TY - JOUR T1 - Enhancing pre-defined workflows with <em>ad hoc</em> analytics using Galaxy, Docker and Jupyter JF - bioRxiv DO - 10.1101/075457 SP - 075457 AU - Björn A. Grüning AU - Eric Rasche AU - Boris Rebolledo-Jaramillo AU - Carl Eberhard AU - Torsten Houwaart AU - John Chilton AU - Nate Coraor AU - Rolf Backofen AU - James Taylor AU - Anton Nekrutenko Y1 - 2016/01/01 UR - http://biorxiv.org/content/early/2016/09/16/075457.abstract N2 - What does it take to convert a heap of sequencing data into a publishable result? First, common tools are employed to reduce primary data (sequencing reads) to a form suitable for further analyses (i.e., list of variable sites). The subsequent exploratory stage is much more ad hoc and requires development of custom scripts making it problematic for biomedical researchers. Here we describe a hybrid platform combining common analysis pathways with exploratory environments. It aims at fully encompassing and simplifying the “raw data-to-publication” pathway and making it reproducible. ER -