CellHeap: A Workflow for Optimizing COVID-19 Single-Cell RNA-Seq Data Processing in the Santos Dumont Supercomputer-Reference-Cited by-同舟云学术

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CellHeap: A Workflow for Optimizing COVID-19 Single-Cell RNA-Seq Data Processing in the Santos Dumont Supercomputer

Published:2021 Issue: Volume: Page:41-52
ISSN:0302-9743
Container-title:Advances in Bioinformatics and Computational Biology
language:
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Author:

Silva Vanessa S.,Costa Maiana O. C.,Castro Maria Clicia S.,Silva Helena S.,Walter Maria Emilia M. T.,Melo Alba C. M. A.,Ocaña Kary A. C.,dos Santos Marcelo T.,Nicolas Marisa F.,Carvalho Anna Cristina C.,Henriques-Pons Andrea,Silva Fabrício A. B.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-91814-9_4

Reference35 articles.

1. Aalst, W.M.P.: Flexible workflow management systems: an approach based on generic process models. In: Proceedings of the Database and Expert Systems Applications (DEXA), pp. 186–195 (1999)

2. Baran, Y., et al.: MetaCell: analysis of single-cell RNA-seq data using K-nn graph partitions. Genome Biol. 20(1), 1–19 (2019)

3. Bost, P., et al.: Host-viral infection maps reveal signatures of severe COVID-19 patients. Cell 181(7), 1475–1488 (2020)

4. Methods in Molecular Biology;E Clough,2016

5. Deelman, E., Peterka, T., Altintas, I., et al.: The future of scientific workflows. Int. J. High Perform. Comput. Appl. 32(1), 159–175 (2018)

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1. A Framework for Automated Parallel Execution of Scientific Multi-workflow Applications in the Cloud with Work Stealing;Lecture Notes in Computer Science;2024

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