Mirdita Milot, Steinegger Martin, Söding Johannes
Quantitative and Computational Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.
Department of Chemistry, Seoul National University, Seoul, Korea.
Bioinformatics. 2019 Aug 15;35(16):2856-2858. doi: 10.1093/bioinformatics/bty1057.
The MMseqs2 desktop and web server app facilitates interactive sequence searches through custom protein sequence and profile databases on personal workstations. By eliminating MMseqs2's runtime overhead, we reduced response times to a few seconds at sensitivities close to BLAST.
The app is easy to install for non-experts. GPLv3-licensed code, pre-built desktop app packages for Windows, MacOS and Linux, Docker images for the web server application and a demo web server are available at https://search.mmseqs.com.
Supplementary data are available at Bioinformatics online.
MMseqs2桌面和网络服务器应用程序便于在个人工作站上通过自定义蛋白质序列和轮廓数据库进行交互式序列搜索。通过消除MMseqs2的运行时开销，我们将响应时间缩短至几秒，灵敏度接近BLAST。
该应用程序非专业人员也易于安装。遵循GPLv3许可的代码、适用于Windows、MacOS和Linux的预构建桌面应用程序包、网络服务器应用程序的Docker镜像以及演示网络服务器可在https://search.mmseqs.com获取。
补充数据可在《生物信息学》在线版获取。
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