An Optimized Scaffolding Algorithm for Unbalanced Sequencing-Reference-Cited by-同舟云学术

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An Optimized Scaffolding Algorithm for Unbalanced Sequencing

Published:2023-05-28 Issue:3 Volume:41 Page:553-579
ISSN:0288-3635
Container-title:New Generation Computing
language:en
Short-container-title:New Gener. Comput.

Author:

Zhu Wufei,Liu Ying,Zhao Ya,Liao Xingyu,Tong Mingxu,Liao Xiangyu^ORCID

Funder

Innovative Research Group Project of the National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00354-023-00221-6.pdf

Reference57 articles.

1. Amarasinghe, S.L., Su, S., Dong, X., et al.: Opportunities and challenges in long-read sequencing data analysis. Genome Biol. 21, 30 (2020)

2. Wang, Y., Zhao, Y., Bollas, A., et al.: Nanopore sequencing technology, bioinformatics and applications. Nat. Biotechnol. 39, 1348–1365 (2021)

3. Mantere, T., Kersten, S., Hoischen, A.: Long-Read Sequencing Emerging in Medical Genetics. Front. Genet. 10, 426 (2019)

4. Miller, J.R., Delcher, A.L., Koren, S., et al.: Aggressive assembly of pyrosequencing reads with mates. Bioinformatics 24(24), 2818–2824 (2008)

5. Liao, X., Li, M., Zou, Y., et al.: An efficient trimming algorithm based on multi-feature fusion scoring model for NGS data. IEEE/ACM Trans. Comput. Biol. Bioinform. (2019). https://doi.org/10.1109/TCBB.2019.2897558

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