FUNCTIONAL & INTEGRATIVE GENOMICS
Scope & Guideline
Unraveling the Complexities of Functional Genomics
Introduction
Aims and Scopes
- Genomic and Transcriptomic Analysis:
The journal publishes studies that utilize genomic and transcriptomic data to explore gene functions, regulatory mechanisms, and the impact of genetic variations on phenotypic traits. - Integrative Multi-Omics Approaches:
It emphasizes the integration of various omics data (genomics, transcriptomics, proteomics, metabolomics) to gain a comprehensive understanding of biological systems and their interactions. - Focus on Non-Coding RNAs:
Significant attention is dedicated to the roles of non-coding RNAs, including long non-coding RNAs (lncRNAs) and microRNAs, in gene regulation and disease mechanisms. - Molecular Mechanisms in Disease:
Research articles often address the molecular pathways implicated in diseases, particularly cancer, cardiovascular diseases, and metabolic disorders, linking genomic alterations to clinical outcomes. - Application of Advanced Technologies:
The journal showcases innovative methodologies such as CRISPR/Cas9 genome editing, machine learning, and bioinformatics tools used for genomic analysis and therapeutic development.
Trending and Emerging
- Cancer Genomics and Therapeutics:
There is a significant increase in research focusing on the genomic characterization of various cancers and the exploration of therapeutic targets, particularly involving non-coding RNAs and epigenetic modifications. - Machine Learning in Genomics:
The application of machine learning techniques for analyzing genomic data and predicting clinical outcomes is rapidly growing, highlighting a trend towards computational biology and data-driven insights. - Microbiome and Host Interaction Studies:
Research exploring the interactions between host genomes and microbiomes is emerging, indicating a growing interest in understanding the role of microbiota in health and disease. - CRISPR and Genome Editing Applications:
The use of CRISPR technology for genome editing in both model organisms and agricultural species is trending, showcasing its potential for functional genomics and biotechnology. - Long Non-Coding RNAs in Disease Mechanisms:
Studies investigating the roles of long non-coding RNAs in various diseases, particularly cancer and metabolic disorders, are on the rise, reflecting an increased understanding of their regulatory functions.
Declining or Waning
- Traditional Genetic Mapping:
Studies relying solely on conventional genetic mapping techniques are becoming less frequent, as there is a shift towards more integrative approaches that combine genomic data with functional insights. - Basic Phenotypic Characterization:
Research that focuses primarily on basic phenotypic characterization without linking to genomic or molecular data is increasingly being overshadowed by studies that provide deeper functional analyses. - Single-Omics Studies:
There is a noticeable decline in publications focusing on single-omics approaches. Instead, the trend is moving towards multi-omics analyses that provide a more comprehensive view of biological processes. - In Vitro Studies without In Vivo Validation:
Research that does not incorporate in vivo validation of findings is becoming less common, as the emphasis shifts towards studies that demonstrate clinical relevance and applicability. - Descriptive Studies on Gene Functions:
Descriptive studies that merely catalog gene functions without exploring their implications in broader biological contexts are waning, as there is a growing demand for studies that elucidate the functional impacts of genetic variations.
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