EpiMolBio: A novel user-friendly bioinformatic program for genetic variability analysis.

IF 4.1 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Computational and structural biotechnology journal Pub Date : 2025-06-26 eCollection Date: 2025-01-01 DOI:10.1016/j.csbj.2025.06.034
Roberto Reinosa, Paloma Troyano-Hernáez, Ana Valadés-Alcaraz, África Holguín
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引用次数: 0

Abstract

Purpose: Genetic sequence analysis has become essential in many fields of medicine, biology, and epidemiology. However, the currently available tools can pose a challenge for users without advanced computational skills.

Results: We present EpiMolBio (https://www.epimolbio.com), 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 identification of genome mutation or amino acid changes, including specialized tools for HIV and SARS-CoV-2 analysis.

EpiMolBio:一个新的用户友好的生物信息学程序,用于遗传变异分析。
目的:基因序列分析在医学、生物学和流行病学的许多领域都是必不可少的。然而,目前可用的工具可能对没有高级计算技能的用户构成挑战。结果:我们提出了EpiMolBio (https://www.epimolbio.com),这是一个免费使用的软件,设计具有直观,用户友好的界面,使广泛的用户能够探索遗传变异。其多样化的工具包包括序列处理、保存和变异性分析、共识序列生成以及基因组突变或氨基酸变化的鉴定,包括用于艾滋病毒和SARS-CoV-2分析的专门工具。
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来源期刊
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
期刊介绍: Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology
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