Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved (Non-model) Organisms

Blake L. Joyce; Asher K. Haug-Baltzell; Jonathan P. Hulvey; Fiona McCarthy; Upendra Kumar Devisetty; Eric Lyons

doi:10.3791/55009

Journal

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Génétique

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利用CyVerse资源 De Novo不合格（非模型）生物的比较转录组学

Journal JoVE
Génétique

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Journal JoVE Génétique

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved (Non-model) Organisms

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利用CyVerse资源 De Novo不合格（非模型）生物的比较转录组学

8,987 Views

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10:41 min

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May 09, 2017

DOI:

10.3791/55009-v

DOI:

10.3791/55009-v

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10:41 min

May 09, 2017

•

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Blake L. Joyce^1,2, Asher K. Haug-Baltzell³, Jonathan P. Hulvey⁴, Fiona McCarthy⁵, Upendra Kumar Devisetty^1,6, Eric Lyons^1,2,3

¹BIO5 Institute,University of Arizona, ²The School of Plant Sciences,University of Arizona, ³Genetics GIDP,University of Arizona, ⁴Biology Department,University of Massachusetts Amherst, ⁵School of Animal and Comparative Biomedical Sciences,University of Arizona, ⁶CyVerse,University of Arizona

Summary

This protocol outlines a comparative de novo transcriptome assembly and annotation workflow for novice bioinformaticians. The workflow is available for free entirely through CyVerse and connected by the Data Store. Command line and graphical user interfaces are used, but all code needed is available to copy and paste.

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利用CyVerse资源<em> De Novo</em>不合格（非模型）生物的比较转录组学

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