RabbitQCPlus 2.0: More efficient and versatile quality control for sequencing data.

Yan L, Yin Z, Zhang H, Zhao Z, Wang M, Müller A, Kallenborn F, Wichmann A, Wei Y, Niu B, Schmidt B, Liu W

Open source

DOI
10.1016/j.ymeth.2023.06.007
Published
2023 Aug
Container
Methods (San Diego, Calif.)
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.ymeth.2023.06.007,
  title = {RabbitQCPlus 2.0: More efficient and versatile quality control for sequencing data.},
  author = {Yan L and Yin Z and Zhang H and Zhao Z and Wang M and Müller A and Kallenborn F and Wichmann A and Wei Y and Niu B and Schmidt B and Liu W},
  year = {2023},
  journal = {Methods (San Diego, Calif.)},
  doi = {10.1016/j.ymeth.2023.06.007},
  url = {https://doi.org/10.1016/j.ymeth.2023.06.007}
}

RIS

TY  - JOUR
TI  - RabbitQCPlus 2.0: More efficient and versatile quality control for sequencing data.
AU  - Yan L
AU  - Yin Z
AU  - Zhang H
AU  - Zhao Z
AU  - Wang M
AU  - Müller A
AU  - Kallenborn F
AU  - Wichmann A
AU  - Wei Y
AU  - Niu B
AU  - Schmidt B
AU  - Liu W
PY  - 2023
JO  - Methods (San Diego, Calif.)
DO  - 10.1016/j.ymeth.2023.06.007
UR  - https://doi.org/10.1016/j.ymeth.2023.06.007
ER  - 

APA

L, Y., Z, Y., H, Z., Z, Z., M, W., A, M., F, K., A, W., Y, W., B, N., B, S., & W, L. (2023). RabbitQCPlus 2.0: More efficient and versatile quality control for sequencing data.. Methods (San Diego, Calif.). https://doi.org/10.1016/j.ymeth.2023.06.007

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