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Volume 12
Journal of Molecular and Genetic Medicine
ISSN: 1747-0862
May 21-23, 2018 Barcelona, Spain
&
Integrative Biology
6
th
International Conference on
Genomics and Molecular Biology
10
th
International Conference on
Genomics 2018 and Integrative Biology 2018
May 21-23, 2018
JOINT EVENT
Visualization and data mining of tremendous cancer transcriptome data
Zefang Tang
Peking University, China
T
he Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) projects produced RNA-Seq data for tens
of thousands of cancer and non-cancer samples, providing an unprecedented opportunity for data mining, cancer drug
target discovery and data visualization. In recent years, promising cancer drugs including panitumumab and bevacizumab
have been developed that inhibit cancer cells by selectively targeting over-expressed EGFR or VEGF genes in cancer cells,
while leaving normal cells unharmed. Genetic alterations will influence gene expression directly or indirectly. It is a frequently
used strategy to discover candidate cancer drug targets through the finding of cancer specific expressed genes. This study
aims to investigate normalization methods for integrating different expression datasets, explore effective approaches to obtain
differentially expressed genes, profile the prognostic genes and transcripts in survival analyses, characterize the distribution
of cancer specific genes or transcripts, and analyze their biological functions. Meanwhile, we will develop tools for visualizing
integrated expression data, with the aim to disseminate such data to the wide research community. We also plan to find useful
biomarkers for early diagnosis. Finally, by investigating the association between genetic alterations and over-expression, we
aim to elucidate the underlying genetic mechanisms of differentially expressed genes.
tangzefang@pku.edu.cnJ Mol Genet Med 2018, Volume 12
DOI: 10.4172/1747-0862-C2-028