About the Journal

The Journal of Agricultural Biotechnology and Bioinformatics (JABB) is an international, peer-reviewed, open-access journal dedicated to publishing high-quality research that applies molecular biology, computational tools, and data-driven technologies to advance modern agriculture.
JABB provides a forum for integrating biotechnology, genomics, bioinformatics, and artificial intelligence to solve critical challenges in crop improvement, pest management, food security, and sustainable resource use.

The journal bridges the gap between experimental biology and digital agriculture — promoting the translation of omics discoveries and computational insights into tangible innovations that enhance productivity, resilience, and environmental sustainability in agricultural systems.

Mission and Vision

Mission:
To promote scientific innovation at the interface of biotechnology and computational biology by publishing impactful research that enhances agricultural productivity, genetic improvement, and sustainability through molecular and data-centric approaches.

Vision:
To establish JABB as a global leader in agricultural biotechnology publishing — advancing cross-disciplinary collaboration among life scientists, data scientists, and agronomists — in alignment with UN Sustainable Development Goals (SDG 2: Zero Hunger, SDG 12: Responsible Consumption and Production, and SDG 13: Climate Action).

Scope and Coverage

The Journal of Agricultural Biotechnology and Bioinformatics welcomes original research papers, reviews, and technical notes covering (but not limited to) the following areas:

  • Genomics, transcriptomics, proteomics, and metabolomics in crops and livestock
  • Genome editing and genetic transformation (CRISPR/Cas, RNAi, etc.)
  • Bioinformatics algorithms, pipelines, and data visualization in agriculture
  • Molecular breeding, marker-assisted and genomic selection
  • AI, machine learning, and deep learning in precision agriculture
  • Systems biology and computational modeling of plant–microbe interactions
  • Metagenomics and microbial community analysis in soil and rhizosphere studies
  • Bioinformatics databases, tools, and data repositories for agricultural research
  • Synthetic biology and bioproduct development for sustainable farming
  • Climate adaptation, stress physiology, and modeling of genetic resilience

JABB encourages submissions that combine experimental molecular work with computational modeling and big data analytics, leading to actionable solutions for food production and environmental conservation.

Publication Frequency and Format

JABB is published quarterly (March, June, September, and December) and follows a continuous publication model for timely dissemination.
All articles are published online under the Creative Commons Attribution License (CC BY 4.0), allowing unrestricted reuse with proper citation.
Each article receives a Digital Object Identifier (DOI) via Crossref to ensure global discoverability and citation permanence.

Editorial and Peer-Review Policy

All manuscripts submitted to JABB undergo double-blind peer review by at least two qualified experts in the relevant domain.
The editorial board includes eminent scientists from biotechnology, computational biology, and agricultural engineering, ensuring an interdisciplinary perspective on each submission.

Editorial decisions are based solely on scientific quality, originality, and contribution to the journal’s aims and scope. The journal adheres to ethical standards established by COPE, ICMJE, and DOAJ.

Open Access and Ethical Standards

JABB operates under a gold open-access model, ensuring global availability of published content without financial or institutional barriers.
The journal enforces strict ethical practices by ensuring:

  • No tolerance for plagiarism or data manipulation
  • Transparent reporting of funding sources and conflicts of interest
  • Ethical approval for experiments involving transgenic organisms or living systems
  • Clear policies for data sharing, corrections, and retractions

JABB supports open science principles and encourages authors to deposit datasets and code in public repositories for transparency and reproducibility.

Indexing and Archiving

JABB ensures permanent access and digital preservation through:

  • PKP Preservation Network (PKP PN) and LOCKSS/CLOCKSS
  • Indexing and metadata submission to Crossref, Google Scholar, BASE, and Dimensions
    Applications to DOAJ, CAB Abstracts, and Scopus are in process.

Intended Audience

The journal is designed for a broad international readership, including:

  • Biotechnologists, bioinformaticians, and geneticists
  • Computational biologists and data scientists
  • Agronomists, plant breeders, and environmental modelers
  • Academic researchers and postgraduates in life and data sciences
  • Agricultural innovators, biotech companies, and policy professionals

Through its interdisciplinary focus, JABB aims to accelerate innovation in biotechnology-driven agriculture and promote data-informed solutions for a sustainable global food system.