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[source] CELLO - Cancer EvoLution toolbox for LOngitudinal data

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CELLO - Cancer EvoLution for LOngitudinal data

Ownership

Wang Lab at HKUST

  • Software Development: Jiguang Wang, Biaobin Jiang, Dong Song and Quanhua Mu
  • Logo Design: Shengshuo Huang

Status

Active Development

Introduction

Cancer EvoLution for LOngitudinal data (CELLO) is a MATLAB toolbox for comprehensive analysis of longitudinal genomic sequencing data in cancer. It was originally developed by Jiguang Wang [1,2], and the implementation has both MATLAB and R versions:

Datasets

The input SAVI report consists of a list of genetic variants from 90 glioblastoma patients [1].

Reference

[1] Jiguang Wang, Emanuela Cazzato, Erik Ladewig, Veronique Frattini, Daniel I S Rosenbloom, Sakellarios Zairis, Francesco Abate, Zhaoqi Liu, Oliver Elliott, Yong-Jae Shin, Jin-Ku Lee, In-Hee Lee, Woong-Yang Park, Marica Eoli, Andrew J Blumberg, Anna Lasorella, Do-Hyun Nam, Gaetano Finocchiaro, Antonio Iavarone, Raul Rabadan. (2016). Clonal evolution of glioblastoma under therapy. Nature Genetics, 48(7), 768-776.

[2] Jiguang Wang, Hossein Khiabanian, Davide Rossi, Giulia Fabbri, Valter Gattei, Francesco Forconi, Luca Laurenti, Roberto Marasca, Giovanni Del Poeta, Robin Foà, Laura Pasqualucci, Gianluca Gaidano, Raul Rabadan. (2014). Tumor evolutionary directed graphs and the history of chronic lymphocytic leukemia. Elife, 3, e02869.

Contact

For any questions, please contact Professor Jiguang Wang via email: jgwang AT ust DOT hk

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[source] CELLO - Cancer EvoLution toolbox for LOngitudinal data

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  • MATLAB 67.7%
  • R 32.2%
  • Mercury 0.1%