Advanced machine learning (ML) algorithms produce highly accurate models of gene expression, uncovering novel regulatory features in nucleotide sequences involving multiple cis-regulatory regions across whole genes and structural properties. These broaden our understanding of gene regulation and point to new principles to test and adopt in the field of plant science
In the past few years virtually every aspect of plant gene expression has been covered by thoughtful...
Conserved noncoding sequences (CNSs) in DNA are reliable pointers to regulatory elements controlling...
Controlling the expression of genes is one of the key challenges of synthetic biology. Until recentl...
Thesis (Ph.D.)--University of Washington, 2023Synthetic biology offers tools to modify plants in an ...
Plant responses to environmental and intrinsic signals are tightly controlled by multiple transcript...
Plant responses to environmental and intrinsic signals are tightly controlled by multiple transcript...
Data-driven machine learning is the method of choice for predicting molecular phenotypes from nucleo...
The transcription of protein encoding genes and their regulation in plant cells shows the signature ...
Data-driven machine learning is the method of choice for predicting molecular phenotypes from nucleo...
Plant responses to environmental and intrinsic signals are tightly controlled by multiple transcript...
Background: Transcriptional regulation plays an important role in the control of many biological pro...
Data-driven machine learning is the method of choice for predicting molecular phenotypes from nucleo...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Controlling the expression of genes is one of the key challenges of synthetic biology. Until recentl...
L'article original est publié par The American Society of Plant BiologistsInternational audienceDesp...
In the past few years virtually every aspect of plant gene expression has been covered by thoughtful...
Conserved noncoding sequences (CNSs) in DNA are reliable pointers to regulatory elements controlling...
Controlling the expression of genes is one of the key challenges of synthetic biology. Until recentl...
Thesis (Ph.D.)--University of Washington, 2023Synthetic biology offers tools to modify plants in an ...
Plant responses to environmental and intrinsic signals are tightly controlled by multiple transcript...
Plant responses to environmental and intrinsic signals are tightly controlled by multiple transcript...
Data-driven machine learning is the method of choice for predicting molecular phenotypes from nucleo...
The transcription of protein encoding genes and their regulation in plant cells shows the signature ...
Data-driven machine learning is the method of choice for predicting molecular phenotypes from nucleo...
Plant responses to environmental and intrinsic signals are tightly controlled by multiple transcript...
Background: Transcriptional regulation plays an important role in the control of many biological pro...
Data-driven machine learning is the method of choice for predicting molecular phenotypes from nucleo...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
Controlling the expression of genes is one of the key challenges of synthetic biology. Until recentl...
L'article original est publié par The American Society of Plant BiologistsInternational audienceDesp...
In the past few years virtually every aspect of plant gene expression has been covered by thoughtful...
Conserved noncoding sequences (CNSs) in DNA are reliable pointers to regulatory elements controlling...
Controlling the expression of genes is one of the key challenges of synthetic biology. Until recentl...
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