Molecular Evolutionary Genetics Analysis (MEGA) for macOS

Molecular Evolutionary Genetics Analysis (MEGA) for macOS

January 6, 2020 | Glen Stecher, Koichiro Tamura, and Sudhir Kumar
The Molecular Evolutionary Genetics Analysis (MEGA) software has been updated to run natively on macOS, eliminating the need for virtualization or emulation tools previously required to use MEGA on Apple computers. This new version of MEGA for macOS utilizes memory and computing resources efficiently, and features a native Cocoa graphical user interface that provides a consistent user experience across macOS, Windows, and Linux. MEGA for macOS is available free of charge from www.megasoftware.net. MEGA for macOS is a 64-bit application, which allows it to use more than 4 GB of RAM, making it suitable for analyzing large contemporary datasets with intensive memory requirements. It has a native Cocoa API and widget set, which makes the graphical controls intuitive for macOS users. The user interface has been redesigned to match macOS conventions, including the placement of menus, buttons, and keyboard shortcuts. The development of MEGA for macOS was part of a broader effort to make MEGA fully cross-platform. The porting process required over two years of refactoring, reprogramming, debugging, and testing due to the relatively new nature of the 64-bit Cocoa API and the complexity of porting MEGA's sophisticated input and output explorer windows to macOS. MEGA for macOS is now available for download and provides the same facilities as its Windows and Linux counterparts for analyzing large-scale genomic data using many sophisticated methods in the MEGA software. It is also available through a command-line interface (MEGA-CC) for high throughput and iterative analysis. The MEGA software now runs natively on Windows, Linux, and macOS, providing a consistent user experience across platforms. This development addresses the need for cross-platform solutions due to the technology heterogeneity in contemporary research laboratories and classroom environments.The Molecular Evolutionary Genetics Analysis (MEGA) software has been updated to run natively on macOS, eliminating the need for virtualization or emulation tools previously required to use MEGA on Apple computers. This new version of MEGA for macOS utilizes memory and computing resources efficiently, and features a native Cocoa graphical user interface that provides a consistent user experience across macOS, Windows, and Linux. MEGA for macOS is available free of charge from www.megasoftware.net. MEGA for macOS is a 64-bit application, which allows it to use more than 4 GB of RAM, making it suitable for analyzing large contemporary datasets with intensive memory requirements. It has a native Cocoa API and widget set, which makes the graphical controls intuitive for macOS users. The user interface has been redesigned to match macOS conventions, including the placement of menus, buttons, and keyboard shortcuts. The development of MEGA for macOS was part of a broader effort to make MEGA fully cross-platform. The porting process required over two years of refactoring, reprogramming, debugging, and testing due to the relatively new nature of the 64-bit Cocoa API and the complexity of porting MEGA's sophisticated input and output explorer windows to macOS. MEGA for macOS is now available for download and provides the same facilities as its Windows and Linux counterparts for analyzing large-scale genomic data using many sophisticated methods in the MEGA software. It is also available through a command-line interface (MEGA-CC) for high throughput and iterative analysis. The MEGA software now runs natively on Windows, Linux, and macOS, providing a consistent user experience across platforms. This development addresses the need for cross-platform solutions due to the technology heterogeneity in contemporary research laboratories and classroom environments.
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