Grüning, BjörnRasche, EricRebolledo-Jaramillo, BorisEberhard, CarlHouwaart, TorstenChilton, JohnCoraor, NateBackofen, RolfTaylor, JamesNekrutenko, Anton2017-09-042017-09-042017PLoS Comput Biol. 2017 May; 13(5): e1005425http://hdl.handle.net/11447/1637http://dx.doi.org/10.1371/journal.pcbi.1005425What 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., the list of variable sites). The subsequent exploratory stage is much more ad hoc and requires the development of custom scripts and pipelines, making it problematic for biomedical researchers. Here, we describe a hybrid platform combining common analysis pathways with the ability to explore data interactively. It aims to fully encompass and simplify the "raw data-to-publication" pathway and make it reproducible.10en-USBiomedical Research/methodsBiomedical Research/organization & administrationComputational BiologyHigh-Throughput Nucleotide SequencingHumansResearch PersonnelSoftwareArtículo