Interactive visualization and analysis of large-scale sequencing datasets using ZENBU

@article{Severin2014InteractiveVA,
  title={Interactive visualization and analysis of large-scale sequencing datasets using ZENBU},
  author={J. Severin and M. Lizio and Jayson Harshbarger and H. Kawaji and C. Daub and Y. Hayashizaki and Nicolas Bertin and A. Forrest},
  journal={Nature Biotechnology},
  year={2014},
  volume={32},
  pages={217-219}
}
  • J. Severin, M. Lizio, +5 authors A. Forrest
  • Published 2014
  • Computer Science, Medicine
  • Nature Biotechnology
  • 217 clustering (Fig. 1c and Supplementary Figs. 3 and 4), and collation (Fig. 1h and Supplementary Fig. 3). With an understanding of these atomic operations, more advanced users can combine them into complex processing scripts. These customized scripts can also be saved and shared allowing efficient re-use of optimized analyses and views. To demonstrate some of ZENBU’s functionality, we show multiple views on the same underlying data, ENCODE RNA-seq2 experiments loaded in BAM format (Fig. 1… CONTINUE READING
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