Evaluation of whole- genome sequence data analysis approaches for short- and long- read sequencing of Mycobacterium tuberculosis

Nilay Peker, Leonard Schuele, Nienke Kok, Miguel Terrazos, Stefan M Neuenschwander, Jessica de Beer, Onno Akkerman, Silke Peter, Alban Ramette, Matthias Merker, Stefan Niemann, Natacha Couto^*, Bhanu Sinha, John Wa Rossen

^*Bijbehorende auteur voor dit werk

Onderzoeksoutput: Article › Academic › peer review

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Data from: Evaluation of whole-genome sequence data analysis approaches for short- and long-read sequencing of Mycobacterium tuberculosis
Peker, N. (Contributor), Schüle, L. (Contributor), Kok, N. (Contributor), Terrazos, M. (Contributor), Neuenschwander, S. M. (Contributor), de Beer, J. (Contributor), Akkerman, O. (Contributor), Peter, S. (Contributor), Ramette, A. (Contributor), Merker, M. (Contributor), Niemann, S. (Contributor), Couto, N. (Contributor), Sinha, B. (Contributor) & Rossen, J. (Contributor), figshare Academic Research System, 24-nov.-2021
DOI: 10.6084/m9.figshare.17075987.v1
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Evaluation of whole- genome sequence data analysis approaches for short- and long- read sequencing of Mycobacterium tuberculosis

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Data from: Evaluation of whole-genome sequence data analysis approaches for short- and long-read sequencing of Mycobacterium tuberculosis