@article {Fisch008383, author = {Kathleen M. Fisch and Tobias Meissner and Louis Gioia and Jean-Christophe Ducom and Tristan M. Carland and Salvatore Loguercio and Andrew I. Su}, title = {Omics Pipe: A Computational Framework for Reproducible Multi-Omics Data Analysis}, elocation-id = {008383}, year = {2014}, doi = {10.1101/008383}, publisher = {Cold Spring Harbor Laboratory}, abstract = {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.}, URL = {https://www.biorxiv.org/content/early/2014/08/23/008383}, eprint = {https://www.biorxiv.org/content/early/2014/08/23/008383.full.pdf}, journal = {bioRxiv} }