GEMiCCL: mining genotype and expression data of cancer cell lines with elaborate visualization-Reference-Cited by-同舟云学术

GEMiCCL: mining genotype and expression data of cancer cell lines with elaborate visualization

Author:

Jeong Inhae¹,Yu Namhee²,Jang Insu³,Jun Yukyung⁴,Kim Min-Seo³,Choi Jinhyuk³,Lee Byungwook³,Lee Sanghyuk¹²⁴

Affiliation:

1. Department of Bio-Information Science, Ewha Womans University, Seoul 03760, Republic of Korea

2. Department of Life Science, Ewha Womans University, Seoul 03760, Republic of Korea

3. Korean Research Institute of Bioscience and Biotechnology, Korean Bioinformation Center, Daejeon 34141, Republic of Korea

4. Ewha Research Center for Systems Biology, Ewha Womans University, Seoul 03760, Republic of Korea

Funder

National Research Foundation of Korea

Publisher

Oxford University Press (OUP)

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

Reference14 articles.

1. Cell Line Data Base: structure and recent improvements towards molecular authentication of human cell lines;Romano;Nucleic Acids Res,2009

2. A bioinformatics analysis of the cell line nomenclature;Sarntivijai;Bioinformatics,2008

3. CellLineNavigator: a workbench for cancer cell line analysis;Krupp;Nucleic Acids Res,2013

4. The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity;Barretina;Nature,2012

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