title: Cancer bioinformatics: detection of chromatin states, SNP-containing motifs, and functional enrichment modules.
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.
authors.forename: Xiaobo
authors.initials: X
authors.lastname: Zhou
mesh_terms: D001665:Binding Sites; D002843:Chromatin / Q000235:genetics*; D019295:Computational Biology; D053263:Gene Regulatory Networks; D006801:Humans; D009369:Neoplasms / Q000235:genetics*; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*; D014157:Transcription Factors / Q000235:genetics*
chemical_list: D002843:Chromatin; D014157:Transcription Factors
references.citation: Chin J Cancer. 2013 Apr;32(4):170-85
references.pmid: 23327800
references.citation: Science. 2010 Dec 24;330(6012):1787-97
references.pmid: 21177974
references.citation: Chin J Cancer. 2013 Apr;32(4):195-204
references.pmid: 23237213
references.citation: Chin J Cancer. 2013 Apr;32(4):155-61
references.pmid: 23298462
references.citation: Chin J Cancer. 2013 Apr;32(4):186-94
references.pmid: 23237214