J
James J. Collins
Researcher at Massachusetts Institute of Technology
Publications - 700
Citations - 105255
James J. Collins is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Synthetic biology & Population. The author has an hindex of 151, co-authored 669 publications receiving 89476 citations. Previous affiliations of James J. Collins include Baylor College of Medicine & University at Albany, SUNY.
Papers
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Proceedings ArticleDOI
Ribocomputing devices for sophisticated in vivo logic computation
TL;DR: It is demonstrated how toehold switches can be incorporated into decision-making RNA networks termed ribocomputing devices to rapidly evaluate complex logic in living cells.
Journal ArticleDOI
Single-cell RNA-seq analyses show that long non-coding RNAs are conspicuously expressed in Schistosoma mansoni gamete and tegument progenitor cell populations
David A. Morales-Vicente,Lu Zhao,Gilbert O. Silveira,Ana Carolina Tahira,Murilo S. Amaral,James J. Collins,Sergio Verjovski-Almeida +6 more
TL;DR:
Journal ArticleDOI
P4.13 Growth hormone improves growth in Duchenne muscular dystrophy with steroid-induced growth failure
James J. Collins,Meilan M. Rutter,Jessica G. Woo,Susan R. Rose,Hemant Sawnani,Linda H. Cripe,K. Kinnet,Kan N Hor,Brenda Wong +8 more
Patent
Methods for experimental evolution of natural and synthetic microbes
Caleb J. Bashor,Jason H. Yang,Arnaud Gutierrez,Wooseok Steven Ahn,James J. Collins,Brandon G. Wong,Ahmad S. Khalil +6 more
TL;DR: In this article, a high-throughput continuous culture system and novel methodologies for the experimental evolution of natural and synthetic microbes using the continuous-culture system is presented. But the authors do not discuss the experimental performance of the system.
Journal ArticleDOI
BioAutoMATED: An end-to-end automated machine learning tool for explanation and design of biological sequences.
Jacqueline Valeri,Luis R. Soenksen,Katherine M. Collins,Pradeep Ramesh,Rani K. Powers,Nicolaas M. Angenent-Mari,Diogo M. Camacho,Felix Wong,Timothy K. Lu,James J. Collins +9 more
TL;DR: BioAutoMATED as mentioned in this paper is an AutoML platform for biological sequence analysis that integrates multiple AutoML methods into a unified framework, which can be used for analyzing, interpreting, and designing biological sequences.