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BioinformaticsComputational and Structural Biotechnology Journal
Peer-reviewed journal article

EpiMolBio: A Novel User-Friendly Bioinformatic Program for Genetic Variability Analysis

Roberto ReinosaiD, Paloma Troyano-HernáeziD, Ana Valadés-AlcaraziD, África HolguíniD

Abstract

MotivationGenetic sequence analysis has become essential in many medicine, biology, and epidemiology fields. However, the currently available tools can pose a challenge for users without advanced computational skills. ResultsWe present EpiMolBio, a free-to-use software designed with an intuitive, user-friendly interface that enables a broad spectrum of users to explore genetic variability. Its diverse toolkit encompasses sequence processing, conservation and variability analysis, consensus sequence generation, and genome mutation or amino acid changes identification, including specialized tools for HIV and SARS-CoV-2 analysis. AvailabilityFreely available on the web at https://www.epimolbio.com and https://github.com/EpiMolBio/EpiMolBio. Contactafrica.holguin@salud.madrid.org; roberto117343@gmail.com Supplementary informationSupplementary Table 1, 2, and Supplementary Text 1.

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