The International Cancer Genome Consortium Data Portal

By Junjun Zhang, Rosita Bajari, Dusan Andric, Francois Gerthoffert, Alexandru Lepsa, Hardeep K. Nahal-Bose, Lincoln D. Stein, V. Ferretti. Nature Biotechnology, 2019

483 citations recorded by the source corpus.

Subfields: Cancer Research, Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/5e0d029117165499a66ea440d15baaa14a97649b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Fiona E. Hood
2. J. Hartley
3. F. Zeng
4. Guanzhang Li
5. Zheng Wang
6. Qiangwei Wang
7. Fan Wu
8. Z. Bao

Citations in the corpus

• The frequency of Ras mutations in cancer (2020, methodology): “The International Cancer Genome Consortium (ICGC) data portal performs a similar function with multi-omic data for 22 cancer types currently curated from approximtely 24,000 samples derived from patients from around the world (39).”
• How Machine Learning will Transform Biomedicine (2020, unknown): “…(Venter et al., 2001), efforts in cancer omics (e.g., The Cancer Genome Atlas (Tomczak et al., 2015), the International Cancer Genome Consortium (Zhang et al., 2019), and the Clinical Proteomic Tumor Analysis Consortium (Ellis et al., 2013)), and numerous international machine learning…”
• Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients (2021, background): “In the cancer research community, major large-scale projects, such as The Cancer Genome Atlas (TCGA, which includes 516 LGG samples and 617 GBM samples as of October 18, 2019) [18] and the International Cancer Genome Consortium [ICGC, which includes 80 adult GBM samples and 50 pediatric GBM samples ”