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Research & Reviews: A Journal of Bioinformatics

rrjobi | E-ISSN: 2393-8722 | Peer-Reviewed | Hybrid Open Access

About the Journal

[2393-8722(e)] is an interdisciplinary peer-reviewed open access journal launched in 2014 serving in fields involving Biology, Computer Science and Statistics. This Journal focuses on the Research, Review works, and recent developments in the area of Bioinformatics, and its applications.

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Research & Reviews: A Journal of Bioinformatics [2393-8722(e)] is an interdisciplinary peer-reviewed open access journal launched in 2014 serving in fields involving Biology, Computer Science and Statistics. This Journal focuses on the Research, Review works, and recent developments in the area of Bioinformatics, and its applications.

Journal Information

Title:
Research & Reviews: A Journal of Bioinformatics
Abbreviation:
rrjobi
Issues Per Year:
3 Issues
Publisher:
116314
DOI:
10.37591/RRJoBI
Starting Year:
2014
Subject:
Language:
English
Publication Format:
Hybrid Open Access
Copyright Policy:
CC BY-NC-ND
Type:
Peer-reviewed Journal (Refereed Journal)
Address:

Editorial Board

View Full Editorial Board

rrjobi maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Afroz Alam, Professor

Karunya University, Coimbatore, Tamil Nadu,

Email :

Institutional Profile Link:

Journal: Research & Reviews: A Journal of Bioinformatics

Latest Articles

Physics-Informed Generative and Tensor-Based Framework for DNA Sequence Simulation and Genomic Structure Discovery

In this paper, we explore the intersection of artificial intelligence (AI) and mathematical physics to propose advanced methods for DNA sequence generation and analysis.

Artificial intelligence, Generative Adversarial Networks, Tensor Decomposition, DNA Sequence Generation, Deep Generative Models

AI - Based Early Diagnosis & Prevention of Diabetes

The worldwide burden of Diabetes Mellitus especially Type 2 diabetes (T2D) has escalated to a critical level.

Diabetes Mellitus, Type 2 Diabetes (T2D), Early Diagnosis, Artificial Intelligence, Machine Learning, Random Forest, Explainable AI, SHAP, LIME, Predictive Analytics, Lifestyle Risk Factors, Personalized Prevention.

Diabetes Risk & Al Nutrition Assistant

The rising prevalence of diabetes mellitus has emerged as a major global health challenge.

AI nutrition assistant, diabetes prediction, dietary recommendations, machine learning, predictive analytics, preventive healthcare

Computational and Molecular Aspects of DNA Profiling in Forensic and Biomedical Sciences

DNA profiling has changed many diverse modern sectors, from health and criminal justice to ancestry research and animal conservation.

Ethical issues, forensic science, genetic identification, modern biotechnology, personalized medicine

Path Lab-AI: An Autonomous Framework for Error-Free Histopathology Slide Interpretation

Path Lab-AI represents a fully autonomous platform for the analysis of histopathology slides with circumscribed structures, designed to obtain highly accurate results using diagnostic methods and avoiding the usual limitations of standard microscopy-based pathology.

Artificial intelligence, CNN, deep learning, digital pathology, histopathology, vision transformer, whole slide imaging (WSI)

Identification of Hub Genes and Enriched Gene Ontology & Pathways in Idiopathic Pulmonary Fibrosis Through Bioinformatics Approaches

Idiopathic Pulmonary Fibrosis (IPF) is a progressive interstitial lung disease marked by aberrant remodeling of lung tissue and excessive extracellular matrix deposition, ultimately leading to respiratory failure.

Bioinformatics, differentially expressed genes, hub genes, idiopathic pulmonary fibrosis, protein–protein interaction, STRING

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