Exploring cancer genomic data from the cancer genome atlas project

Research output: Contribution to journalShort survey

  • 12 Citations

Abstract

The Cancer Genome Atlas (TCGA) has compiled genomic, epigenomic, and proteomic data from more than 10,000 samples derived from 33 types of cancer, aiming to improve our understanding of the molecular basis of cancer development. Availability of these genome-wide information provides an unprecedented opportunity for uncovering new key regulators of signaling pathways or new roles of pre-existing members in pathways. To take advantage of the advancement, it will be necessary to learn systematic approaches that can help to uncover novel genes reflecting genetic alterations, prognosis, or response to treatments. This minireview describes the updated status of TCGA project and explains how to use TCGA data.

LanguageEnglish (US)
Pages607-611
Number of pages5
JournalBMB Reports
Volume49
Issue number11
DOIs
StatePublished - Jan 1 2016

Fingerprint

Atlases
Genes
Genome
Neoplasms
Epigenomics
Proteomics
Availability

Keywords

  • Clinical significance
  • Genomics
  • Methylation
  • Proteomics
  • The cancer genome atlas

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology

Cite this

Exploring cancer genomic data from the cancer genome atlas project. / Lee, Ju-Seog.

In: BMB Reports, Vol. 49, No. 11, 01.01.2016, p. 607-611.

Research output: Contribution to journalShort survey

@article{d3ac8f5fb91745429264da32466e7168,
title = "Exploring cancer genomic data from the cancer genome atlas project",
abstract = "The Cancer Genome Atlas (TCGA) has compiled genomic, epigenomic, and proteomic data from more than 10,000 samples derived from 33 types of cancer, aiming to improve our understanding of the molecular basis of cancer development. Availability of these genome-wide information provides an unprecedented opportunity for uncovering new key regulators of signaling pathways or new roles of pre-existing members in pathways. To take advantage of the advancement, it will be necessary to learn systematic approaches that can help to uncover novel genes reflecting genetic alterations, prognosis, or response to treatments. This minireview describes the updated status of TCGA project and explains how to use TCGA data.",
keywords = "Clinical significance, Genomics, Methylation, Proteomics, The cancer genome atlas",
author = "Ju-Seog Lee",
year = "2016",
month = "1",
day = "1",
doi = "10.5483/BMBRep.2016.49.11.145",
language = "English (US)",
volume = "49",
pages = "607--611",
journal = "BMB Reports",
issn = "1976-6696",
publisher = "The Biochemical Society of the Republic of Korea",
number = "11",

}

TY - JOUR

T1 - Exploring cancer genomic data from the cancer genome atlas project

AU - Lee, Ju-Seog

PY - 2016/1/1

Y1 - 2016/1/1

N2 - The Cancer Genome Atlas (TCGA) has compiled genomic, epigenomic, and proteomic data from more than 10,000 samples derived from 33 types of cancer, aiming to improve our understanding of the molecular basis of cancer development. Availability of these genome-wide information provides an unprecedented opportunity for uncovering new key regulators of signaling pathways or new roles of pre-existing members in pathways. To take advantage of the advancement, it will be necessary to learn systematic approaches that can help to uncover novel genes reflecting genetic alterations, prognosis, or response to treatments. This minireview describes the updated status of TCGA project and explains how to use TCGA data.

AB - The Cancer Genome Atlas (TCGA) has compiled genomic, epigenomic, and proteomic data from more than 10,000 samples derived from 33 types of cancer, aiming to improve our understanding of the molecular basis of cancer development. Availability of these genome-wide information provides an unprecedented opportunity for uncovering new key regulators of signaling pathways or new roles of pre-existing members in pathways. To take advantage of the advancement, it will be necessary to learn systematic approaches that can help to uncover novel genes reflecting genetic alterations, prognosis, or response to treatments. This minireview describes the updated status of TCGA project and explains how to use TCGA data.

KW - Clinical significance

KW - Genomics

KW - Methylation

KW - Proteomics

KW - The cancer genome atlas

UR - http://www.scopus.com/inward/record.url?scp=85009174467&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85009174467&partnerID=8YFLogxK

U2 - 10.5483/BMBRep.2016.49.11.145

DO - 10.5483/BMBRep.2016.49.11.145

M3 - Short survey

VL - 49

SP - 607

EP - 611

JO - BMB Reports

T2 - BMB Reports

JF - BMB Reports

SN - 1976-6696

IS - 11

ER -