MULTI-OMICS DRIVEN METABOLIC NETWORK RECONSTRUCTION AND ANALYSIS OF LIGNOCELLULOSIC CARBON UTILIZATION IN RHODOSPORIDIUM TORULOIDES

Multi-Omics Driven Metabolic Network Reconstruction and Analysis of Lignocellulosic Carbon Utilization in Rhodosporidium toruloides

An oleaginous yeast Rhodosporidium toruloides is a promising Crop Tee host for converting lignocellulosic biomass to bioproducts and biofuels.In this work, we performed multi-omics analysis of lignocellulosic carbon utilization in R.toruloides and reconstructed the genome-scale metabolic network of R.toruloides.High-quality metabolic network models

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Computer Vision-Based Assessment of Motor Functioning in Schizophrenia: Use of Smartphones for Remote Measurement of Schizophrenia Symptomatology

Introduction: Motor abnormalities have been shown to be a distinct component of schizophrenia symptomatology.However, objective and scalable methods for assessment of motor functioning in schizophrenia are lacking.Advancements in machine learning-based digital tools have allowed for automated and remote “digital phenotyping” of disease symptoma

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