ReviewGenes2024
A Comprehensive Review of Bioinformatics Tools for Genomic Biomarker Discovery Driving Precision Oncology.
Review in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
39 citing papers in PubMed.
- Identification of Key Genes Related to SUMOylation and Potassium Channels and Their Mechanism of Influence on Pulmonary Arterial Hypertension.Biochemical genetics · 2026Article
- Trustworthy Agentic AI in Bioinformatics: From Workflow Automation to Traceable and Validated Biological Inference.Biology · 2026Review
- Why are Some Tissues More Vulnerable? Revisiting Tissue Specificity in Hereditary Cancer Syndromes.Molecular diagnosis & therapy · 2026Review
- Vitiligo Information Resource database v3.NPJ systems biology and applications · 2026Article
- Deep learning multi-omics integration identifies new molecular subtypes of lung cancer.BioData mining · 2026Article
- Harnessing archaeogenetic for cancer therapy: bridging ancient DNA insights with modern therapeutic innovations.Clinical epigenetics · 2026Review
- Disrupting the Undruggable: Emerging Modalities for Targeting Protein-Protein Interactions in Oncology.Biology · 2026Review
- Review
- Development and validation of a macrophage-related prognostic model for overall survival in ovarian cancer via integrated RNA sequencing analysis.Translational cancer research · 2026Article
- Integrative systems biology and drug repurposing reveal key regulatory hubs and a prognostic signature in gastric cancer.Discover oncology · 2026Article
- Multi-dimensional analysis reveals the potential of PDK4 as a tumor biomarker and target for immunotherapy.Discover oncology · 2026Article
- Integrated bioinformatics and molecular docking ıdentify CCNB1, CDK1, and CYP1A2 as therapeutic targets of phytochemicals in hepatocellular carcinoma.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Diagnostic potential of neutrophil extracellular traps in ulcerative colitis: a gene-based predictive model.Molecular and cellular biochemistry · 2026Article
- Review
- A Hypoxia and Immune Escape-Related Gene Signature for the Diagnosis of Prostate Cancer: An Integrated Bioinformatics Study.International journal of medical sciences · 2026Article
- Article
- Precision antimicrobials: the next paradigm shift after broad-spectrum therapy.Frontiers in microbiology · 2026Article
- CD48 and CXCR4 as immune-associated biomarkers in periodontitis: an integrative analysis and validation study.Frontiers in immunology · 2026Article
- Integrated multi-omics analysis identifies DARS2, MRTO4, and MRPL37 as novel biomarkers and potential therapeutic targets for bladder cancer.Discover oncology · 2025Article
- Bioinformatics and artificial intelligence in genomic data analysis: current advances and future directions.Molecular genetics and genomics : MGG · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The rapid advancement of high-throughput technologies, particularly next-generation sequencing (NGS), has revolutionized cancer research by enabling the investigation of genetic variations such as SNPs, copy number variations, gene expression, and protein levels. These technologies have elevated the significance of precision oncology, creating a demand for biomarker identification and validation. This review explores the complex interplay of oncology, cancer biology, and bioinformatics tools, highlighting the challenges in statistical learning, experimental validation, data processing, and quality control that underpin this transformative field. This review outlines the methodologies and applications of bioinformatics tools in cancer genomics research, encompassing tools for data structuring, pathway analysis, network analysis, tools for analyzing biomarker signatures, somatic variant interpretation, genomic data analysis, and visualization tools. Open-source tools and repositories like The Cancer Genome Atlas (TCGA), Genomic Data Commons (GDC), cBioPortal, UCSC Genome Browser, Array Express, and Gene Expression Omnibus (GEO) have emerged to streamline cancer omics data analysis. Bioinformatics has significantly impacted cancer research, uncovering novel biomarkers, driver mutations, oncogenic pathways, and therapeutic targets. Integrating multi-omics data, network analysis, and advanced ML will be pivotal in future biomarker discovery and patient prognosis prediction.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.