Opportunities and challenges of using metagenomic data to bring uncultured microbes into cultivation

S Liu, CD Moon, N Zheng, S Huws, S Zhao, J Wang - Microbiome, 2022 - Springer
Although there is now an extensive understanding of the diversity of microbial life on earth
through culture-independent metagenomic DNA sequence analyses, the isolation and …

Systems metabolic engineering meets machine learning: a new era for data‐driven metabolic engineering

KV Presnell, HS Alper - Biotechnology journal, 2019 - Wiley Online Library
The recent increase in high‐throughput capacity of 'omics datasets combined with advances
and interest in machine learning (ML) have created great opportunities for systems …

Review of machine learning methods for the prediction and reconstruction of metabolic pathways

HA Shah, J Liu, Z Yang, J Feng - Frontiers in Molecular Biosciences, 2021 - frontiersin.org
Prediction and reconstruction of metabolic pathways play significant roles in many fields
such as genetic engineering, metabolic engineering, drug discovery, and are becoming the …

Machine learning as an effective method for identifying true single nucleotide polymorphisms in polyploid plants

W Korani, JP Clevenger, Y Chu… - The Plant …, 2019 - Wiley Online Library
Single nucleotide polymorphisms (SNPs) have many advantages as molecular markers
since they are ubiquitous and codominant. However, the discovery of true SNPs in polyploid …

Promoter element engineering towards modulated and consistent gene expression

KV Presnell - 2023 - repositories.lib.utexas.edu
Metabolic engineering requires precise control over expression strength, which can be
effectively accomplished through engineering of the promoter element. In this regard, there …

[图书][B] Metabolic Pathway Engineering: Analysis and Applications in the Life Sciences

JF Challacombe - 2021 - taylorfrancis.com
Metabolic systems engineering combines the tools and approaches of systems biology,
synthetic biology, and evolutionary engineering. This book reviews studies on metabolism …

Machine learning as an effective method for identifying true SNPs in polyploid plants

W Korani, JP Clevenger, Y Chu, P Ozias-Akins - bioRxiv, 2018 - biorxiv.org
Abstract Single Nucleotide Polymorphisms (SNPs) have many advantages as molecular
markers since they are ubiquitous and co-dominant. However, the discovery of true SNPs …