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Dataset Description
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# Dataset Summary
This dataset was derived from the Los Alamos National Laboratory HIV sequence (LANL) database.
It contains the most recent version (2016-Full-genome), composed of 1,609 high-quality full-length genomes.
The genes within these sequences were processed using the GeneCutter tool and translated into corresponding amino acid sequences using the BioPython library Seq.translate function.
Supported Tasks and Leaderboards: None
Languages: English
Dataset Structure
Data Instances
Each column represents the protein amino acid sequence of the HIV genome.
The ID field indicates the Genbank reference ID for future cross-referencing.
There are 1,609 full length HIV genomes.
Data Fields: ID, gag, pol, env, nef, tat, rev, proteome
Data Splits: None
Dataset Creation
Curation Rationale: This dataset was curated to train a model (HIV-BERT) designed to predict a variety of sequence-dependent features regarding HIV.
Initial Data Collection and Normalization: Dataset was downloaded and curated on 12/21/2021.
Considerations for Using the Data
Social Impact of Dataset: This dataset can be used to study sequence-dependent features of HIV, a virus that has claimed the lives of many individuals globally in the last few decades.
Discussion of Biases: This dataset was derived from the Los Alamos National Laboratory HIV sequence (LANL) database full genome database and contains a representative sample from each subtype and geographic region.
Additional Information:
- Dataset Curators: Will Dampier
- Citation Information: TBA |