Bioinformatics Analysis for Cancers

Dear Colleagues,

Cancer is a complex disease with widespread genetic and epigenetic alterations. To understand the potential mechanism of cancer, large-scale genomes, transcriptomes and proteomes have been generated for various types of cancer. However, it is still a challenge to analyze the huge omics data. Bioinformatics analysis can greatly help mining the knowledge hidden in the biomedical big data. An increasing number of methods, tools, webservers and databases have been proposed to help with data analysis. In addition, bioinformatics analyses have also uncovered the perturbed signaling, immune and metabolism pathways in cancer. The interactions of genetic and epigenetic alterations also can rewire the tumor microenvironments. Numerous biomarkers for diagnosis and prognosis have been prioritized by using a bioinformatics analysis for cancer.

In this Special Issue, we will focus on bioinformatics analyses for cancer, including computational methods, tools, and software or webserver development. We also encourage comprehensive analyses of public genome, transcriptome and proteome data in cancer for finding novel hypotheses. Integration of multiple omics datasets to reveal new biomarkers, and findings on tumor microenvironments or drug development are also suitable for this Special Issue. We welcome submissions of reviews, research articles, short communications and concept papers.

Prof. Dr. Yongsheng Li
Prof. Dr. Juan Xu
Dr. Yan Zhang
Guest Editors

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