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

Documentation

Links