Quality Control Pipeline for Next Generation Sequencing Data Analysis

Author:

Nayak Debasish Swapnesh Kumar,Das Jayashankar,Swarnkar Tripti

Publisher

Springer Nature Singapore

Reference15 articles.

1. Capina, R., Li, K., Kearney, L., Vandamme, A.M., Harrigan, P.R., Van Laethem, K.: Quality control of next-generation sequencing-based HIV-1 drug resistance data in clinical laboratory information systems framework. Viruses 12, 1–16 (2020). https://doi.org/10.3390/v12060645

2. Lee, E.R., Parkin, N., Jennings, C., Brumme, C.J., Enns, E., Casadellà, M., Howison, M., Coetzer, M., Avila-Rios, S., Capina, R., Marinier, E., Van Domselaar, G., Noguera-Julian, M., Kirkby, D., Knaggs, J., Harrigan, R., Quiñones-Mateu, M., Paredes, R., Kantor, R., Sandstrom, P., Ji, H.: Performance comparison of next generation sequencing analysis pipelines for HIV-1 drug resistance testing. Sci. Rep. 10, 1–10 (2020). https://doi.org/10.1038/s41598-020-58544-z

3. Ji, H., Enns, E., Brumme, C.J., Parkin, N., Howison, M., Lee, E.R., Capina, R., Marinier, E., Avila-Rios, S., Sandstrom, P., Van Domselaar, G., Harrigan, R., Paredes, R., Kantor, R., Noguera-Julian, M.: Bioinformatic data processing pipelines in support of next-generation sequencing-based HIV drug resistance testing: the Winnipeg Consensus. J. Int. AIDS Soc. 21, 1–14 (2018). https://doi.org/10.1002/jia2.25193

4. Hwang, B., Lee, J.H., Bang, D.: Single-cell RNA sequencing technologies and bioinformatics pipelines. Exp. Mol. Med. 50, 1–14 (2018). https://doi.org/10.1038/s12276-018-0071-8

5. Pandey, R.V., Pabinger, S., Kriegner, A., Weinhäusel, A.: ClinQC: a tool for quality control and cleaning of Sanger and NGS data in clinical research. BMC Bioinform. 17 (2016). https://doi.org/10.1186/s12859-016-0915-y

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