Publishing Policies

Decoding genetic information through gene sequencing, epigenomics, transcriptomics, etc.  and using visual tools to interpret complex genomic data

online tools and resources for analyzing biological data, facilitating computational research and data-driven insights

essential technologies, tools and databases for in-depth genetic analysis and data interpretation

Artificial intelligence (AI) applications in genomics and pathology informatics, including “Generative AI"

Mathematical modeling in biological systems, including drug delivery and discovery

complex interactions among molecules in biological systems to comprehend their emergent properties and regulatory mechanisms

Investigating molecular structures and their functional implications through the field of structural biology and molecular modeling

pertaining to the identification, design, and refining of potential therapeutic compounds for medical applications

genetic landscapes of microorganisms and their complex ecosystems

Cancer Genomic Data Analysis and its role in understanding the genetic complexities underlying various types of cancer

To understand immune responses, predict immune epitopes, and design vaccines or therapies; gain insights into disease mechanisms, identify potential therapeutic targets, and develop personalized medicine approaches.

Insights on SARS-CoV-2 sequence, evolutionary relationships, mutation patterns, vaccine development, and lineage identification.

A commentary is published alongside other articles published in JMIR Publications journals. Commentaries are typically invited. Unsolicited commentaries may be considered at the discretion of the editor. They may or may not be peer-reviewed. Articles submitted as a commentary should offer thoughtful criticism of published work, drawing from evidence, expertise, and/or additional perspectives.