ReviewGenome medicine2013
Visualizing multidimensional cancer genomics data.
Review in Genome medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 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
58 citing papers in PubMed.
- Identification of KRT80 as a Novel Prognostic and Predictive Biomarker of Human Lung Adenocarcinoma via Bioinformatics Approaches.Combinatorial chemistry & high throughput screening · 2025Article
- Proteomic profiling reveals ACSS2 facilitating metabolic support in acute myeloid leukemia.Cancer gene therapy · 2024Article
- Statistical plots in oncologic imaging, a primer for neuroradiologists.The neuroradiology journal · 2024Review
- Article
- Integrating machine learning algorithms and single-cell analysis to identify gut microbiota-related macrophage biomarkers in atherosclerotic plaques.Frontiers in cellular and infection microbiology · 2024Article
- Pan‑cancer analysis identified ARHGAP23 as a potential biomarker for pancreatic adenocarcinoma.Molecular and clinical oncology · 2023Article
- Microarray data analysis to identify miRNA biomarkers and construct the lncRNA-miRNA-mRNA network in lung adenocarcinoma.Medicine · 2022Article
- Angiotensinogen, a promising gene signature for rectum and stomach adenocarcinoma patients.American journal of translational research · 2022Article
- OmicsView: Omics data analysis through interactive visual analytics.Computational and structural biotechnology journal · 2022Article
- Analysis, identification and visualization of subgroups in genomics.Briefings in bioinformatics · 2021Review
- Search and comparison of (epi)genomic feature patterns in multiple genome browser tracks.BMC bioinformatics · 2020Article
- ClonArch: visualizing the spatial clonal architecture of tumors.Bioinformatics (Oxford, England) · 2020Article
- Identification and Validation of Immune-Related Gene Prognostic Signature for Hepatocellular Carcinoma.Journal of immunology research · 2020Article
- Tasks, Techniques, and Tools for Genomic Data Visualization.Computer graphics forum : journal of the European Association for Computer Graphics · 2019Article
- Lysophosphatidic Acid Receptor 6 (LPAR6) Expression and Prospective Signaling Pathway Analysis in Breast Cancer.Molecular diagnosis & therapy · 2019Article
- Integrative Analysis of CD133 mRNA in Human Cancers Based on Data Mining.Stem cell reviews and reports · 2019Review
- Visual Analytics of Genomic and Cancer Data: A Systematic Review.Cancer informatics · 2019Review
- NUMB and NUMBL differences in gene regulation.Oncotarget · 2018Article
- Exploring and visualizing multidimensional data in translational research platforms.Briefings in bioinformatics · 2017Article
- VGLL4 Selectively Represses YAP-Dependent Gene Induction and Tumorigenic Phenotypes in Breast Cancer.Scientific reports · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer genomics projects employ high-throughput technologies to identify the complete catalog of somatic alterations that characterize the genome, transcriptome and epigenome of cohorts of tumor samples. Examples include projects carried out by the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). A crucial step in the extraction of knowledge from the data is the exploration by experts of the different alterations, as well as the multiple relationships between them. To that end, the use of intuitive visualization tools that can integrate different types of alterations with clinical data is essential to the field of cancer genomics. Here, we review effective and common visualization techniques for exploring oncogenomics data and discuss a selection of tools that allow researchers to effectively visualize multidimensional oncogenomics datasets. The review covers visualization methods employed by tools such as Circos, Gitools, the Integrative Genomics Viewer, Cytoscape, Savant Genome Browser, StratomeX and platforms such as cBio Cancer Genomics Portal, IntOGen, the UCSC Cancer Genomics Browser, the Regulome Explorer and the Cancer Genome Workbench.
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.