Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A Multiomics Graph Database System for Biological Data Integration and Cancer Informatics.

Journal of computational biology : a journal of computational molecular cell biology - 1 Feb 2021

Thapa Ishwor, Ali Hesham

Abstract excerpt

The multiomics data are heterogeneous and come from different biological levels such as epigenetics, genomics, transcriptomics and proteomics. The development of high-throughput technologies has enabled researchers not only to study all the entities together but also to utilize information from different levels spanning DNA methylation, copy number variation (CNV), mutation, gene expression, and miRNA expression....

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Computational Biology
Share to Databases, Factual

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to DNA Copy Number Variations

Share to DNA Methylation

Share to Gene Expression Regulation, Neoplastic

Share to Gene Regulatory Networks

Share to MicroRNAs

Share to Neoplasms

Source

Identifiers

PMID: 32783648
DOI: 10.1089/cmb.2020.0231

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A Multiomics Graph Database System for Biological Data Integration and Cancer Informatics.PMID 32783648Read ↗

Exploring Integrative Analysis using the BioMedical Evidence GraphSemantic proximity Read ↗

Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome predictionSemantic proximity Read ↗

BioVLAB-mCpG-SNP-EXPRESS: A system for multi-level and multi-perspective analysis and exploration of DNA methylation, sequence variation (SNPs), and gene expression from multi-omics data.Semantic proximity Read ↗

MOGAT: An Improved Multi-Omics Integration Framework Using Graph Attention NetworksSemantic proximity Read ↗

mosGraphGen: a novel tool to generate multi-omics signaling graphs to facilitate integrative and interpretable graph AI model developmentSemantic proximity Read ↗

Petagraph: A large-scale unifying knowledge graph framework for integrating biomolecular and biomedical dataSemantic proximity Read ↗

A Network-of-Networks Framework for Multi-Omics Data Integration and Analysis via Graph Neural NetworksSemantic proximity Read ↗

An Updated Overview of Existing Cancer Databases and Identified NeedsSemantic proximity Read ↗

Large-scale data integration framework provides a comprehensive view on glioblastoma multiformeSemantic proximity Read ↗

GeNNet: An Integrated Platform for Unifying Scientific Workflow Management and Graph Databases for Transcriptome Data AnalysisSemantic proximity Read ↗

Cancer Digital Slide Archive: an informatics resource to support integrated in silico analysis of TCGA pathology dataSemantic proximity Read ↗

TCGA2BED: extracting, extending, integrating, and querying The Cancer Genome AtlasSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.