ParslRNA-Seq: An Efficient and Scalable RNAseq Analysis Workflow for Studies of Differentiated Gene Expression-Reference-Cited by-同舟云学术

ParslRNA-Seq: An Efficient and Scalable RNAseq Analysis Workflow for Studies of Differentiated Gene Expression

Published:2022 Issue: Volume: Page:174-189
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
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Author:

Ocaña Kary,Cruz Lucas,Coelho Micaella,Terra Rafael,Galheigo Marcelo,Carneiro Andre,Carvalho Diego,Gadelha Luiz,Boito Francieli,Navaux Philippe,Osthoff Carla

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-23821-5_13

Reference14 articles.

1. Anders, S., Huber, W.: Differential expression analysis for sequence count data. Genome Biol. 11(R106) (2010). https://doi.org/10.1186/gb-2010-11-10-r106

2. da Silva, R.F., Filgueira, R., Pietri, I., et al.: A characterization of workflow management systems for extreme-scale applications. Future Gener. Comput. Syst. 75, 228–238 (2017). https://doi.org/10.1016/j.future.2017.02.026

3. Mattoso, M., Werner, C., Travassos, G., et al.: Towards supporting the life cycle of large-scale scientific experiments. Int. J. Bus. Process. Integr. Manag. 5, 79–92 (2010). https://doi.org/10.1504/IJBPIM.2010.033176

4. Cruz, L., Coelho, M., Gadelha, L., et al.: Avaliação de Desempenho de um Workflow Científico para Experimentos de RNA-Seq no Supercomputador Santos Dumont. In: Anais Estendidos do XXI Simpósio em Sistemas Computacionais de Alto Desempenho, SBC 2020, pp. 86–93 (2020). https://doi.org/10.5753/wscad_estendido.2020.14093

5. Liao, Y., Smyth, G., Shi, W.: featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics 30(7), 923–930 (2014). https://doi.org/10.1093/bioinformatics/btt656