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.

Documentation