ArrayExpressHTS

ArrayExpressHTS processes RNA-seq datasets to perform pre-processing, quality assessment, and gene or transcript expression estimation for downstream analysis.

Key Features:

• Pre-processing: Handles raw sequence files and performs quality control and preprocessing steps to prepare data for expression estimation.
• Expression estimation: Estimates gene or transcript expression levels and produces measurements suitable for downstream analyses.
• Data quality assessment: Assesses data quality and generates comprehensive web reports with metrics and visualizations.
• Bioconductor output: Produces standard Bioconductor R objects containing gene or transcript measurements for integration into downstream workflows.
• Integration with ArrayExpress: Analyzes user-provided datasets and public RNA-seq datasets accessible through the ArrayExpress Archive.

Scientific Applications:

• Differential expression analysis: Provides gene or transcript level measurements for statistical testing of differential gene expression.
• Transcriptional dynamics: Enables comparison of expression across conditions or treatments to explore transcriptional responses.
• Validation of sequencing results: Supplies standardized expression measurements to validate findings from other high-throughput sequencing experiments.
• Meta-analysis: Generates standardized outputs that facilitate meta-analyses across multiple RNA-seq datasets.

Methodology:

Ingests raw sequence files, performs quality control and preprocessing, applies algorithms to quantify gene or transcript levels, and outputs Bioconductor-compatible R objects while generating data quality reports.