Next-Generation Sequencing and Whole-Genome Sequencing in Molecular Research
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Informatics".
Deadline for manuscript submissions: 20 September 2024 | Viewed by 1157
Special Issue Editor
2. Food Science and Nutrition Department, Illinois Institute of Technology, Chicago, IL 60616, USA
Interests: gene and genome evolution; gene transfers (HGT & EGT); organelle genome, transcriptome, proteome; organelle metabolism; evolution of biochemical pathways; endosymbiosis; reductive evolution; evolutionary history of eukaryotes; evolution of pathogenicity; food safety and microorganisms
Special Issue Information
Dear Colleagues,
Since its emergence approximately two decades ago, High-Throughput or Next-Generation Sequencing (HTS/NGS) has continuously advanced, significantly influencing a wide array of scientific disciplines, including biology, genetics, genomics, physiology, ecology, chemistry, and biochemistry. Researchers and practitioners worldwide, working in governmental, academic, and industrial sectors, have adopted this technology as an essential tool for unraveling profound scientific inquiries, as well as in response to the serious challenges of our times that have tremendous implications for human health and the well-being of plants, animals, and even our planet.
HTS is a fast-moving technology characterized by ongoing improvements in quality, length, depth, and the number of sequences, complemented by innovative breakthroughs in biochemistry, design, and engineering. These developments have led to the introduction of more powerful instruments with increasing throughput power year by year. The numerous applications of HTS, such as Whole-Genome Sequencing (WGS), RNA-Seq, and Amplicon or Shotgun Mass Sequencing, have greatly contributed to the advancement of metagenomics, transcriptomics, proteomics, metabolomics, and phylogenomics, fostering the rapid development of novel investigative, diagnostic, and analytical methods, thus harnessing the full potential of this transformative technology.
Finally, HTS has become one of the main contributors to ‘big data’, a valuable resource for predictive modeling through the application of machine learning and artificial intelligence (AI). In this Special Issue, we cordially invite you to share your HTS-based research and review papers, emphasizing your latest discoveries and the transformative power and influence of this technology, as well as its numerous applications within varied domains of study and organizations.
Dr. Behzad Imanian
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.
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Keywords
- high-throughput sequencing
- whole-genome sequencing
- big data
- machine learning
- artificial intelligence
- predictive modeling
- transformative technology
- investigative and diagnostic tools
