An Automated Bioinformatics Pipeline Informing Near-Real-Time Public Health Responses to New HIV Diagnoses in a Statewide HIV Epidemic

Molecular HIV cluster data can guide public health responses towards ending the HIV epidemic. Currently, real-time data integration, analysis, and interpretation are challenging, leading to a delayed public health response. We present a comprehensive methodology for addressing these challenges throu...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Mark Howison, Fizza S. Gillani, Vlad Novitsky, Jon A. Steingrimsson, John Fulton, Thomas Bertrand, Katharine Howe, Anna Civitarese, Lila Bhattarai, Meghan MacAskill, Guillermo Ronquillo, Joel Hague, Casey W. Dunn, Utpala Bandy, Joseph W. Hogan, Rami Kantor
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	MDPI AG 2023-03-01
سلاسل:	Viruses
الموضوعات:	molecular HIV clusters phylogenetics molecular epidemiology HIV transmission networks contact tracing near-real-time data integration
الوصول للمادة أونلاين:	https://www.mdpi.com/1999-4915/15/3/737
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!