1.
INSIGHT: Ingest and Standardize Glucose Harmonization Tool
Ehlert B, Shah K, Katarya D, Wu Y, Wang T, Snyder MP
2.
A comparison of deep multiomics profiles across ethnicity, geography, and age
Barapour N; Cao JZ; Wu Y; Gupta S; Hoopmann MR; Qin R; Midha MK; Mireault M; Juanes-Velasco P; Hanson C et al.
3.
Modifiable Factors Affecting the Postprandial Glycemic Response
Wu, Y., McLaughlin, T., Gorgani, S., Scheideman, A. F., Shao, M. M., Hislop, B. D., Hoang, K., Perelman, D., McGinity, C., Rodgar, M., Park, H., Wang, T., Mayer, C., DuNova, A., Ayers, A., Ho, C., Ræder, H., Klonoff, D. C., Snyder, M. P.
4.
Use of Continuous Glucose Monitoring with Machine Learning to Identify Metabolic Subphenotypes and Inform Precision Lifestyle Changes.
Metwally AA, Park H, Wu Y, McLaughlin T, Snyder MP
5.
Origin of the clock in Neurospora crassa
Al-Omari, A., Altimus, C., Arnold, J., Arsenault, S., Bhandarkar, S., Bhusal, S., Caranica, C., Cheong, J. H., Deng, Z., Edison, A. S., Floyd, G., Griffith, J., Hull, B., Judge, M. T., Liu, Y., Mao, L., Mohanty, B., Qiu, X., Schüttler, H. B., Scruse, A., Taha, T., Wu, L., Wu, Y.
6.
Glucose360: An Open-Source Python Platform with Event-Based Integration for Continuous Glucose Monitoring Data Analysis
B Ehlert, D Aron, D Perelman, Y Wu, MP Snyder
7.
Prediction of metabolic subphenotypes of type 2 diabetes via continuous glucose monitoring and machine learning
Ahmed A Metwally, Dalia Perelman, Heyjun Park, Yue Wu, Alokkumar Jha, Seth Sharp, Alessandra Celli, Ekrem Ayhan, Fahim Abbasi, Anna L Gloyn, Tracey McLaughlin, Michael P Snyder
8.
High-resolution lifestyle profiling and metabolic subphenotypes of type 2 diabetes
Heyjun Park, Ahmed A Metwally, Alireza Delfarah, Yue Wu, Dalia Perelman, Caleb Mayer, Curtis McGinity, Majid Rodgar, Alessandra Celli, Tracey McLaughlin, Emmanuel Mignot, Michael Snyder
Reported by News Medical Life Science and World Today News
9.
Individual variations in glycemic responses to carbohydrates and underlying metabolic physiology
Yue Wu, Ben Ehlert, Ahmed A Metwally, Dalia Perelman, Heyjun Park, Andrew Wallace Brooks, Fahim Abbasi, Basil Michael, Alessandra Celli, Caroline Bejikian, Ekrem Ayhan, Yingzhou Lu, Samuel M Lancaster, Daniel Hornburg, Lucia Ramirez, David Bogumil, Sarah Pollock, Frank Wong, Denver Bradley, Georg Gutjahr, Ekanath Srihari Rangan, Tao Wang, Lettie McGuire, P Venkat Rangan, Helge Ræder, Zohar Shipony, Doron Lipson, Tracey McLaughlin, Michael P Snyder
Reported by News Medical Life Science, Genetic Engineering & Biotechnology News, Stanford Medicine News, Bioengineer.org, American Council on Science and Health, and Labmate
10.
MINE: a new way to design genetics experiments for discovery
Isaac Torres, Shufan Zhang, Amanda Bouffier, Michael Skaro, Yue Wu, Lauren Stupp, Jonathan Arnold, Y Anny Chung, H-Bernd Schuttler
11.
Computer vision models enable mixed linear modeling to predict arbuscular mycorrhizal fungal colonization using fungal morphology
Shufan Zhang, Yue Wu, Michael Skaro, Jia-Hwei Cheong, Amanda Bouffier-Landrum, Isaac Torrres, Yinping Guo, Lauren Stupp, Brooke Lincoln, Anna Prestel, Camryn Felt, Sedona Spann, Abhyuday Mandal, Nancy Johnson, Jonathan Arnold
12.
SAND: automated time-domain modeling of NMR spectra applied to metabolite quantification
Yue Wu, Omid Sanati, Mario Uchimiya, Krish Krishnamurthy, Jonathan Wedell, Jeffrey C Hoch, Arthur S Edison, Frank Delaglio
13.
Uncovering in vivo biochemical patterns from time-series metabolic dynamics
Yue Wu, Michael T Judge, Arthur S Edison, and Jonathan Arnold
14.
Characterizing the gene–environment interaction underlying natural morphological variation in Neurospora crassa conidiophores using high- throughput phenomics and transcriptomics
Emily K Krach, Michael Skaro, Yue Wu, Jonathan Arnold
15.
Wild Isolates of Neurospora crassa Reveal Three Conidiophore Architectural Phenotypes
Krach, E.K.; Wu, Y.; Skaro, M.; Mao, L.; Arnold, J.
16.
RTExtract: time-series NMR spectra quantification based on 3D surface ridge tracking
Yue Wu, Michael T Judge, Jonathan Arnold, Suchendra M Bhandarkar, Arthur S Edison
17.
Continuous in vivo Metabolism by NMR
Judge Michael T., Wu Yue, Tayyari Fariba, Hattori Ayuna, Glushka John, Ito Takahiro, Arnold Jonathan, Edison Arthur S
18.
Genome-Wide Analysis Reveals Ancestral Lack of Seventeen Different tRNAs and Clade-Specific Loss of tRNA-CNNs in Archaea
Wu Yue, Wu Ping, Wang Bin, Shao Zhu-Qing
19.
Transcription regulation by DNA methylation under stressful conditions in human cancer
Sha Cao, Yi Zhou, Yue Wu, Tianci Song, Burair Alsaihati, and Ying Xu
20.
Systematic analyses of glutamine and glutamate metabolisms across different cancer types
Yuan Tian, Wei Du, Sha Cao, Yue Wu, Ning Dong, Yan Wang, and Ying Xu
21.
Identification of Arbuscular Mycorrhiza (AM)-Responsive microRNAs in Tomato
Ping Wu, Yue Wu, Cheng-Chen Liu, Li-Wei Liu, Fang-Fang Ma, Xiao-Yi Wu, Mian Wu, Yue-Yu Hang, Jian-Qun Chen, Zhu-Qing Shao, and Bin Wang
22.
Large-scale analyses of angiosperm nucleotide-binding site-leucine-rich repeat (NBS-LRR) genes reveal three anciently diverged classes with distinct evolutionary patterns
Ping Wu, Yue Wu, Cheng-Chen Liu, Li-Wei Liu, Fang-Fang Ma, Xiao-Yi Wu, Mian Wu, Yue-Yu Hang, Jian-Qun Chen, Zhu-Qing Shao, and Bin Wang