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NGS analyses by visualization with Trackster

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Figure 1: Using Trackster to improve XBP1 transcript assembly results via interactive tool use and parameter-space exploration.
Figure 2: Using Trackster to dynamically filtering transcript assemblies for multiple tissues to identify highquality transcripts and filter out assembly artifacts.

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Acknowledgements

Efforts of the Galaxy Team (E. Afgan, D. Baker, D. Blankenberg, N.C., J.G., G. Von Kuster, R. Lazarus, K. Li) were instrumental in making this work happen. This project was supported by American Recovery and Reinvestment Act (ARRA) funds through grant number HG005542 from the National Human Genome Research Institute, National Institutes of Health, as well as grants HG005133, HG004909 and HG006620 and National Science Foundation grant DBI 0543285. Additional funding is provided, in part, under a grant from the Pennsylvania Department of Health using Tobacco Settlement Funds. The Department specifically disclaims responsibility for any analyses, interpretations or conclusions.

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Correspondence to Anton Nekrutenko or James Taylor.

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Goecks, J., Coraor, N., Team, T. et al. NGS analyses by visualization with Trackster. Nat Biotechnol 30, 1036–1039 (2012). https://doi.org/10.1038/nbt.2404

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