GENTANGLE: integrated computational design of gene entanglements

被引：0

作者：

Marti, Jose Manuel ^{[1
]}

Hsu, Chloe ^{[2
]}

Rochereau, Charlotte ^{[2
,3
]}

Xu, Chenling ^{[4
]}

Blazejewski, Tomasz ^{[3
]}

Nisonoff, Hunter ^{[2
]}

Leonard, Sean P.

Kang-Yun, Christina S. ^{[4
]}

Chlebek, Jennifer ^{[4
]}

Ricci, Dante P. ^{[4
]}

Park, Dan ^{[4
]}

Wang, Harris

Listgarten, Jennifer ^{[2
]}

Jiao, Yongqin ^{[4
]}

Allen, Jonathan E. ^{[1
]}

机构：

[1] Lawrence Livermore Natl Lab, Global Secur Comp Applicat Div, Livermore, CA 94550 USA

[2] Univ Calif Berkeley, Ctr Computat Biol, Berkeley, CA 94720 USA

[3] Columbia Univ, Dept Syst Biol, New York, NY 10023 USA

[4] Lawrence Livermore Natl Lab, Biosci & Biotechnol Div, Livermore, CA 94550 USA

来源：

BIOINFORMATICS | 2024年 / 40卷 / 07期

关键词：

D O I：

10.1093/bioinformatics/btae380

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The design of two overlapping genes in a microbial genome is an emerging technique for adding more reliable control mechanisms in engineered organisms for increased stability. The design of functional overlapping 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.

引用

页数：4

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