TB Portals
Prediction of multiple drug resistant pulmonary tuberculosis against drug sensitive pulmonary tuberculosis by CT nodular consolidation sign. International partnership for clinical informatics. and advanced research in tuberculosis. Leveraging clinical, genomic, and imaging data.
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Prediction of multiple drug resistant pulmonary tuberculosis against drug sensitive pulmonary tuberculosis by CT nodular consolidation sign. International partnership for clinical informatics. and advanced research in tuberculosis. Leveraging clinical, genomic, and imaging data.
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:26:34.850590
Webpage:
https://tbportals.niaid.nih.govWebpage
More detailed information about this field from each metasource.
https://tbportals.niaid.nih.gov
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:26:34.850590
Publications:
Publications
More detailed information about this field from each metasource.
Comparative analysis of genomic variability for drug-resistant strains of Mycobacterium tuberculosis: The special case of Belarus
PMID: 31838261
metasource: bio.tools
version: extracted_at: 2022-11-04T11:26:34.850590
http://dx.doi.org/10.1101/833954
metasource: bio.tools
version: extracted_at: 2022-11-04T11:26:34.850590
Publications
More detailed information about this field from each metasource.
Comparative analysis of genomic variability for drug-resistant strains of Mycobacterium tuberculosis: The special case of Belarus
PMID: 31838261
metasource: bio.tools
version: extracted_at: 2022-11-04T11:26:34.850590
http://dx.doi.org/10.1101/833954
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:26:34.850590
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Comparative analysis of genomic variability for drug-resistant strains of Mycobacterium tuberculosis: The special case of Belarus
PubMed citations: 1.
1 articles citing: Comparative analysis of genomic variability for drug-resistant strains of Mycobacterium tuberculosis: The special case of Belarus
The technology behind TB DEPOT: a novel public analytics platform integrating tuberculosis clinical, genomic, and radiological data for visual and statistical exploration. PMID:33150354 - http://dx.doi.org/10.1101/833954
Tags:
Tags
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medical informatics
metasource: bio.tools
version: extracted_at: 2022-11-04T11:26:34.850590
medical imaging
metasource: bio.tools
version: extracted_at: 2022-11-04T11:26:34.850590
pathology
metasource: bio.tools
version: extracted_at: 2022-11-04T11:26:34.850590
dna polymorphism
metasource: bio.tools
version: extracted_at: 2022-11-04T11:26:34.850590
infectious disease
metasource: bio.tools
version: extracted_at: 2022-11-04T11:26:34.850590
Tags
More detailed information about this field from each metasource.
medical informatics
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:26:34.850590
medical imaging
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:26:34.850590
pathology
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:26:34.850590
dna polymorphism
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:26:34.850590
infectious disease
metasource: bio.toolsversion: extracted_at: 2022-11-04T11:26:34.850590
medical informatics medical imaging pathology dna polymorphism infectious disease
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