With the development of high-throughput sequencing methods, an increasing amount of sequencing data is being generated, including genomic reads, transcriptome data, and proteomic sequences. It is imperative that this huge amount of biological data be utilized effectively through the development of bioinformatics/computational methods, which will assist in identifying and understanding the biological functions of uncharacterized sequences. Using machine learning and deep-learning techniques, it is possible to extract useful patterns from large-scale data and make effective use of these patterns to formulate accurate predictions regarding the future. The field of bioinformatics has already advanced significantly in recent years due to the introduction of several novel computational frameworks combining conventional and deep learning algorithms, and rigorous feature optimization methodologies.
We invite authors to submit original research manuscripts or reviews that discuss the application of advanced machine learning algorithms to protein or genome sequence analysis.
Potential topics include, but are not limited to:
• The identification of disease markers from DNA regulatory elements
• Peptide therapeutic function prediction
• The identification of gene and RNA markers in disease using machine learning methods
• Epigenomics and disease relationship prediction
• Advanced machine learning methods with the application to bioinformatics
• Molecular network markers for disease diagnosis and therapy
• Computational genomic medicine
Assis. Prof. Balachandran Manavalan
Manuscripts should be submitted via our online editorial system at https://imr.propub.com by registering and logging in to this website. Once you are registered, click here to start your submission. Manuscripts can be submitted now or up until the deadline. All papers will go through peer-review process. Accepted papers will be published in the journal (as soon as accepted) and meanwhile listed together on the special issue website. Research articles, reviews as well as short communications are preferred. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office to announce on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts will be thoroughly refereed through a double-blind peer-review process. Please visit the Instruction for Authors page before submitting a manuscript. The Article Processing Charge (APC) in this open access journal is 2500 USD. Submitted manuscripts should be well formatted in good English.