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… CONTINUE READING
Highly Cited
This paper has 293 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 52 extracted citations

294 Citations

050100150'13'14'15'16'17'18
Citations per Year
Semantic Scholar estimates that this publication has 294 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-2 of 2 references

The ENCODE Project Consortium

  • L. H. Chadwick
  • Epigenomics
  • 2012

Similar Papers

Loading similar papers…