Welcome to HIVIntact’s documentation!

HIVIntact is a python-based program that characterises genomic defects in NFL HIV-1 sequences, allowing putative intact genomes to be identified in-silico.

HIVIntact stands out from other applications in its ability to seamlessly integrate into existing sequence-analysis pipelines. This makes it an ideal tool for analyzing large next-generation sequencing datasets. By incorporating HIVIntact into your workflow, you can:

• Identify intact genomes: HIVIntact utilizes algorithms for identification of intact genomes within NFL HIV-1 sequences.
• Enhance efficiency: By integrating HIVIntact into your existing sequence-analysis pipelines, you can streamline your workflow and save time.
• Scale up: HIVIntact is designed to handle large next-generation sequencing datasets, allowing you to analyze vast amounts of data with ease.

Getting Started

To start using HIVIntact, please refer to the following sections:

• Inputs and Outputs: Learn about the supported input formats and the output generated by HIVIntact.
• Workflow: Understand the step-by-step logic of HIVIntact.