Array Suite
Array Suite analyzes Next-Generation Sequencing (NGS) and -OMIC datasets, integrating Array Studio and Array Server to perform quality control, sequence alignment, variation detection, expression quantification, and junction discovery for genomics and transcriptomics research.
Key Features:
- Comprehensive Data Analysis: Supports quality control, sequence alignment, variation detection, expression quantification, and junction discovery across genomics, transcriptomics, proteomics, and metabolomics datasets.
- Efficient RNA-Seq Pipeline (Oshell): Implements an ultra-fast RNA-Seq analysis pipeline operating within the Oshell environment to process high-volume sequencing data.
- Array Server Backend: Provides storage and large-scale data processing capabilities for NGS and -OMIC datasets.
- Cross-Platform Compatibility: Operates on Linux and Windows computing environments.
- Scalable Computing Options: Supports stand-alone and cluster deployments with parallel computing capabilities for high-throughput analyses.
Scientific Applications:
- Transcriptome analysis: RNA-Seq processing for gene expression profiling and junction discovery.
- Variant detection: Identification and analysis of genetic variations from sequencing data.
- Expression quantification: Quantitative measurement of transcript abundance for differential expression studies.
- Multi-OMIC studies: Integration and analysis of genomics, transcriptomics, proteomics, and metabolomics datasets.
- High-throughput sequencing projects: Scalable processing for large NGS datasets.
Methodology:
Computational methods explicitly include quality control, sequence alignment, variation detection, expression quantification, junction discovery, an Oshell-based ultra-fast RNA-Seq pipeline, Array Server for data storage/processing, and support for parallel, stand-alone, and cluster computing.
Topics
Details
- Maturity:
- Mature
- Tool Type:
- workflow
- Operating Systems:
- Linux, Windows
- Programming Languages:
- C#
- Added:
- 1/13/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Jing Li, Jun Hu, Newman M, Kejun Liu, Huanying Ge. RNA-Seq Analysis Pipeline Based on Oshell Environment. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2014;11(5):973-978. doi:10.1109/tcbb.2014.2321156. PMID:26356868.