Genomic Implications for Diagnosis and Treatment of Future Diseases

  in Special Issue   Posted on April 28, 2020

Information for the Special Issue

Submission Deadline: Mon 31 Aug 2020
Journal Impact Factor : 1.652
Journal Name : BioSystems
Journal Publisher:
Website for the Special Issue: https://www.journals.elsevier.com/biosystems/call-for-papers/special-issue-on-genome
Journal & Submission Website: https://www.journals.elsevier.com/biosystems

Special Issue Call for Papers:

Whole-genome sequences are now achievable within days and available for multiple pathogens, including those that cause neglected tropical diseases, which has advanced our understanding of the biology and evolution of pathogens. Crucially, such research has enabled important advances in the clinical management of infectious diseases, and continues to guide public health interventions worldwide.

It has been widely accepted that genome analysis has great potential to explain the causes of diseases and to eventually increase our quality of life. Since the completion of the first human genome sequencing in 2003, our understanding of the human genome, including genetic variations that are responsible for phenotypic diversity between individuals, has been enormously elevated. Based on the precise understanding of our genome, a number of new technologies, such as CRISPR-Cas genome editing, have been developed and adopted for diverse clinical genome studies. In particular, the advent of next generation sequencing (NGS) technology has accelerated the expansion of genome research and clinical translation of personal genome analysis, which enables the practice of precision medicine.

In recent past single-cell RNA sequencing (scRNA-seq) technologies have enabled the large-scale whole-transcriptome profiling of each individual single cell in a cell population. Compared to a large number of cells together, single-cell analysis can provide detailed information of each cell, which could assist in developing our understanding of the specific biological context of cells, such as tumour progression or issues around stem cells.

Many researchers use also various machine learning and statistical methods for clustering single-cell RNA-sequencing data Currently, the screening of druggable target mutations serves as routine laboratory tests for cancer patients in many hospitals worldwide conducting concrete research for evaluating and improving interpretability of artificial intelligence/machine learning models for both providers and patients. More efficient and cost effective mutation screening using NGS-based gene panel analysis targeting disease-related genes is becoming more popular in clinics.

Potential topics include but not limited to

All accepted articles will be part of a special issue of the journal Biosystems.

The deadline for manuscript submissions is August 31, 2020 with publication in early 2021.

Guide for author page:
https://www.elsevier.com/journals/biosystems/0303-2647/guide-for-authors

Authors interested in participating in this special issue are requested to provide a tentative title and authorship to the guest editors before April 30, 2020. Manuscripts will be peer-reviewed following standard BioSystems journal procedures. All communications on manuscript submission and peer reviewing will be handled electronically within the Elsevier Editorial Manager. Upon manuscript submission, please indicate that your manuscript is prepared for the special issue on Genome Implications for Diagnosis and Treatment of Future Diseases.

Please direct questions to any of Special Issue Editors or to the Editor-in-Chief. 

Special Issue Editors: 

Dr. Young Ho Kim (Pohang University of Science and Technology – POSTECH, Department of Mathematics, South Korea) (yhkim@postech.re.kr

Dr. Anand Paul (Kyungpook National University, Department of Computer Science and Engineering, South Korea) (anand@knu.ac.kr)

Editor-in-Chief: Dr. Abir U. Igamberdiev (igamberdiev@mun.ca)

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