Oasis

Oasis performs integrated analysis of small RNA sequencing (sRNA-seq) data to detect differentially expressed small RNAs, discover novel miRNAs and miRNA targets, support classification-based biomarker detection, and conduct Gene Ontology and pathway enrichment analyses.

Key Features:

• Differential Expression Module: Performs multivariate differential expression analysis of sRNA-seq samples.
• Classification Module: Performs supervised classification to enable biomarker detection and sample molecular profiling.
• Novel miRNA and miRNA-target Analysis: Identifies novel miRNAs and analyzes miRNA targets within differential and classification workflows.
• Functional Enrichment: Conducts Gene Ontology (GO) and pathway enrichment analyses for functional interpretation.
• Advanced Programming Interface: Supports batch submission of jobs for large-scale sRNA-seq analyses.
• Modular Workflow: Provides a modular workflow that enables rapid re-analysis of datasets.

Scientific Applications:

• miRNA research: Discovery and characterization of known and novel miRNAs and their targets from sRNA-seq data.
• Biomarker discovery: Identification of classification-based molecular biomarkers from sample profiles.
• Functional genomics: Interpretation of biological processes and molecular functions via GO and pathway enrichment.
• Genomics and transcriptomics: Application to genomics and transcriptomics studies that use sRNA-seq data.
• Molecular and clinical research: Support for molecular biology investigations and translation of findings toward clinical applications.

Methodology:

Implements multivariate differential expression analysis, supervised classification for biomarker detection, novel miRNA and miRNA-target identification, Gene Ontology and pathway enrichment analyses, and batch job submission within a modular workflow for sRNA-seq data.