Incorporating Within-Host Diversity in Phylogenetic Analyses for Detecting Clusters of New HIV Diagnoses.
Saved in:
| Title: | Incorporating Within-Host Diversity in Phylogenetic Analyses for Detecting Clusters of New HIV Diagnoses. |
|---|---|
| Authors: | Guang A; Center for Computational Biology of Human Disease, Brown University, Providence, RI, United States.; Center for Computation and Visualization, Brown University, Providence, RI, United States., Howison M; Research Improving People's Lives, Providence, RI, United States., Ledingham L; Division of Infectious Diseases, The Alpert Medical School, Brown University, Providence, RI, United States., D'Antuono M; Division of Infectious Diseases, The Alpert Medical School, Brown University, Providence, RI, United States., Chan PA; Division of Infectious Diseases, The Alpert Medical School, Brown University, Providence, RI, United States., Lawrence C; Division of Applied Mathematics, Brown University, Providence, RI, United States., Dunn CW; Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, United States., Kantor R; Division of Infectious Diseases, The Alpert Medical School, Brown University, Providence, RI, United States. |
| Source: | Frontiers in microbiology [Front Microbiol] 2022 Feb 17; Vol. 12, pp. 803190. Date of Electronic Publication: 2022 Feb 17 (Print Publication: 2021). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101548977 Publication Model: eCollection Cited Medium: Print ISSN: 1664-302X (Print) Linking ISSN: 1664302X NLM ISO Abbreviation: Front Microbiol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!