Search Results for "computer use"

...PyRx enables Medicinal Chemists to run Virtual Screening from any platform and helps users in every step of this process - from data preparation to job submission and analysis of the results. While it is true that there is no magic button in the drug discovery process, PyRx includes docking wizard with easy-to-use user interface which makes it a valuable tool for Computer-Aided Drug Design. PyRx also includes chemical spreadsheet-like functionality and powerful visualization engine that are essential for Rational Drug Design. Please visits PyRx home page to learn more about PyRx and watch videos on how to use it.

...Citing AntibiogramJ: A. Alonso, C. Domínguez, J. Heras, E. Mata, V. Pascual, C. Torres, and M. Zarazaga. AntibiogramJ: a Tool for Analysing Images from Disk Diffusion Tests. Computer Methods and Programs in Biomedicine 143:159-169. 2017. DOI: http://dx.doi.org/10.1016/j.cmpb.2017.03.010 You can see more information about AntibiogramJ in https://sourceforge.net/p/antibiogramj/wiki/Home/ Several videos explaining the use of AntibiogramJ are available in https://sourceforge.net/p/antibiogramj/wiki/Videos/ AntibiogramJ includes now the EUCAST v.9.0. ...

...This software was built upon the pre-existing Jmol package by Prof. Cheng's group. The software is developed in Prof. Jianlin Cheng's Bioinformatics, Data Mining and Machine Learning Laboratory in the Computer Science Department at the University of Missouri - Columbia, USA. The project is supported by the National Science Foundation (grant no. DBI1149224). If you 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 structure visualization." ...

...This method can generate three-dimensional chromosomal models satisfying a large portion of chromosomal contacts. The software is developed in Prof. Jianlin Cheng's Bioinformatics, Data Mining and Machine Learning Laboratory in the Computer Science Department at the University of Missouri - Columbia, USA. The project is supported by the National Science Foundation (grant no. DBI1149224). If you use Gen3D in your research, please cite: Nowotny, Jackson, Sharif Ahmed, Lingfei Xu, Oluwatosin Oluwadare, Hannah Chen, Noelan Hensley, Tuan Trieu, Renzhi Cao, and Jianlin Cheng. ...

...We demonstrate its (1) generality, by reconstructing cell lineages in four-dimensional, terabyte-sized image data of fruit-fly, zebrafish and mouse embryos, acquired with three different types of fluorescence microscopes, (2) scalability, by analyzing advanced stages of development with up to 20,000 cells per time point, at 26,000 cells min-1 on a single computer workstation, and (3) ease of use, by adjusting only two parameters across all data sets and providing visualization and editing tools for efficient data curation. Our approach achieves on average 97.0% linkage accuracy across all species and imaging modalities." *Please cite this paper if you use this code for your research