Kelley James J, Lane Anatoliy, Li Xiaowei, Mutthoju Brahmaji, Maor Shay, Egen Dennis, Lun Desmond S
Center for Computational and Integrative Biology and Department of Computer Science, Rutgers University, Camden, NJ 08102, USA and Phenomics and Bioinformatics Research Centre and School of Mathematics and Statistics, University of South Australia, Mawson Lakes, SA 5095, Australia.
Center for Computational and Integrative Biology and Department of Computer Science, Rutgers University, Camden, NJ 08102, USA and Phenomics and Bioinformatics Research Centre and School of Mathematics and Statistics, University of South Australia, Mawson Lakes, SA 5095, Australia Center for Computational and Integrative Biology and Department of Computer Science, Rutgers University, Camden, NJ 08102, USA and Phenomics and Bioinformatics Research Centre and School of Mathematics and Statistics, University of South Australia, Mawson Lakes, SA 5095, Australia.
Bioinformatics. 2015 Feb 15;31(4):610-1. doi: 10.1093/bioinformatics/btu685. Epub 2014 Oct 17.
MOST (metabolic optimization and simulation tool) is a software package that implements GDBB (genetic design through branch and bound) in an intuitive user-friendly interface with excel-like editing functionality, as well as implementing FBA (flux balance analysis), and supporting systems biology markup language and comma-separated values files. GDBB is currently the fastest algorithm for finding gene knockouts predicted by FBA to increase production of desired products, but GDBB has only been available on a command line interface, which is difficult to use for those without programming knowledge, until the release of MOST.
MOST is distributed for free on the GNU General Public License. The software and full documentation are available at http://most.ccib.rutgers.edu/.
MOST(代谢优化与模拟工具)是一个软件包,它通过具有类似Excel编辑功能的直观用户友好界面实现了GDBB(通过分支定界法进行遗传设计),同时还实现了FBA(通量平衡分析),并支持系统生物学标记语言和逗号分隔值文件。GDBB是目前用于寻找FBA预测的基因敲除以增加所需产物产量的最快算法,但在MOST发布之前,GDBB仅通过命令行界面提供,这对于没有编程知识的人来说很难使用。
MOST根据GNU通用公共许可证免费分发。该软件和完整文档可在http://most.ccib.rutgers.edu/获取。