BISR-RNAseq

BISR-RNAseq performs automated processing of RNA sequencing (RNA-seq) data to generate alignments, quality control metrics, and gene-level counts for gene expression profiling on high-performance computing systems.

Key Features:

• Scalability and Efficiency: Leverages high-performance computing to process large-scale RNA-seq datasets efficiently.
• Comprehensive Analysis Workflow: Includes alignment, quality control (QC), and gene-wise counts generation.
• Integration of Open-source Tools: Integrates multiple open-source bioinformatics software packages within the workflow.
• Demonstrated Application to Public Data: Has been applied to publicly available RNA-seq datasets from GEO.

Scientific Applications:

• Gene Expression Profiling: Produces gene-level counts suitable for profiling gene expression and downstream analyses such as differential gene expression.
• High-throughput RNA-seq Studies: Supports large-scale or high-throughput projects that require scalable processing.
• Public Dataset Reanalysis: Applicable to reanalysis of publicly available RNA-seq datasets from repositories such as GEO.

Methodology:

The workflow performs read alignment, comprehensive quality control, and gene-wise counts generation using integrated open-source software within a high-performance computing environment.