Cancer bioinformatics: detection of chromatin states, SNP-containing motifs, and functional enrichment modules.
10.5732/cjc.013.10045
- Author:
Xiaobo ZHOU
- Publication Type:Editorial
- MeSH:
Binding Sites;
Chromatin;
genetics;
Computational Biology;
Gene Regulatory Networks;
Humans;
Neoplasms;
genetics;
Polymorphism, Single Nucleotide;
genetics;
Transcription Factors;
genetics
- From:Chinese Journal of Cancer
2013;32(4):153-154
- CountryChina
- Language:English
-
Abstract:
In this editorial preface, I briefly review cancer bioinformatics and introduce the four articles in this special issue highlighting important applications of the field: detection of chromatin states; detection of SNP-containing motifs and association with transcription factor-binding sites; improvements in functional enrichment modules; and gene association studies on aging and cancer. We expect this issue to provide bioinformatics scientists, cancer biologists, and clinical doctors with a better understanding of how cancer bioinformatics can be used to identify candidate biomarkers and targets and to conduct functional analysis.
