<p>Transcriptome annotation in the cloud: complexity, best practices and cost</p>

Roberto Vera Alvarez; Leonardo Mariño-Ramírez; David Landsman

doi:10.7490/f1000research.1118677.1

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Vera Alvarez R, Mariño-Ramírez L and Landsman D. Transcriptome annotation in the cloud: complexity, best practices and cost [version 1; not peer reviewed]. F1000Research 2021, 10(ISCB Comm J):704 (poster) (https://doi.org/10.7490/f1000research.1118677.1)

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Transcriptome annotation in the cloud: complexity, best practices and cost

Roberto Vera Alvarez¹, Leonardo Mariño-Ramírez, David Landsman¹

Published 30 Jul 2021 (https://doi.org/10.7490/f1000research.1118677.1)

Author Affiliations

¹ NCBI/NLM/NIH, USA

Copyright © 2021 Vera Alvarez R et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The author(s) is/are employees of the US Government and therefore domestic copyright protection in USA does not apply to this work. The work may be protected under the copyright laws of other jurisdictions when used in those jurisdictions.

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Published 30 Jul 2021

Transcriptome annotation in the cloud: complexity, best practices and cost
[version 1; not peer reviewed]

Roberto Vera Alvarez¹, Leonardo Mariño-Ramírez, David Landsman¹

Author Affiliations

¹ NCBI/NLM/NIH, USA

Presented at

ISMB/ECCB 2021

Abstract

Competing Interests

No competing interests were disclosed

Keywords

transcriptome assembly and annotation

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