Literature DB >> 27008012

A Practical Guide to The Cancer Genome Atlas (TCGA).

Zhining Wang1, Mark A Jensen2, Jean Claude Zenklusen3.   

Abstract

The Cancer Genome Atlas (TCGA) is one of the most ambitious and successful cancer genomics programs to date. The TCGA program has generated, analyzed, and made available genomic sequence, expression, methylation, and copy number variation data on over 11,000 individuals who represent over 30 different types of cancer. This chapter provides a brief overview of the TCGA program and detailed instructions and tips for investigators on how to find, access, and download this data.

Entities:  

Keywords:  Cancer genomics; Copy number; Methylation; Mutation; Next-generation sequencing; Proteomics; TCGA; The Cancer Genome Atlas; Transcriptome; miRNA

Mesh：

Year:  2016        PMID： 27008012     DOI： 10.1007/978-1-4939-3578-9_6

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN： 1064-3745


  162 in total

1.  Computational challenges in modeling gene regulatory events.

Authors:  Abhijeet Pataskar; Vijay K Tiwari
Journal:  Transcription       Date:  2016-07-08

2.  LncRNAs and Available Databases.

Authors:  Sara Napoli
Journal:  Methods Mol Biol       Date:  2021

3.  GENCODE Pseudogenes.

Authors:  Cristina Sisu
Journal:  Methods Mol Biol       Date:  2021

4.  Development and validation of a survival model based on autophagy-associated genes for predicting prognosis of hepatocellular carcinoma.

Authors:  Wanli Yang; Liaoran Niu; Xinhui Zhao; Lili Duan; Yiding Li; Xiaoqian Wang; Yujie Zhang; Wei Zhou; Jinqiang Liu; Qingchuan Zhao; Yu Han; Daiming Fan; Liu Hong
Journal:  Am J Transl Res       Date:  2020-10-15       Impact factor: 4.060

5.  Base-resolution stratification of cancer mutations using functional variomics.

Authors:  Song Yi; Ning-Ning Liu; Limei Hu; Hui Wang; Nidhi Sahni
Journal:  Nat Protoc       Date:  2017-10-05       Impact factor: 13.491

6.  Pseudogenes as Biomarkers and Therapeutic Targets in Human Cancers.

Authors:  Cristina Sisu
Journal:  Methods Mol Biol       Date:  2021

7.  Long non‑coding RNA NEAT1 regulates glioma cell proliferation and apoptosis by competitively binding to microRNA‑324‑5p and upregulating KCTD20 expression.

Authors:  Jiale Zhang; Yangyang Li; Yuqi Liu; Guangzhi Xu; Yue Hei; Xiaoming Lu; Weiping Liu
Journal:  Oncol Rep       Date:  2021-05-13       Impact factor: 3.906

Review 8.  Responsible, practical genomic data sharing that accelerates research.

Authors:  James Brian Byrd; Anna C Greene; Deepashree Venkatesh Prasad; Xiaoqian Jiang; Casey S Greene
Journal:  Nat Rev Genet       Date:  2020-07-21       Impact factor: 53.242

9.  Contrasting activities of estrogen receptor beta isoforms in triple negative breast cancer.

Authors:  Shunchao Yan; Parama Dey; Yvonne Ziegler; Xin Jiao; Sung Hoon Kim; John A Katzenellenbogen; Benita S Katzenellenbogen
Journal:  Breast Cancer Res Treat       Date:  2020-10-01       Impact factor: 4.872

10.  A Risk Signature with Autophagy-Related Long Noncoding RNAs for Predicting the Prognosis of Clear Cell Renal Cell Carcinoma: Based on the TCGA Database and Bioinformatics.

Authors:  Yundong Xuan; Weihao Chen; Kan Liu; Yu Gao; Shidong Zuo; Baojun Wang; Xin Ma; Xu Zhang
Journal:  Dis Markers       Date:  2021-05-07       Impact factor: 3.434
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