality includes data collection and management, track-based visualization, per-track analyses and feature detection, and integration of third-party sequencing tracks.