TY - JOUR T1 - Omics Pipe: A Computational Framework for Reproducible Multi-Omics Data Analysis JF - bioRxiv DO - 10.1101/008383 SP - 008383 AU - Kathleen M. Fisch AU - Tobias Meissner AU - Louis Gioia AU - Jean-Christophe Ducom AU - Tristan M. Carland AU - Salvatore Loguercio AU - Andrew I. Su Y1 - 2014/01/01 UR - http://biorxiv.org/content/early/2014/08/23/008383.abstract N2 - Omics Pipe (https://bitbucket.org/sulab/omics_pipe) is a computational platform that automates multi-omics data analysis pipelines on high performance compute clusters and in the cloud. It supports best practice published pipelines for RNA-seq, miRNA-seq, Exome-seq, Whole Genome sequencing, ChIP-seq analyses and automatic processing of data from The Cancer Genome Atlas. Omics Pipe provides researchers with a tool for reproducible, open source and extensible next generation sequencing analysis. ER -