BioSet2Vec: extraction of k-mer dictionaries from multiple sets of biological sequences via big data technologies.

ABSTRACT:

Background

In several contexts involving large collections of sets of biological sequences, a relevant problem is that of selecting significant groups of k-mers that characterize one set with regards to the others in the same collection.

Results

Here a software framework is proposed implementing a novel methodology for the extraction of k-mer dictionaries, from multiple sets of biological sequences. It has been implemented according to the most recent technologies for Big Data analytics, with the perspective of allowing its usage with a variety of input datasets of any size. In particular, two different packages are provided. The first is BioFt, enabling the extraction of recurrent patterns based on k-mers frequency and the computation of other metrics from information retri

SUBMITTER: Galluzzo Y 

PROVIDER: S-EPMC12560420 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature