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Cancer bioinformatics: detection of chromatin states, SNP-containing motifs, and functional enrichment modules / 癌症
Chinese Journal of Cancer ; (12): 153-154, 2013.
Article in English | WPRIM | ID: wpr-320593
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.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Transcription Factors / Binding Sites / Chromatin / Computational Biology / Polymorphism, Single Nucleotide / Gene Regulatory Networks / Genetics / Neoplasms Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Chinese Journal of Cancer Year: 2013 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Transcription Factors / Binding Sites / Chromatin / Computational Biology / Polymorphism, Single Nucleotide / Gene Regulatory Networks / Genetics / Neoplasms Type of study: Diagnostic study / Prognostic study Limits: Humans Language: English Journal: Chinese Journal of Cancer Year: 2013 Type: Article