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

Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients

1 Feb 2021

Abstract excerpt

Gliomas are the most common and malignant intracranial tumors in adults. Recent studies have revealed the significance of functional genomics for glioma pathophysiological studies and treatments. However, access to comprehensive genomic data and analytical platforms is often limited. Here, we developed the Chinese Glioma Genome Atlas (CGGA), a user-friendly data portal for the storage and interactive exploration...

Read the complete abstract on PubMed

Topics

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

Share to Ferroptosis and cancer prognosis
Share to Glioma Diagnosis and Treatment
Share to MicroRNA in disease regulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 33662628
DOI: 10.1016/j.gpb.2020.10.005

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma PatientsPMID 33662628Read ↗

Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data for Chinese Glioma PatientsSemantic proximity Read ↗

GliomaDB: A Web Server for Integrating Glioma Omics Data and Interactive Analysis.Semantic proximity Read ↗

Computational genomics of brain tumors: identification and characterization of glioma candidate biomarkers through multi-omics integrative molecular profilingSemantic proximity Read ↗

Molecular classification of gliomas based on whole genome gene expression: a systematic report of 225 samples from the Chinese Glioma Cooperative GroupSemantic proximity Read ↗

Mining multi-omics data for molecular subtyping in gliomas facilitates precise clinical treatmentSemantic proximity Read ↗

Integrated Analysis of the Clinical and Molecular Characteristics of IDH Wild-Type Gliomas in the Chinese Glioma Genome AtlasSemantic proximity Read ↗

Methylation-driven Cancer Genes and Methylation Profiling in Glioma: A Comparative Study between East Asian and non-Hispanic White PopulationsSemantic proximity Read ↗

Integrated genomic characterization of cancer genes in gliomaSemantic proximity Read ↗

Integration of Multi-Omics Data for the Classification of Glioma Types and Identification of Novel BiomarkersSemantic proximity Read ↗

Integration of Multi-omics Data for the Classification of Glioma Types and Identification of Novel BiomarkersSemantic proximity Read ↗

Integrated analysis from multicentre studies identities RNA methylation- related lncRNA risk stratification systems for gliomaSemantic proximity Read ↗

Long Noncoding RNA Profiles Reveal Three Molecular Subtypes in GliomaSemantic proximity Read ↗

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