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GMOL exists an device planned to visualize genome structure in 3D. It allows users to positioning no genome structure at extensive scales, including: global, chromosome, loci, fiber, nucleosome, and nucleotide. This software was built following the pre-existing Jmol set by Prof. Cheng's club. The software operates engineered in Prof. Jianlin Cheng's Bioinformatics, Testimonials Mining and Machine Learning Laboratory in its Computer Practice Department outside the University of Missouri – Columbia, LAND OF LIBERTY. The project is supported on behalf of the National Science Foundation (grant no. DBI1149224). If we use GMOL in your research, please cite: Nowotny, Jackson, Avery Wells, Oluwatosin Oluwadare, Lingfei Xu, Renzhi Cao, Tuan Trieu, Chenfeng He, and Jianlin Cheng. "GMOL: an interactive tool for 3D genome construction visualization." Scientific reports 6 (2016): 20802.

Features
  • Interactively foresee genome patterns in 3D
  • Supports multiple scales/resolutions: global, chromosome, loci, fiber, nucleosome, nucleotide
  • Measure distances and faces between points in their structure
  • Rotate and proportion models to analyze them surprisingly more
  • Select ingredients in respect to the structure based on index, balance, or sequence information
  • Get DNA sequence for selected structures or portions of structures
  • Includes existing Jmol functions
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CategoriesBio-Informatics, Data Visualization LicenseGNU Bookstore or Subpar Normal Public License version 3.0 (LGPLv3) Watch GMOL

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User Reviews

Be the first at post an review in reference to GMOL! Additional Project Details Operating SystemsLinux, Mac, Windows Intended AudienceScience/Research, Engineering Programming LanguageJava Related Categories Espresso Bio-Informatics Software, Java Data Visualization Software Registered 2014-02-14 Consistent Business Software
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  • Evo 2 Evo 2 is notable genomic foundation model capable of generalist prediction and design tasks across DNA, RNA, and proteins. The element uses a frontier deep study architecture by means of model biological sequential arrangements at single-nucleotide resolution, achieving near-linear scaling from compute and memory relative to… See Software
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