bcbioRNASeq

bcbioRNASeq automates processing of RNA-seq data to generate gene abundance counts and support differential expression and functional enrichment analyses.

Key Features:

• Automated Workflow: Processes raw sequencing data, organizes and annotates results, and generates reports on differentially expressed genes.
• Scalability: Handles large, high-throughput RNA-seq datasets for genome-scale analyses.
• Integration with Bioconductor: Interfaces with the Bioconductor ecosystem within the R environment for downstream statistical analysis.
• Quality Control and Reporting: Automates quality control analyses and produces summary reports on data integrity.
• Differential Expression Analysis: Supports identification and reporting of differentially expressed genes.
• Functional Enrichment Analyses: Facilitates functional enrichment and pathway-level interpretation of differential results.

Scientific Applications:

• Genomics: Quantification of gene abundance and comparative expression across samples for genome-scale studies.
• Transcriptomics: Analysis of RNA-seq experiments to identify expression changes and transcript-level patterns.
• Systems Biology: Integration of differential expression and enrichment results to study pathways and biological processes.
• High-throughput RNA-seq studies: Processing and summarizing large cohorts of RNA-seq samples for cohort-level analyses.

Methodology:

Processing of raw sequencing data; generation of gene abundance counts; organization and annotation of results; automated quality control analyses; differential expression analysis; functional enrichment analyses; integration with Bioconductor in R.