Tumor Associated Gene
Oncogenic Domain Analysis Text Search List by Chromosome Tutorial |
The
completion of human genome sequences allows one to rapidly identify and
analyze genes of interest through the use of computational approach. The
available annotations including physical characterization and functional
domains of known tumor-related genes thus can be used to study the role of
genes involved in carcinogenesis. The tumor-associated gene (Tumor Associated Gene
was designed to utilize information from well-characterized oncogenes and
tumor suppressor genes to facilitate cancer research. All target genes
were identified through text-mining approach from the PubMed database. A
semi-automatic information retrieving engine was built to collect specific
information of these target genes from various resources and store in the
TAG database. At current stage, 662 TAGs
including
246 oncogenes, 265 tumor suppressor genes, and 151 genes related to
oncogenesis were collected.
Information collected in TAG database can be browsed through user-friendly
web interfaces that provide searching genes by chromosome or by keywords.
The “consensus domain analysis” tool functions to identify conserved
protein domains and GO terms among selected TAG genes. In addition, the
“oncogenic domain analysis” can analyze oncogenic potential of any
user-provided protein based on a weighed term frequency table calculated
from the TAG proteins. This study was supported by grant from National
research program for genomic medicine (NRPGM) and personnel from
Bioinformatics Center of Center for Biotechnology and Biosciences in the
National Cheng Kung University, Taiwan. |
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