The HIV Sequence Database contains all published and many unpublished HIV and SIV sequences. The sequence entries are richly annotated and fully searchable through several search interfaces. Sequence analysis tools are available for analyses of …

Mar 14, 2025 · Interface allows users to search for HIV and SIV sequences based on many possible search criteria, including accession number, sequence name, subtype, country, sequence length, sequence region, patient clinical data, etc.

The HIV Database & Analysis Unit provides an integrated repository of HIV sequence and immunology published data, by curating & maintaining a relational database with searchable web access for the scientific community; and (ii) develop web-based computation analysis methods and tools for researchers.The database is located at the Los Alamos ...

Here we describe the development, validation, and field-testing of an alternative HIV-1 SGA amplicon sequencing platform based on next-generation sequencing (NGS). Unlike capillary sequencing, which allows for a maximum of 96 parallel reactions, NGS allows for millions of parallel reactions [34].

Two important databases are often used in HIV genetic research, the HIV Sequence Database in Los Alamos, which collects all sequences and focuses on annotation and data analysis, and the HIV RT/Protease Sequence Database in Stanford, which collects sequences associated with the development of viral resistance against anti-retroviral drugs and ...

Oct 4, 2022 · To identify the immunological features of HIV-1-infected patients, we performed droplet-based single-cell RNA sequencing technology (10×Genomics) of fresh PBMCs derived from 2 immune...

Here, we describe FLIP-Seq, (Full-Length Individual Proviral Sequencing) a near full-length, single-genome next-generation sequencing approach for analyzing HIV-1 DNA in human cells.

Dec 5, 2024 · This FAQ addresses questions about the HIV Sequence Database. We provide a variety of tools and information for researchers studying HIV and SIV. The main aim of this website is to provide easy access to our sequence database, alignments, and the tools and interfaces we have produced.

The application of scRNA-seq in HIV research has revealed the heterogeneity in latent and reactivated HIV-1-infected cells (60–62). It has been demonstrated that latently infected CD4+ T-cells (untreated) display two cell clusters (Cluster 1 and Cluster 2) .

For both scRNA/VDJ-seq and bulk RNA-seq samples generated in this study, INRs were defined as HIV-positive patients on ART for over 4 years, with virologic control (VL <20 copies/mL) for 3.5 years but low CD4 + counts (<350 cells/μL). IRs met the same criteria but had CD4 + counts >500 cells/μL (Figure S1). To minimize confounding factors ...