The Tomato Expression Atlas

@article{FernndezPozo2017TheTE,
  title={The Tomato Expression Atlas},
  author={No{\'e} Fern{\'a}ndez-Pozo and Yi Zheng and Stephen I. Snyder and Philippe Nicolas and Yoshihito Shinozaki and Zhangjun Fei and Carmen Catal{\'a} and James J. Giovannoni and Jocelyn K. C. Rose and Lukas A. Mueller},
  journal={Bioinformatics},
  year={2017},
  volume={33},
  pages={2397 - 2398}
}
Summary: With the development of new high‐throughput DNA sequencing technologies and decreasing costs, large gene expression datasets are being generated at an accelerating rate, but can be complex to visualize. New, more interactive and intuitive tools are needed to visualize the spatiotemporal context of expression data and help elucidate gene function. Using tomato fruit as a model, we have developed the Tomato Expression Atlas to facilitate effective data analysis, allowing the simultaneous… 

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  • 2017

The Tomato Expression Atlas cube (a) and expression images (b). Colors represent expression values in Reads Per Million (RPM)