GRAMEP: an alignment-free method based on the maximum entropy principle for identifying SNPs.

ABSTRACT:

Background

Advances in high throughput sequencing technologies provide a huge number of genomes to be analyzed. Thus, computational methods play a crucial role in analyzing and extracting knowledge from the data generated. Investigating genomic mutations is critical because of their impact on chromosomal evolution, genetic disorders, and diseases. It is common to adopt aligning sequences for analyzing genomic variations. However, this approach can be computationally expensive and restrictive in scenarios with large datasets.

Results

We present a novel method for identifying single nucleotide polymorphisms (SNPs) in DNA sequences from assembled genomes. This study proposes GRAMEP, an alignment-free approach that adopts the principle of maximum entropy to discover the most inf

SUBMITTER: Pimenta-Zanon MH 

PROVIDER: S-EPMC11863517 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature