A web application to aid with the analysis of high-throughput sequencing data. In the back-end, it uses the Goby framework, BWA, STAR, Last, GSNAP, Samtools, VCF-tools, along with a cluster of servers to provide rapid alignment and efficient analyses. GobyWeb makes it possible to analyze hundreds of samples in consistent ways without having to use command line tools. GobyWeb provides tools that streamline frequent data analyses for RNA-seq, Methyl-seq, RRBS, or DNA-seq datasets and to enable teams of investigators to share reads and results of analyses. GobyWeb can be extended for new analyses by developing plugins.
The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, The Weill Cornell Medical College, New York, NY, USA; Department of Physiology and Biophysics, The Weill Cornell Medical College, New York, NY, USA
GobyWeb funding source(s)
This work was supported by grant UL1 RR024996 (NIH/NCRR) of the Clinical and Translation Science Center at Weill Cornell Medical College, by grant LLS 6304-11 from the Lymphoma and Leukemia Society Translational Research Program, and by R01 MH086883 (NIH/NIMH). Support was also provided by the Tri-Institutional Training Program in Computational Biology and Medicine.