Systematic Deciphering of Cancer Genome Networks
When growth regulatory genes are damaged in a cell, it may become cancerous. Current technological advances in the last decade have allowed the characterization of the whole genome of these cells by directly or indirectly measuring DNA changes. Complementary analyses were developed to make sense of...
| Main Authors: | , |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
YJBM
2012
|
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3447198/ |
| id |
pubmed-3447198 |
|---|---|
| recordtype |
oai_dc |
| spelling |
pubmed-34471982012-09-25 Systematic Deciphering of Cancer Genome Networks Fendler, Bernard Atwal, Gurinder Focus: Educating Yourself in Bioinformatics When growth regulatory genes are damaged in a cell, it may become cancerous. Current technological advances in the last decade have allowed the characterization of the whole genome of these cells by directly or indirectly measuring DNA changes. Complementary analyses were developed to make sense of the massive amounts of data generated. A large majority of these analyses were developed to construct interaction networks between genes from, primarily, expression array data. We review the current technologies and analyses that have developed in the last decade. We further argue that as cancer genomics evolves from single gene validations to gene network inferences, new analyses must be developed for the different technological platforms. YJBM 2012-09-25 /pmc/articles/PMC3447198/ /pubmed/23012582 Text en Copyright ©2012, Yale Journal of Biology and Medicine This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License, which permits for noncommercial use, distribution, and reproduction in any digital medium, provided the original work is properly cited and is not altered in any way. |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Fendler, Bernard Atwal, Gurinder |
| spellingShingle |
Fendler, Bernard Atwal, Gurinder Systematic Deciphering of Cancer Genome Networks |
| author_facet |
Fendler, Bernard Atwal, Gurinder |
| author_sort |
Fendler, Bernard |
| title |
Systematic Deciphering of Cancer Genome Networks |
| title_short |
Systematic Deciphering of Cancer Genome Networks |
| title_full |
Systematic Deciphering of Cancer Genome Networks |
| title_fullStr |
Systematic Deciphering of Cancer Genome Networks |
| title_full_unstemmed |
Systematic Deciphering of Cancer Genome Networks |
| title_sort |
systematic deciphering of cancer genome networks |
| description |
When growth regulatory genes are damaged in a cell, it may become cancerous.
Current technological advances in the last decade have allowed the
characterization of the whole genome of these cells by directly or indirectly
measuring DNA changes. Complementary analyses were developed to make sense of
the massive amounts of data generated. A large majority of these analyses were
developed to construct interaction networks between genes from, primarily,
expression array data. We review the current technologies and analyses that have
developed in the last decade. We further argue that as cancer genomics evolves
from single gene validations to gene network inferences, new analyses must be
developed for the different technological platforms. |
| publisher |
YJBM |
| publishDate |
2012 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3447198/ |
| _version_ |
1611910415973875712 |