Combining comparative genomic analysis with machine learning reveals some promising diagnostic markers to identify five common pathogenic non‐tuberculous mycobacteria-Reference-Cited by-同舟云学术

Combining comparative genomic analysis with machine learning reveals some promising diagnostic markers to identify five common pathogenic non‐tuberculous mycobacteria

Published:2021-05-21 Issue:4 Volume:14 Page:1539-1549
ISSN:1751-7915
Container-title:Microbial Biotechnology
language:en
Short-container-title:Microb. Biotechnol.

Author:

Jia Xinmiao¹²^ORCID,Yang Linfang³,Li Cuidan⁴,Xu Yingchun²,Yang Qiwen²,Chen Fei⁴⁵⁶⁷

Affiliation:

1. Medical Research Center State Key laboratory of Complex Severe and Rare Diseases Peking Union Medical College Hospital Peking Union Medical College Beijing 100730 China

2. Department of Clinical Laboratory State Key laboratory of Complex Severe and Rare Diseases Peking Union Medical College Hospital Peking Union Medical College Chinese Academy of Medical Sciences Beijing 100730 China

3. Departments of Dermatology Affiliated Xingtai People’s Hospital of Hebei Medical University Xingtai, Hebei 054001 China

4. CAS Key Laboratory of Genome Sciences & Information China National Center for Bioinformation Chinese Academy of Sciences Beijing Institute of Genomics Beijing 100101 China

5. University of Chinese Academy of Sciences Beijing 100049 China

6. State Key Laboratory of Pathogenesis, Prevention Treatment of High Incidence Diseases in Central Asia Xinjiang China

7. Beijing Key Laboratory of Genome and Precision Medicine Technologies Beijing China

Publisher

Wiley

Subject

Applied Microbiology and Biotechnology,Biochemistry,Bioengineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1751-7915.13815

Reference33 articles.

1. Roary: rapid large-scale prokaryote pan genome analysis

2. Respiratory Outbreak ofMycobacterium abscessusSubspeciesmassiliensein a Lung Transplant and Cystic Fibrosis Center