BioinformaticsBioinformaticsPeer-reviewed journal article
GENTANGLE: integrated computational design of gene entanglements
Jose Manuel MartíiD, Chloe HsuiD, Charlotte RochereauiD, Chenling A. XuiD, Tomasz BlazejewskiiD, Hunter M. NisonoffiD, Sean P. LeonardiD, Christina S. Kang-YuniD, Jennifer L. ChlebekiD, Dante P. RicciiD, Dan M. ParkiD, Harris H. WangiD, Jennifer ListgarteniD, Yongqin JiaoiD, Jonathan AlleniD
Abstract
SummaryThe design of two overlapping genes in a microbial genome is an emerging technique for adding more reliable control mechanisms in engineered organisms for increased safety. The design of functional gene pairs is a challenging procedure and computational design tools are used to improve the efficiency to deploy successful designs in genetically engineered systems. GENTANGLE (Gene Tuples ArraNGed in overLapping Elements) is a high performance containerized pipeline for the computational design of two overlapping genes translated in different reading frames of the genome. This new software package can be used to design and test gene entanglements for microbial engineering projects using arbitrary sets of user specified gene pairs. Availability and ImplementationThe GENTANGLE source code and its submodules are freely available on GitHub at https://github.com/BiosecSFA/gentangle. The DATANGLE (DATA for genTANGLE) repository contains related data and results, and is freely available on GitHub at https://github.com/BiosecSFA/datangle. The GENTANGLE repository wiki contains detailed instructions on how to use the container and the different components of software and data, including reproducing the results. The code is licensed under the GNU Affero General Public License version 3 (https://www.gnu.org/licenses/agpl.html). Contactmartimartine1@llnl.gov and allen99@llnl.gov
- Citations
- 2
- FWCI
- 0.27
- Field percentile
- 46th percentile
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