Results 64-Bit Architecture of MEGA on macOS In the following, we present a brief description of MEGA for macOS. Therefore, we expect this new addition to the MEGA software to benefit many existing users and enable new ones to consider utilizing MEGA in their research and teaching endeavors. Beta test version of MEGA for macOS was downloaded at a fast pace: 4,000 times/month (MS Windows version is being downloaded ∼19,000 times/month). MEGA for macOS has a 64-bit computing architecture, and its user interface is programmed with Apple’s Cocoa widget set. We have now developed a version of MEGA that runs natively on macOS, eliminating the need for Wineskin virtualization and emulation. Also, continued production of MEGA+Wineskin is no longer possible due to the decreasing stability of Wineskin implementations over the years and the recent announcement that Apple will not support 32-bit applications as of macOS version 10.15 (Catalina). Third, the graphical user interface of the MEGA+Wineskin package is for Windows, resulting in a suboptimal experience for users accustomed to the graphical interface and keyboard commands on macOS. Second, MEGA+Wineskin packaging supported only 32-bit applications, so the 64-bit versions of MEGA for handling memory-intensive analyses of large contemporary data sets were not available to macOS users ( Kumar et al. First, it introduces an additional execution layer that degrades computational performance and stability. However, MEGA+Wineskin packaging suffers from many limitations. Many researchers and students showed interest in the MEGA+Wineskin package for macOS, as evidenced by >270,000-lifetime downloads. We previously supported researchers and students using Apple computers by bundling the Molecular Evolutionary Genetics Analysis (MEGA) software for Microsoft Windows with the Wineskin tool built on top of the WINE compatibility layer, which is capable of running Windows applications on other operating systems ( Kumar et al. The use of Apple’s macOS is widespread in research and education in the biological sciences, including evolution, genomics, and bioinformatics. Software, phylogenetics, cross-platform Introduction
0 kommentar(er)
