Elior Rahmani1, Reut Yedidim1, Liat Shenhav2, Regev Schweiger1, Omer Weissbrod2,3, Noah Zaitlen4, Eran Halperin5,6. 1. Blavatnik School of Computer Science, Tel Aviv University, Ramat Aviv, Israel. 2. Statistics and Operations Research Department, Tel Aviv University, Ramat Aviv, Israel. 3. Computer Science Department, Technion - Israel Institute of Technology, Haifa, Israel. 4. Department of Medicine, University of California San Francisco, San Francisco, CA, USA. 5. Computer Science Department, University of California Los Angeles, Los Angeles, CA, USA. 6. Department of Anesthesiology and Perioperative Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Abstract
SUMMARY: GLINT is a user-friendly command-line toolset for fast analysis of genome-wide DNA methylation data generated using the Illumina human methylation arrays. GLINT, which does not require any programming proficiency, allows an easy execution of Epigenome-Wide Association Study analysis pipeline under different models while accounting for known confounders in methylation data. AVAILABILITY AND IMPLEMENTATION: GLINT is a command-line software, freely available at https://github.com/cozygene/glint/releases . It requires Python 2.7 and several freely available Python packages. Further information and documentation as well as a quick start tutorial are available at http://glint-epigenetics.readthedocs.io . CONTACT: elior.rahmani@gmail.com or ehalperin@cs.ucla.edu.
SUMMARY: GLINT is a user-friendly command-line toolset for fast analysis of genome-wide DNA methylation data generated using the Illumina human methylation arrays. GLINT, which does not require any programming proficiency, allows an easy execution of Epigenome-Wide Association Study analysis pipeline under different models while accounting for known confounders in methylation data. AVAILABILITY AND IMPLEMENTATION: GLINT is a command-line software, freely available at https://github.com/cozygene/glint/releases . It requires Python 2.7 and several freely available Python packages. Further information and documentation as well as a quick start tutorial are available at http://glint-epigenetics.readthedocs.io . CONTACT: elior.rahmani@gmail.com or ehalperin@cs.ucla.edu.
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