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

Peker, Nilay; Schuele, Leonard; Kok, Nienke; Terrazos, Miguel; Neuenschwander, Stefan M.; de Beer, Jessica; Akkerman, Onno; Peter, Silke; Ramette, Alban; Merker, Matthias; Niemann, Stefan; Couto, Natacha; Sinha, Bhanu; Rossen, John Wa (2021). Evaluation of whole-genome sequence data analysis approaches for short- and long-read sequencing of Mycobacterium tuberculosis. Microbial genomics, 7(11) Microbiology Society 10.1099/mgen.0.000695

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Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Service Sector > Institute for Infectious Diseases
04 Faculty of Medicine > Service Sector > Institute for Infectious Diseases > Clinical Microbiology
04 Faculty of Medicine > Service Sector > Institute for Infectious Diseases > Research

UniBE Contributor:

Terrazos Miani, Miguel Angel; Neuenschwander, Stefan and Ramette, Alban Nicolas

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health

ISSN:

2057-5858

Publisher:

Microbiology Society

Language:

English

Submitter:

Alban Nicolas Ramette

Date Deposited:

05 Jan 2022 14:55

Last Modified:

05 Jan 2022 15:01

Publisher DOI:

10.1099/mgen.0.000695

PubMed ID:

34825880

Uncontrolled Keywords:

Mycobacterium tuberculosis cgMLST cgSNP typing de novo assembly drug-resistance prediction nanopore sequencing

BORIS DOI:

10.48350/162129

URI:

https://boris.unibe.ch/id/eprint/162129

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