C-Gemis: A computational tool for gene expression data analysis for gastric cancer
C-Gemis: Uma ferramenta computacional para análise de dados de expressão gênica de câncer gástrico
DOI:
https://doi.org/10.53660/CLM-1015-23C35Palavras-chave:
Gastric cancer, TCGA, GEO, Survival analysisResumo
Background: Computational tools dedicated to the analysis of transcripts microarray and RNA-seq can provide an instrument to search biomarkers related to diagnosis and prognosis in different neoplasia. This process is carried out by automatizing the computational process that allows the exploration, visualization, and analysis of gene expression data. Objective: The present paper describes a new tool named C-Gemis for gene expression data analysis. Methods: C-Gemis is an online and free computation tool that explores differential gene expression and survival analysis with visualization of results. Results: C-Gemis optimizes the search for Gastric Cancer (GC) biomarkers in available data from public databases and stands out in usability, objectivity, and easy-to-understand graphics presentation. The results are presented considering Laurén's, WHO, and TCGA molecular classification. The tool is available at the website: www.cgemis.com.br. Conclusions: C-Gemis provides an easy way to automate data analysis of microarray and RNA-seq. The following steps incorporate other types of cancer, reaching a high detail related to cancer classifications and subclassifications.
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