ArticleBMC genomics2018
MethCNA: a database for integrating genomic and epigenomic data in human cancer.
Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 15 citations in OpenAlex.
- Deep learning-based multimodal spatial transcriptomics analysis for cancer.Advances in cancer research · 2024Review
- Unlocking the secrets: the power of methylation-based cfDNA detection of tissue damage in organ systems.Clinical epigenetics · 2023Review
- Genome-wide DNA methylation profiling of HPV-negative leukoplakia and gingivobuccal complex cancers.Clinical epigenetics · 2023Article
- Epigenetic targeting of autophagy for cancer: DNA and RNA methylation.Frontiers in oncology · 2023Review
- The Cancer Research Database (CRDB): Integrated Platform to Gain Statistical Insight Into the Correlation Between Cancer and COVID-19.JMIR cancer · 2022Article
- MIAOME: Human microbiome affect the host epigenome.Computational and structural biotechnology journal · 2022Article
- methCancer-gen: a DNA methylome dataset generator for user-specified cancer type based on conditional variational autoencoder.BMC bioinformatics · 2020Article
- AIKYATAN: mapping distal regulatory elements using convolutional learning on GPU.BMC bioinformatics · 2019Article
- From Single Level Analysis to Multi-Omics Integrative Approaches: A Powerful Strategy towards the Precision Oncology.High-throughput · 2018Review
- The untold stories of the speech gene, theGenes & cancer · 2018Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe integration of DNA methylation and copy number alteration data promises to provide valuable insight into the underlying molecular mechanisms responsible for cancer initiation and progression. However, the generation and processing of these datasets are costly and time-consuming if carried out separately. The Illumina Infinium HumanMethylation450 BeadChip, initially designed for the evaluation of DNA methylation levels, allows copy number variant calling using bioinformatics tools.
resultsA substantial amount of Infinium HumanMethylation450 data across various cancer types has been accumulated in recent years and is a valuable resource for large-scale data analysis. Here we present MethCNA, a comprehensive database for genomic and epigenomic data integration in human cancer. In the current release, MethCNA contains about 10,000 tumor samples representing 37 cancer types. All raw array data were collected from The Cancer Genome Atlas and NCBI Gene Expression Omnibus database and analyzed using a pipeline that integrated multiple computational resources and tools. The normalized copy number aberration data and DNA methylation alterations were obtained. We provide a user-friendly web-interface for data mining and visualization.
conclusionsThe Illumina Infinium HumanMethylation450 BeadChip enables the interrogation and integration of both genomic and epigenomic data from exactly the same DNA specimen, and thus can aid in distinguishing driver from passenger mutations in cancer. We expect MethCNA will enable researchers to explore DNA methylation and copy number alteration patterns, identify key oncogenic drivers in cancer, and assist in the development of targeted therapies. MethCNA is publicly available online at http://cgma.scu.edu.cn/MethCNA .
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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.