doi: 10.5732/cjc.013.10045

Cancer bioinformatics: detection of chromatin states, SNP-containing motifs, and functional enrichment modules

Xiaobo Zhou

Center for Bioinformatics and Systems Biology, Wake Forest University-School of Medicine, Winston-Salem, NC 27103, USA.

[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.

Chinese Journal of Cancer 2013, Volume: 32, Issue 4, Page: 153-154

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Xiaobo Zhou. Cancer bioinformatics: detection of chromatin states, SNP-containing motifs, and functional enrichment modules. Chin J Cancer. 2013, 32(4):153-154. doi:10.5732/cjc.013.10045


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