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Impact Factor
2.5
5 year Impact Factor
3.4

Editor-in-Chief

Paul J. Hurd

Consulting Editor

Andrew J. Bannister

Briefings in Functional Genomics is now fully open access

As of January 1, 2025, Briefings in Functional Genomics is fully open access. As a gold OA journal, we will be compliant with the growing number of funder, institutional, and national mandates.

You can learn more about the change and what it means here.

Latest articles

Protocol Article
VirusImmu: a novel ensemble machine learning approach for viral immunogenicity prediction
Jing Li and others
The viruses threats provoke concerns regarding their sustained epidemic transmission, making the development of vaccines particularly important. In the prolonged and costly process of vaccine development, the most important initial step is to identify protective immunogens. Machine learning (ML) approaches are productive ...
Review Paper
Enhancer RNA in cancer: identification, expression, resources, relationship with immunity, drugs, and prognosis
Ruijie Zhang and others
Enhancer RNA (eRNA), a type of non-coding RNA transcribed from enhancer regions, serves as a class of critical regulatory elements in gene expression. In cancer biology, eRNAs exhibit profound roles in tumorigenesis, metastasis, and therapeutic response modulation. In this review, we outline eRNA identification methods ...
Protocol Article
Pregnancy-specific glycoproteins as potential drug targets for female lung adenocarcinoma patients
Jung Hun Oh and others
Recently, the mRNA presence of pregnancy-specific glycoproteins (PSGs) in cancer biopsies has been shown to be associated with poor survival. Given the pregnancy-related function of PSGs, we hypothesized that PSGs might act in a sex-dependent behavior in cancer patients. A differential sex effect of PSG genes with respect ...
Protocol Article
EnsembleSE: identification of super-enhancers based on ensemble learning
Wenying He and others
Super-enhancers (SEs) are typically located in the regulatory regions of genes, driving high-level gene expression. Identifying SEs is crucial for a deeper understanding of gene regulatory networks, disease mechanisms, and the development and physiological processes of organisms, thus exerting a profound impact on research ...
Protocol Article
Integrative machine learning approach for identification of new molecular scaffold and prediction of inhibition responses in cancer cells using multi-omics data
Aman Chandra Kaushik and others
MDM2 (Mouse Double Minute 2), a fundamental governor of the p53 tumor suppressor pathway, has garnered significant attention as a favorable target for cancer therapy. Recent years have witnessed the development and synthesis of potent MDM2 inhibitors. Despite the fact that numerous MDM2 inhibitors and degraders have been ...
Review Paper
Recent advances in investigation of circRNA/lncRNA-miRNA-mRNA networks through RNA sequencing data analysis
Yulan Gao and others
Non-coding RNAs (ncRNAs) are RNA molecules that are transcribed from DNA but are not translated into proteins. Studies over the past decades have revealed that ncRNAs can be classified into small RNAs, long non-coding RNAs and circular RNAs by genomic size and structure. Accumulated evidences have eludicated the critical ...

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