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 En
| WPRIM
| ID: wpr-320593
Responsible library:
WPRO
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.
Full text:
1
Index:
WPRIM
Main subject:
Transcription Factors
/
Binding Sites
/
Chromatin
/
Computational Biology
/
Polymorphism, Single Nucleotide
/
Gene Regulatory Networks
/
Genetics
/
Neoplasms
Type of study:
Diagnostic_studies
/
Prognostic_studies
Limits:
Humans
Language:
En
Journal:
Chinese Journal of Cancer
Year:
2013
Type:
Article