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={Jessica Severin and Marina Lizio and Jayson Harshbarger and Hideya Kawaji and Carsten O. Daub and Yoshihide Hayashizaki and Nicolas Bertin and Alistair R. R. Forrest},
  journal={Nature Biotechnology},
  year={2014},
  volume={32},
  pages={217-219}
}
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… Expand
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