Visual-X2: interactive visualization and analysis tool for protein crystallization

Suraj Subedi, Imren Dinc, Truong X. Tran, Diwas Sharma, Buddha R. Shrestha, Marc L. Pusey, Ramazan S. Aygun

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

In high-throughput systems, the crystallization experiments require the inspection and analysis of a large number of trial images. The visualization and analysis tools are needed to view and analyze the experimental results, and recommend novel crystalline conditions by analyzing prior results. It is essential to integrate all these components into a single system. Therefore, we developed Visual-X2, an interactive visualization software developed to aid the user for quick and efficient visualization and analysis of the results of the experiments. Visual-X2 has a number of useful features for visualization and analysis: dual plate view (thumbnail and symbolic), detailed well view with scoring option, multiple-scan and time-course views, support for screening analysis based on multiple screens, three novel screen analysis methods (associative experimental design, GenScreen, and novelty methods), and generating pipetting file with a family of conditions varying concentrations based on stock concentration.

Original languageEnglish (US)
Article number15
JournalNetwork Modeling Analysis in Health Informatics and Bioinformatics
Volume9
Issue number1
DOIs
StatePublished - Dec 1 2020

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Computer Science Applications
  • Computer Networks and Communications
  • Urology
  • Computational Mathematics

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