Omics Pipe
Omics Pipe automates multi-omics next-generation sequencing data analysis pipelines to enable reproducible processing and comparative analysis of large-scale datasets such as TCGA.
Key Features:
- Modular computational platform: Provides a modular framework for constructing and executing multi-omics workflows.
- Workflow automation: Automates execution of best-practice pipelines for next-generation sequencing analyses.
- Supported assays: Supports RNA-seq, miRNA-seq, Exome-seq, Whole-Genome sequencing, and ChIP-seq analyses.
- TCGA processing: Automates downloading and processing of TCGA samples for large-scale cohort analyses.
- Execution environments: Executes workflows on high-performance compute clusters and cloud environments.
- Reproducibility: Enhances reproducibility of complex bioinformatics analyses and generation of interpretable results.
- Large-scale dataset handling: Handles large cohorts, demonstrated on 100 TCGA breast invasive carcinoma paired tumor-normal datasets using UCSC hg19 RefSeq annotation.
- Reporting and aggregation: Produces comprehensive per-sample results reports and aggregates individual sample results to support comparative analyses with publications.
Scientific Applications:
- Transcriptomics: Analysis of RNA-seq and miRNA-seq data for expression profiling and differential expression studies.
- Variant discovery: Analysis of Exome-seq and Whole-Genome sequencing data for variant calling and cohort-level comparisons.
- Epigenomics: Analysis of ChIP-seq data for identification of protein-DNA interactions and regulatory regions.
- Cancer cohort analysis: Processing and comparative analysis of TCGA datasets, including paired tumor-normal studies and reanalysis with updated UCSC hg19 RefSeq annotation to identify overlaps and novel insights.
Methodology:
Automated downloading and processing of TCGA samples, execution of best-practice NGS workflows on high-throughput compute clusters and cloud environments, generation of comprehensive per-sample result reports, and aggregation of individual sample results for comparative analysis.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python
- Added:
- 8/3/2017
- Last Updated:
- 12/10/2018
Operations
Publications
Fisch KM, et al. Omics Pipe: a community-based framework for reproducible multi-omics data analysis. Bioinformatics. 2015; 31:1724-8. doi: 10.1093/bioinformatics/btv061
PMID: 25637560