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BioMedInformatics
Special Issues
Editor's Choice Series for the Computational Biology and Medicine Section
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Editor's Choice Series for the Computational Biology and Medicine Section

A special issue of BioMedInformatics (ISSN 2673-7426). This special issue belongs to the section "Computational Biology and Medicine".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 579

Special Issue Editor

Dr. Hans Binder

E-Mail Website
Guest Editor
Interdisciplinary Centre for Bioinformatics, Leipzig University, Haertelstr. 16–18, D-04107 Leipzig, Germany
Interests: genome medicine; computational biology; genomic regulation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Editor's Choice Series for the Computational Biology and Medicine Section presents an exclusive collection highlighting groundbreaking methodologies at the intersection of computational sciences and biomedical research. This curated series encapsulates a diverse spectrum of innovative techniques, tools, and approaches shaping the future of computational biology and its profound impact on medical advancements.

Encompassing fields such as genomics, systems biology, structural biology, data analytics, and machine learning, this series offers an in-depth exploration of methodologies revolutionizing our understanding of biological systems. From novel algorithms for omics data analysis to predictive modeling in precision medicine, these articles elucidate the transformative potential of computational approaches in addressing complex medical challenges.

Please note that this series will not consider submissions for brief reports, instead emphasizing comprehensive investigations and critical analyses of methodologies and their applications in computational biology and medicine.

Dr. Hans Binder
Guest Editor

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 100 words) can be sent to the Editorial Office for announcement on this website.

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. BioMedInformatics is an international peer-reviewed open access quarterly 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 1000 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

  • genomics
  • systems biology
  • structural biology
  • data analytics
  • machine learning
  • omics
  • data analysis
  • precision medicine
  • computational approaches
  • biomedical research
  • methodological innovations

Published Papers (1 paper)

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Research

13 pages, 1558 KiB  
Article
ConsensusPrime—A Bioinformatic Pipeline for Efficient Consensus Primer Design—Detection of Various Resistance and Virulence Factors in MRSA—A Case Study
by Maximilian Collatz, Martin Reinicke, Celia Diezel, Sascha D. Braun, Stefan Monecke, Annett Reissig and Ralf Ehricht
BioMedInformatics 2024, 4(2), 1249-1261; https://doi.org/10.3390/biomedinformatics4020068 - 10 May 2024
Viewed by 433
Abstract
Background: The effectiveness and reliability of diagnostic tests that detect DNA sequences largely hinge on the quality of the used primers and probes. This importance is especially evident when considering the specific sample being analyzed, as it affects the molecular background and potential [...] Read more.
Background: The effectiveness and reliability of diagnostic tests that detect DNA sequences largely hinge on the quality of the used primers and probes. This importance is especially evident when considering the specific sample being analyzed, as it affects the molecular background and potential for cross-reactivity, ultimately determining the test’s performance. Methods: Predicting primers based on the consensus sequence of the target has multiple advantages, including high specificity, diagnostic reliability, broad applicability, and long-term validity. Automated curation of the input sequences ensures high-quality primers and probes. Results: Here, we present a use case for developing a set of consensus primers and probes to identify antibiotic resistance and virulence genes in Staphylococcus (S.) aureus using the ConsensusPrime pipeline. Extensive qPCR experiments with several S. aureus strains confirm the exceptional quality of the primers designed using the pipeline. Conclusions: By improving the quality of the input sequences and using the consensus sequence as a basis, the ConsensusPrime pipeline pipeline ensures high-quality primers and probes, which should be the basis of molecular assays. Full article
(This article belongs to the Special Issue Editor's Choice Series for the Computational Biology and Medicine Section)
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