Title | ||
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GLINT: a user-friendly toolset for the analysis of high-throughput DNA-methylation array data. |
Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1093/bioinformatics/btx059 | BIOINFORMATICS |
Field | DocType | Volume |
Data mining,Computer science,DNA methylation,Software,Throughput,User Friendly,Documentation,Python (programming language),Operating system | Journal | 33 |
Issue | ISSN | Citations |
12 | 1367-4803 | 0 |
PageRank | References | Authors |
0.34 | 2 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Elior Rahmani | 1 | 3 | 2.12 |
Reut Yedidim | 2 | 0 | 0.34 |
Liat Shenhav | 3 | 0 | 1.01 |
Regev Schweiger | 4 | 15 | 2.36 |
Omer Weissbrod | 5 | 1 | 1.73 |
Noah Zaitlen | 6 | 0 | 1.35 |
Eran Halperin | 7 | 1045 | 92.07 |