RNA Biology: From Genome to Therapeutic Targets
A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Molecular and Translational Medicine".
Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 3752
Special Issue Editors
Interests: biological data analysis (scRNA, RNA-Bulk); genomics; proteomics; transcriptomics; NGS data analysis; machine learning; computational drug design; in-silico pharmacokinetic studies; biological database development
Special Issues, Collections and Topics in MDPI journals
Interests: computational genomics; machine learning; immunology; cancer
Special Issue Information
Dear Colleagues,
Biological data analysis of RNA (ribonucleic acid) is a crucial aspect of modern molecular biology research, as RNA plays key roles in gene expression and regulation. The analysis of RNA data aims to understand gene expression patterns, detect changes in gene expression levels, and identify novel RNA species and post-transcriptional modifications.
Advances in high-throughput sequencing technologies have greatly expanded the body of RNA data available for analysis, providing a wealth of information about the transcriptomes. However, analysing this large body of data can be challenging, as it requires the development of sophisticated computational tools and algorithms. The current frontiers of RNA data analysis include the development of methods for the detection of differential gene expressions and the identification and characterization of novel RNA species, including non-coding RNAs, long non-coding RNAs, and circular RNA, additionally enabling the detection of new microbiome species using 16sRNA. New techniques, such as single-cell RNA sequencing, have enabled the analysis of gene expression on the single-cell level, providing a more detailed and accurate picture of gene expression patterns, with single-cell RNA sequencing being most recent technology to be widely used in cancer studies (not limited) to explore the microenvironments of tumour cells.
Overall, the analysis of RNA data is a rapidly evolving field, with new techniques and methods being developed in order to better understand gene expression and regulation. The results of these studies have important implications for our understanding of biological processes, the development of new therapies, and the diagnosis and treatment of diseases.
For this Special Issue, we invite authors to submit original research and review manuscripts aiming to present the most recent advances in RNA biological data analysis.
Dr. Yogesh Kumar
Dr. Sugandh Kumar
Dr. Bharati Mehani
Guest Editors
Manuscript Submission Information
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Keywords
- RNA
- decoding
- single-cell RNA
- non-coding RNA
- SiRNA
- 16sRNA
- RNA data analysis
- microbiome
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