Application of Bioinformatics in Microbiome—2nd Edition
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Microbial Genetics and Genomics".
Deadline for manuscript submissions: 20 July 2025 | Viewed by 228
Special Issue Editor
Interests: microbiome research; next-generation sequencing; gene markers; genomics; meta-genomics; meta-transcriptomics; bioinformatics analysis; artifical intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The microorganisms found in a particular environment and their activities are collectively referred to as the microbiome. The advances in sequencing technologies have enabled new means of studying microbiomes; it is now possible to answer the questions of “what is there?”, “what can they do?”, and “what are they doing?” concerning a particular habitat by sequencing its marker genes, meta-genomes, and meta-transcriptomes, respectively. With high-throughput next-generation sequencing (NGS), there has been an explosion of sequencing data, which require novel and efficient computing algorithms, software, and pipelines to process, manage, and interpret their embedded information. Bioinformatics is an interdisciplinary field of science that combines biology, computer science, informatics, mathematics, and statistics to analyze and interpret biological and clinical data. Bioinformatics is not only crucial but essential to extracting meaningful information from cryptic NGS data.
This Special Issue aims to demonstrate the latest developments in bioinformatics in the NGS era that have helped advance our understanding of the microbiome. This second version of this Special Issue also encompasses bioinformatics tools, algorithms, and computing platforms for multi-omics microbiome research. The Issue’s scope includes, but is not limited to, the following topics:
- New or improved next-generation sequencing (NGS) technologies that accelerate microbiome research;
- New or improved omics and multi-omics technologies that accelerate microbiome research;
- New computing algorithms for analyzing NGS and omics data;
- Data management platforms (online or standalone desktop databases) for microbiome data;
- Pipeline development (a collection of analytic software streamlined from upstream to downstream applications);
- Bioinformatics application in the cloud platform;
- Artificial intelligence (AI) in microbiome research;
- New microbiome research discovery, both medical and non-medical, with a significant bioinformatics component;
- Reviews of the above applications.
Dr. Tsute Chen
Guest Editor
Manuscript Submission Information
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Keywords
- microbiome
- microbiota
- next-generation sequencing
- genomics
- meta-genomics
- meta-transcriptomics
- taxonomy
- artificial intelligence
- bioinformatics
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