Evolutionary Bioinformatics - Libertas Academica | 2024 Impact Factor:2.6 | Cite Score:3.9 | Q2

Impact Factor and Journal Rank of Evolutionary Bioinformatics

• About: Evolutionary Bioinformatics is a peer-reviewed open-access journal that publishes research articles and reviews focusing on the application of bioinformatics tools and methodologies in evolutionary biology. It aims to explore the evolutionary processes and mechanisms underlying biological diversity using computational approaches.
• Objectives
  The primary objectives of Evolutionary Bioinformatics include:
  Advancing Evolutionary Biology: To publish research that enhances our understanding of evolutionary processes, including molecular evolution, phylogenetics, and population genetics.
  Bioinformatics Applications: To showcase the use of computational methods, algorithms, and databases in evolutionary studies and biological sequence analysis.
  Integration of Data and Methods: To promote the integration of diverse biological data sources with computational tools for evolutionary analysis.
  Methodological Innovations: To publish new methodologies and techniques that facilitate the study of evolutionary relationships and genetic variation.
• Key Topics Covered
  Evolutionary Bioinformatics covers a broad range of topics related to computational biology and evolutionary genetics, including:
• Phylogenetics and Phylogenomics: Methods for inferring evolutionary relationships and reconstructing phylogenetic trees.
  Molecular Evolution: Analysis of genetic sequences to understand evolutionary changes at the molecular level.
  Population Genetics: Computational approaches to study genetic variation within populations and species.
  Genomics and Transcriptomics: Applications of genomic and transcriptomic data in evolutionary studies.
  Evolutionary Modeling: Mathematical and computational models to simulate evolutionary processes and population dynamics.
  Comparative Genomics: Comparative analysis of genomes to identify evolutionary conserved regions and functional elements.
  Evolutionary Ecology: Integration of evolutionary biology with ecological data to understand adaptation and biodiversity.
• Impact and Significance
  Evolutionary Bioinformatics plays a crucial role in:
  Advancing Scientific Knowledge: By publishing research that contributes to the theoretical foundations and practical applications of evolutionary biology and bioinformatics.
• Methodological Development: By fostering the development of new computational tools and algorithms that facilitate evolutionary analysis.
• Biomedical and Agricultural Applications: By providing insights into evolutionary processes that impact human health, agriculture, and conservation biology.
• Interdisciplinary Collaboration: By promoting collaboration between biologists, bioinformaticians, computer scientists, and mathematicians.
• Education and Training: By serving as a resource for researchers, students, and educators interested in evolutionary biology and computational methods.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Dennis Wall

• Scope: Evolutionary Bioinformatics is a peer-reviewed open-access journal that publishes research articles, reviews, and methodologies related to the application of bioinformatics in evolutionary biology.
• The journal covers a wide range of topics within evolutionary bioinformatics, including:
• Phylogenetics: Computational methods for inferring evolutionary relationships and constructing phylogenetic trees.
• Molecular Evolution: Analysis of molecular sequences to study evolutionary processes and genetic variation.
• Genomics and Comparative Genomics: Computational analysis of genomes and comparative studies to understand genome evolution.
• Population Genetics: Bioinformatics approaches to analyze genetic variation within populations and study evolutionary forces.
• Evolutionary Genomics: Integration of genomic data with evolutionary biology to understand genome evolution across species.
• Functional Genomics: Application of bioinformatics in studying gene function and evolutionary implications.
• Adaptation and Natural Selection: Computational approaches to study adaptive evolution and natural selection.
• Evolutionary Systems Biology: Systems-level approaches to understand biological evolution and adaptation.
• Latest Research Topics for PhD in Computer Science

• Print ISSN:  1176-9343

  Electronic ISSN:  

• Abstracting and Indexing:  Scopus, Science Citation Index Expanded

• Imapct Factor 2024:  2.6

• Subject Area and Category:   Agricultural and Biological Sciences, Ecology, Evolution, Behavior and Systematics, Biochemistry, Genetics and Molecular Biology, Genetics, Computer Science, Computer Science Applications

• Publication Frequency:  

• H Index:  40

• Best Quartile:

  Q1:  

  Q2:  Ecology, Evolution, Behavior and Systematics

  Q3:  

  Q4:  

• Cite Score:  3.9

• SNIP:  0.409

• Journal Rank(SJR):  0.493

• Latest Articles:   Latest Articles in Evolutionary Bioinformatics

• Guidelines for Authors: Evolutionary Bioinformatics Author Guidelines

• Paper Submissions: Paper Submissions in Evolutionary Bioinformatics

• Publisher:  Libertas Academica Ltd.

  Country:  New Zealand

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