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Session 104-Poster Abstracts Genetics and Phylogenetics of HIV Transmission Tuesday, 2-4 pm; Poster Hall       568 Phylogenetics among Friends: Comparing HIV-1 Transmission Clusters to Social Network Based Recruitment: El Salvador Ann Dennis*1, W Murillo2, F de Maria Hernandez3, ME Guardado4, AI Nieto5, S Delgado3, IL de Rivera2, J Eron1, and G Paz-Bailey3 1Univ of North Carolina at Chapel Hill, US; 2Natl Autonomous Univ of Honduras, Tegucigalpa; 3Del Valle Univ of Guatemala, Guatemala City; 4Tephinet Inc, Atlanta, GA, US; and 5Natl HIV Prgm, Ministry of Hlth, San Salvador, El Salvador       569 Single-molecule Complete HIV-1 Genome Sequencing from 2 Linked Transmission Pairs Malinda Schaefer*1, M Brown2, W Kilembe3, S Allen1, Y Guo2, E Hunter1, and E Paxinos2 1Emory Univ, Atlanta, GA, US; 2Pacific Biosci, Menlo Park, CA, US; and 3Zambia-Emory HIV Res Project, Lusaka       570 Deep Sequencing to the Rescue: Sorting Out Sequentially Expressed Dual Infections from Superinfection Gordon Bentley*1, T Liegler2, J McConnell1, A Holloway3, K Eilertson3, F Hecht2, and R Grant1,2 1Gladstone Inst of Virology and Immunology, Univ of California, San Francisco, US; 2Univ of California, San Francisco, US; and 3Gladstone Inst of Cardiovascular Disease, Univ of California, San Francisco, US       571 Evidence of Transmitted Multiple Low-frequency Drug-resistant HIV Detected during Acute Infection J Lipscomb, M Owen, and Jeffrey Johnson* CDC, Atlanta, GA, US       572 Longitudinal Determination of Co-receptor Usage Using Ultra-deep Pyrosequencing Charlotte Hedskog*1, J Jernberg1, J Albert1,2, and M Mild1 1Karolinska Inst, Stockholm, Sweden and 2Karolinska Univ Hosp, Stockholm, Sweden       573 HIV-1 CXCR4 Co-receptor Tropism in Primary and Dual Infection Estimated with Ultra-deep Pyrosequencing Gabriel Wagner*1, S Gianella1, M Pacold2, S Kosakovsky Pond1, E Vigil1, S Little1, S Morris1, D Richman1,3, and D Smith1,3 1Univ of California, San Diego, La Jolla, US; 2Stanford Univ, CA, US; and 3VA San Diego Hlthcare System, CA, US       574 OCCAMS: An Open Source Clinical Content Analysis and Management System and Its Application to HIV Primary Infection Research Jason Young*1, D Mote1, M Martinez1, J Mueller1, S Weaver1, D Smith1,2, D Richman1,2, S Little1, and S Kosakovsky Pond1 1Univ of California, San Diego, La Jolla, US and 2VA San Diego Hlthcare System, CA, US