Aims

Journal of Intelligent and Integrated Biological Systems (JIIBS) is an international, peer-reviewed, open-access journal dedicated to advancing system-level understanding of biological phenomena through integrative and analytical approaches. The journal addresses how biological systems are analysed, interpreted, and compared when information is derived from multiple data sources, organisational levels, or experimental contexts.

The journal treats biology not as a collection of isolated molecular components or single experimental outputs, but as interconnected systems shaped by interactions among genes, cells, organisms, populations, and their environments. It emphasises research that adopts explicit system representations to examine biological organisation, function, and variability across scales.

JIIBS places particular emphasis on the analytical and methodological foundations of integrative bioscience. This includes how heterogeneous biological data are combined, how biological networks or system models are constructed and evaluated, how uncertainty and variability are handled, and how conclusions remain robust under different modelling assumptions or analytical choices.

At the same time, the journal recognises that important advances in biological understanding may arise not only from methodological innovation, but also from the rigorous and transparent application of established integrative and intelligent approaches to biologically significant problems. Studies that employ mature or well-founded analytical frameworks are therefore welcomed, provided that system definition is clear, integration logic is explicit, and the resulting biological insights are substantive and well supported.

Submissions are expected to clearly define the biological system under investigation, articulate the rationale for integration or modelling strategies, and demonstrate how system-level analysis informs biological interpretation. Studies that are primarily descriptive, or that apply generic computational tools without explicit biological-system reasoning, fall outside the scope of the journal.

JIIBS provides a forum for interdisciplinary research at the intersection of systems biology, bioinformatics, quantitative genetics, and related biological sciences, where analytical structure and system coherence remain central. The journal publishes conceptual, methodological, computational, and applied studies that contribute to reproducible, interpretable, and analytically grounded biological research.

The journal is published quarterly by Acadlore and follows a structured peer-review process to ensure clarity of argument, transparency of methods, and consistency in editorial evaluation.

Key features of JIIBS include:

The journal addresses biological questions through an explicit systems and integration perspective, rather than focusing on isolated biomarkers, single datasets, or narrowly defined experimental observations;
It emphasises intelligent and integrative analysis of biological systems, with particular attention to how data, models, and assumptions jointly shape biological interpretation;
The journal values contributions that present clear analytical or modelling frameworks, supported by explicit assumptions, methodological justification, and systematic evaluation;
Research that advances robustness, reproducibility, and interpretability in integrative biological analysis is encouraged, whether through methodological development or through exemplary application of established approaches;
Application-driven studies are welcomed where the integrative framework and system reasoning remain central and where biological insight extends beyond descriptive findings;
The editorial and review process emphasises methodological transparency, clarity of system definition, and reproducibility, enabling published work to be critically assessed and meaningfully reused.

Scope

JIIBS welcomes original research articles, theoretical contributions, systematic reviews, and well-documented empirical or computational studies that provide analytical insight into intelligent and integrated biological systems. Topics of interest include, but are not limited to, the following areas.

Biological Systems Integration

Integration of genomic, transcriptomic, proteomic, metabolomic, epigenomic, or phenotypic data
Genotype–phenotype relationships examined through system-level or integrative frameworks
Cross-platform and cross-study data integration and comparability
Integration of experimental observations with statistical or mechanistic models

Systems Modelling and Network Analysis

Construction and analysis of biological networks and pathways
System dynamics, agent-based, and network-based models of biological processes
Hybrid modelling approaches combining mechanistic knowledge and data-driven inference
Model identifiability, sensitivity, and uncertainty analysis in biological systems

Intelligent Inference and Analytical Robustness

Probabilistic and Bayesian approaches in integrative bioscience
Robustness, stability, and uncertainty analysis of biological conclusions
Predictive modelling with emphasis on interpretability and system relevance
Benchmarking and evaluation of integration or modelling strategies

Quantitative Genetics and System-Oriented Applications

Genetic diversity and population structure analysis using integrated data
System-level approaches to molecular breeding and selection
Multi-trait and multi-environment modelling of biological performance
Analysis of interaction effects, including genotype–environment relationships

Evaluation and Methodological Reflection

Validation and generalisation of integrative biological models
Comparative analysis of analytical assumptions and modelling choices
Reproducibility and transparency in integrative bioscience workflows
Critical examination of limitations in system-level biological analysis