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Recent Advances in Bioinformatics: Novel Techniques, Methods, and Applications

This special issue belongs to the section “Applied Biosciences and Bioengineering“.

Special Issue Information

Dear Colleagues,

We are pleased to announce the forthcoming Special Issue, "Recent Advances in Bioinformatics: Novel Techniques, Methods, and Applications," which aims to showcase the latest research and developments in the field of bioinformatics. This Special Issue will offer a platform for researchers, scholars, and practitioners to present their innovative work, discuss novel methodologies, and share cutting-edge applications in bioinformatics.

The rapid growth in biological data generation has presented unprecedented opportunities for researchers to gain insights into complex biological systems. Bioinformatics has become a critical discipline for the analysis, interpretation, and prediction of this vast amount of data, enabling for the discovery of new biological knowledge and the development of novel therapeutic strategies.

This Special Issue invites original research articles, review articles, and short communications that focus on recent advancements in bioinformatics, including, but not limited to:

  • Novel computational algorithms and methods for biological data analysis;
  • Machine learning and artificial intelligence approaches in bioinformatics;
  • Next-generation sequencing data analysis and genome assembly;
  • Genomic variation detection, characterization, and functional analysis;
  • Gene expression and regulation analysis;
  • Protein structure prediction and functional annotation;
  • Integrative multi-omics analysis;
  • Systems biology and network analysis;
  • Metagenomics and microbiome data analysis;
  • Drug discovery and personalized medicine;
  • Computational tools and databases for bioinformatics research;
  • Emerging applications and challenges in bioinformatics.

We encourage submissions from interdisciplinary teams that combine expertise in biology, computer science, statistics, and engineering to address complex biological questions. This Special Issue aims to provide a comprehensive overview of the current state of the art in bioinformatics and inspire future research directions in this exciting field.

Dr. Peng Zhou
Dr. Chao Yang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • bioinformatics
  • computational biology
  • machine learning
  • artificial intelligence
  • next-generation sequencing
  • genomic variation
  • gene expression
  • protein structure
  • multi-omics analysis
  • drug discovery
  • personalized medicine
  • bioinformatics tools
  • databases

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Published Papers

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Appl. Sci. - ISSN 2076-3417