Abstract: An ensemble predictor for characterizing uncharacterized genetic mutations is disclosed. A first set of genomic information representing a particular (e.g., harmful) mutation is obtained. The first set of genomic information is provided to a number of underlying mutation impact predictors. Predictions are obtained from the underlying predictors. The predictions predict whether the first set of genomic information represents the particular mutation. The predictions and the particular (known) mutation are provided to a logistic regression model, which provides a coefficient for each underlying predictor. A second set of (uncharacterized) genomic information is obtained. The second set of genomic information is provided to the underlying predictors. Predictions are obtained from the underlying predictors and are then weighted using the coefficients. A characterization (e.g.

Abstract: A repository of DNA sequence data is available online. A user can query the repository using a search term. Search results that are provided by the repository include information about studies, experiments, samples, and/or runs that are related to the search term. A user can select one or more of the displayed search results. Based on the user selection, the repository provides relationship(s) between the selected results and run(s). Runs may be associated with DNA sequence data. The determined relationship between the search term and any available DNA sequence data is displayed. The DNA sequence data may be obtained by the user using, for example, the FASTQ format and/or the SRA format.