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: | , |
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| Format: | Online |
| Language: | English |
| Published: |
YJBM
2012
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3447198/ |
| Summary: | 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. |
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