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

Database (Oxford). 2018 Jan 1:2018:bay041. doi: 10.1093/database/bay041.

Authors

Inhae Jeong¹, Namhee Yu², Insu Jang³, Yukyung Jun⁴, Min-Seo Kim³, Jinhyuk Choi³, Byungwook Lee³, Sanghyuk Lee^{1

2

4}

Affiliations

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.

Abstract

GEMiCCL is available at https://www.kobic.kr/GEMICCL/.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Animals
Cell Line, Tumor*
Databases, Genetic*
Gene Expression Regulation, Neoplastic*
Humans
Mutation*
Neoplasms* / genetics
Neoplasms* / metabolism
Polymorphism, Single Nucleotide*
Software*