GSCALite: a web server for gene set cancer analysis | Zendy

Chunjie Liu | Zendy; Feifei Hu | Zendy; Meng-Xuan Xia | Zendy; Leng Han | Zendy; Qiong Zhang | Zendy; AnYuan Guo | Zendy

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GSCALite: a web server for gene set cancer analysis

Author(s) -

Chunjie Liu,

Feifei Hu,

Meng-Xuan Xia,

Leng Han,

Qiong Zhang,

AnYuan Guo

Publication year - 2018

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bty411

Subject(s) - gene , expression quantitative trait loci , computational biology , cancer , web server , biology , bioinformatics , genetics , computer science , the internet , world wide web , single nucleotide polymorphism , genotype

The availability of cancer genomic data makes it possible to analyze genes related to cancer. Cancer is usually the result of a set of genes and the signal of a single gene could be covered by background noise. Here, we present a web server named Gene Set Cancer Analysis (GSCALite) to analyze a set of genes in cancers with the following functional modules. (i) Differential expression in tumor versus normal, and the survival analysis; (ii) Genomic variations and their survival analysis; (iii) Gene expression associated cancer pathway activity; (iv) miRNA regulatory network for genes; (v) Drug sensitivity for genes; (vi) Normal tissue expression and eQTL for genes. GSCALite is a user-friendly web server for dynamic analysis and visualization of gene set in cancer and drug sensitivity correlation, which will be of broad utilities to cancer researchers.

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