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Proceedings of the 16th Annual UT-KBRIN bioinformatics Summit 2016: proceedings

BMC Proceedings 2017年第9期11卷 1-6页

作者： L. Leon Dent Sammed N. Mandape Siddharth Pratap Jianan Dong Jamaine Davis Jennifer A. Gaddy Kofi Amoah Steve Damo Dana R. Marshall Jacob Jones Toni Brandt Gilberto Diaz Qingguo Wang Todd Gary Ashwini Yenamandra Marina Z. Ghattas Marwa Elrakaiby Ramy K. Aziz Hamdallah H. Zedan Moamen Elmassry Marwa ElRakaiby Mariam Lotfy Jarrad Marcel Rania A. Khattab Maha M. Abdelfattah Jack A. Gilbert Pouya Dini Shavahn C. Loux Kirsten E. Scoggin Alejandro Esteller-Vico Edward L. Squires Mats H. T. Troedsson Barry A. Ball Peter Daels Kalpani De Silva Ernest Bailey Joel C. Stephens Theodore S. Kalbfleisch Christine E. Dolin Lauren G. Poole Gavin E. Arteel Michael L. Merchant Daniel W. Wilkey Michelle T. Barati Eric C. Rouchka Richard M. Higashi Teresa W-M Fan Hunter Moseley Andrew N Lane Department of Surgery Meharry Medical College Nashville TN 37208 USA Bioinformatics Core Meharry Medical College Nashville TN 37208 USA Department of Biochemistry and Cancer Biology Meharry Medical College Nashville TN 37208 USA Department of Medicine Vanderbilt University Medical Center Nashville TN 37232 USA Department of Life and Physical Sciences Fisk University Nashville TN 37208 USA Department of Pathology Anatomy and Cell Biology Meharry Medical College Nashville TN 37208 USA College of Computing and Technology Lipscomb University 1 University Park Drive Nashville TN 37204 USA Vanderbilt University Medical Center Nashville TN 37232 USA Office of Research Middle Tennessee State University 1301 East Main St Murfreesboro TN 37132 USA Department of Microbiology and Immunology Faculty of Pharmacy Cairo University Cairo Egypt Department of Biological Sciences Texas Tech University Lubbock TX 79409 USA Clinical Operations Department Ray-Clinical Research Organization Giza Egypt Genomic and Systems Biology Bioscience Division Argonne National Laboratory Argonne IL 60439 USA Research Institute of Ophthalmology Giza Egypt Department of Surgery University of Chicago Chicago IL 60637 USA Microbial Ecology Group Argonne National Laboratory Argonne IL 60439 USA Department of Veterinary Science University of Kentucky Lexington KY 40536 USA Department of Reproduction Faculty of Veterinary Medicine University of Gent Merelbeke Belgium Interdisciplinary Studies Program: Specialization in Bioinformatics University of Louisville Louisville KY 40292 USA Department of Veterinary Science University of Kentucky Lexington KY 40506 USA Genomics GPS Guilford CT 06437 USA Department of Biochemistry and Molecular Genetics School of Medicine University of Louisville Louisville KY 40292 USA Department of Pharmacology & Toxicology University of Louisville Louisville KY 40202 USA Department of Medicine University of Louisville

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Characterization of primary Sjögren's syndrome in the Taiwan Han population through a genome-wide association study and polygenic risk score analysis

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Clinical Immunology 2024年 269卷 110381-110381页

作者： Liu, Ting-Yuan Lin, Min-Rou Lu, Hsing-Fang Chen, Yu-Chia Lin, Hui-Ju Chou, Wan-Hsuan Wei, Chun-Yu Palupi, Poppy Diah Liao, Chi-Chou Chang, Yen-Ting Chang, Wei-Chiao Tsai, Fuu-Jen Department of Medical Research China Medical University Hospital China Medical University Taichung 40447 Taiwan Department of Clinical Pharmacy School of Pharmacy Taipei Medical University Taipei 110 Taiwan Department of Ophthalmology Eye Center China Medical University Hospital Taichung 40447 Taiwan Master Program in Clinical Genomics and Proteomics School of Pharmacy Taipei Medical University Taipei 110 Taiwan Core Laboratory of Neoantigen Analysis for Personalized Cancer Vaccine Office of R&D Taipei Medical University Taipei 110 Taiwan Integrative Research Center in Critical Care Wanfang Hospital Taipei Medical University Taipei 116 Taiwan Department of Pharmacy Wan Fang Hospital Taipei Medical University Taipei 110 Taiwan Department of Pharmacology National Defense Medical Center Taipei 110 Taiwan Department of Medical Research China Medical University Hospital Taichung 40402 Taiwan School of Chinese Medicine China Medical University Taichung 40402 Taiwan Division of Pediatric Medical Genetics Children's Hospital of China Medical University Taichung 40447 Taiwan Department of Biotechnology and Bioinformatics Asia University Taichung 41354 Taiwan

Background: Sjögren's syndrome (SS) is an autoimmune disorder that primarily affects the exocrine glands, leading to dryness of mucous membranes and systemic manifestations. This study aimed to identify genetic markers associated with primary SS (pSS) in the Taiwan Han population through a hospital-based genome-wide association study (GWAS) and polygenic risk score (PRS) analysis, addressing the lack of genetic research. Results: This study included 11,390 patients diagnosed with pSS and 113,900 controls. GWAS identified one known locus and eight novel loci. Known HLA alleles, including HLA-DRB1*15:01 and HLA-DQA1*03:01, were successfully replicated in a consistent effect direction. PRS analysis revealed that several autoimmune diseases share similar genetic backgrounds with pSS, including rheumatoid arthritis and systemic lupus erythematosus. Conclusion: This study represents the largest cohort to date on the genetics of pSS in the Taiwan Han population. Our findings provide valuable insights into the pathogenesis of pSS and emphasize the comorbidities associated with it as an autoimmune disease. © 2024

关键词： Gene polymorphism Genome-wide association study (GWAS) Human leukocyte antigen (HLA) Phenome-wide association study (PheWAS) Polygenic risk score (PRS) Sjögren's syndrome

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Weight, habitual fibre intake, and microbiome composition predict tolerance to fructan supplementation

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Journal of Plant Foods 2024年第6期75卷

作者： Jeffrey Letourneau Benjamin C. Neubert Diana Dayal Verónica M. Carrion Heather K. Durand Eric P. Dallow Sharon Jiang Michelle Kirtley Geoffrey S. Ginsburg P. Murali Doraiswamy Lawrence A. David a Department of Molecular Genetics and Microbiology Duke University School of Medicine Durham NC USA b Program in Computational Biology and Bioinformatics Duke University School of Medicine Durham NC USA c School of Medicine University of North Carolina Chapel Hill NC USA d Duke Office of Clinical Research Duke University Durham NC USA e Duke Center for Applied Genomics and Precision Medicine Duke University Health System Durham NC USAf Department of Medicine Duke University School of Medicine Durham NC USA e Duke Center for Applied Genomics and Precision Medicine Duke University Health System Durham NC USAf Department of Medicine Duke University School of Medicine Durham NC USAg Department of Psychiatry Duke University School of Medicine Durham NC USAh Duke Microbiome Center Duke University School of Medicine Durham NC USA a Department of Molecular Genetics and Microbiology Duke University School of Medicine Durham NC USAb Program in Computational Biology and Bioinformatics Duke University School of Medicine Durham NC USAh Duke Microbiome Center Duke University School of Medicine Durham NC USA

Fructans are commonly used as dietary fibre supplements for their ability to promote the growth of beneficial gut microbes. However, fructan consumption has been associated with various dosage-dependent side effects. We characterised side effects in an exploratory analysis of a randomised trial in healthy adults (n= 40) who consumed 18 g/day inulin or placebo. We found that individuals weighing more or habitually consuming higher fibre exhibited the best tolerance. Furthermore, we identified associations between gut microbiome composition and host tolerance. Specifically, higher levels ofChristensenellaceae R-7 groupwere associated with gastrointestinal discomfort, and a machine-learning-based approach successfully predicted high levels of flatulence, with[Ruminococcus] torques groupand (Oscillospiraceae)UCG-002 *** as key predictive taxa. These data reveal trends that can help guide personalised recommendations for initial inulin dosage. Our results support prior ecological findings indicating that fibre supplementation has the greatest impact on individuals whose baseline fibre intake is lowest.

关键词： Microbiome inulin dietary fibre gastroenterology bioinformatics

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An open science study of ageing in companion dogs (vol 602, g 51, 2022)

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NATURE 2022年第7924期608卷 E33-E33页

作者： Creevy, Kate E. Akey, Joshua M. Kaeberlein, Matt Promislow, Daniel E. L. Department of Small Animal Clinical Sciences Texas A&M University College of Veterinary Medicine & Biomedical Sciences College Station TX USA Lewis-Sigler Institute for Integrative Genomics Princeton University Princeton NJ USA Department of Laboratory Medicine and Pathology University of Washington School of Medicine Seattle WA USA Department of Biology University of Washington Seattle WA USA Institute for Stem Cell and Regenerative Medicine University of Washington Seattle WA USA Department of Clinical Microbiology and Immunology Sackler Faculty of Medicine Tel Aviv University Tel Aviv Israel Blavatnik School of Computer Science Tel Aviv University Tel Aviv Israel Santa Fe Institute Santa Fe NM USA Cornell Veterinary Biobank College of Veterinary Medicine Cornell University Ithaca NY USA Department of Sociology University of Washington Seattle WA USA Center for Studies in Demography and Ecology Seattle WA USA Department of Small Animal Medicine and Surgery University of Georgia College of Veterinary Medicine Athens GA USA Department of Veterinary Physiology and Pharmacology Texas A&M University College of Veterinary Medicine & Biomedical Sciences College Station TX USA Department of Family Medicine University of Washington Seattle WA USA Department of Epidemiology University of Washington Seattle WA USA Department of Global Health University of Washington Seattle WA USA Epidemiology Program Fred Hutchinson Cancer Research Center Seattle WA USA Department of Veterinary Pathobiology Texas A&M University College of Veterinary Medicine & Biomedical Sciences College Station TX USA Bioinformatics and Integrative Biology University of Massachusetts Chan Medical School Worcester MA USA Broad Institute of MIT and Harvard Cambridge MA USA Department of Biostatistics University of Washington Seattle WA USA Division of Public Health Sciences Fred Hutchinson Cancer Research Center Seattle WA USA Department of Population Health Sciences Vir

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Resistance training and nutritional support improve sarcopenia with favorable changes in metabolomics and lipidomics

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Osteoporosis and Sarcopenia 2023年第4期9卷 S10-S10页

作者： Wei-Hsiang Hsu San-Yuan Wang Yen-Ming Chao Ke-Vin Chang Der-Sheng Han Yun-Lian Lin Department of Chinese Pharmaceutical Sciences and Chinese Medicine Resources China Medical University Taichung 40402 Taiwan Master Program in Clinical Genomics and Proteomics School of Pharmacy Taipei Medical University Taipei Taiwan Department of Physical Medicine and Rehabilitation National Taiwan University Hospital Bei-Hu Branch 10845 Taiwan Department of Physical Medicine and Rehabilitation National Taiwan University College of Medicine Taipei 10048 Taiwan Health Science and Wellness Center National Taiwan University Taipei 10617 Taiwan Department of Pharmacy National Taiwan University Taipei 10050 Taiwan

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Combined allelic dosage of Nfia and Nfib regulates cortical development

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Brain and neuroscience advances 2017年 1卷 2398212817739433页

作者： Jens Bunt Jason M Osinski Jonathan Wc Lim Diana Vidovic Yunan Ye Oressia Zalucki Timothy R O'Connor Lachlan Harris Richard M Gronostajski Linda J Richards Michael Piper The Queensland Brain Institute The University of Queensland Brisbane QLD Australia. Department of Biochemistry Program in Genetics Genomics and Bioinformatics Center of Excellence in Bioinformatics and Life Sciences State University of New York at Buffalo Buffalo New York USA. The School of Biomedical Sciences Faculty of Medicine The University of Queensland Brisbane QLD Australia. School of Chemical and Molecular Biosciences and Institute for Molecular Bioscience The University of Queensland Brisbane QLD Australia.

BACKGROUND:Nuclear factor I family members nuclear factor I A and nuclear factor I B play important roles during cerebral cortical development. Nuclear factor I A and nuclear factor I B regulate similar biological processes, as their expression patterns, regulation of target genes and individual knockout phenotypes overlap. We hypothesised that the combined allelic loss of and would culminate in more severe defects in the cerebral cortex than loss of a single member. METHODS:We combined immunofluorescence, co-immunoprecipitation, gene expression analysis and immunohistochemistry on knockout mouse models to investigate whether nuclear factor I A and nuclear factor I B function similarly and whether increasing allelic loss of and caused a more severe phenotype. RESULTS:We determined that the biological functions of nuclear factor I A and nuclear factor I B overlap during early cortical development. These proteins are co-expressed and can form heterodimers . Differentially regulated genes that are shared between and knockout mice are highly enriched for nuclear factor I binding sites in their promoters and are associated with neurodevelopment. We found that compound heterozygous deletion of both genes resulted in a cortical phenotype similar to that of single homozygous or knockout embryos. This was characterised by retention of the interhemispheric fissure, dysgenesis of the corpus callosum and a malformed dentate gyrus. Double homozygous knockout of and resulted in a more severe phenotype, with increased ventricular enlargement and decreased numbers of differentiated glia and neurons. CONCLUSION:In the developing cerebral cortex, nuclear factor I A and nuclear factor I B share similar biological functions and function additively, as the combined allelic loss of these genes directly correlates with the severity of the developmental brain phenotype.

关键词： Nuclear factor I corpus callosum cortical development hippocampus neocortex nuclear factor I A nuclear factor I B

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Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

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Nature 2024年第8003期627卷 347-357页

作者： Ken Suzuki Konstantinos Hatzikotoulas Lorraine Southam Henry J Taylor Xianyong Yin Kim M Lorenz Ravi Mandla Alicia Huerta-Chagoya Giorgio E M Melloni Stavroula Kanoni Nigel W Rayner Ozvan Bocher Ana Luiza Arruda Kyuto Sonehara Shinichi Namba Simon S K Lee Michael H Preuss Lauren E Petty Philip Schroeder Brett Vanderwerff Mart Kals Fiona Bragg Kuang Lin Xiuqing Guo Weihua Zhang Jie Yao Young Jin Kim Mariaelisa Graff Fumihiko Takeuchi Jana Nano Amel Lamri Masahiro Nakatochi Sanghoon Moon Robert A Scott James P Cook Jung-Jin Lee Ian Pan Daniel Taliun Esteban J Parra Jin-Fang Chai Lawrence F Bielak Yasuharu Tabara Yang Hai Gudmar Thorleifsson Niels Grarup Tamar Sofer Matthias Wuttke Chloé Sarnowski Christian Gieger Darryl Nousome Stella Trompet Soo-Heon Kwak Jirong Long Meng Sun Lin Tong Wei-Min Chen Suraj S Nongmaithem Raymond Noordam Victor J Y Lim Claudia H T Tam Yoonjung Yoonie Joo Chien-Hsiun Chen Laura M Raffield Bram Peter Prins Aude Nicolas Lisa R Yanek Guanjie Chen Jennifer A Brody Edmond Kabagambe Ping An Anny H Xiang Hyeok Sun Choi Brian E Cade Jingyi Tan K Alaine Broadaway Alice Williamson Zoha Kamali Jinrui Cui Manonanthini Thangam Linda S Adair Adebowale Adeyemo Carlos A Aguilar-Salinas Tarunveer S Ahluwalia Sonia S Anand Alain Bertoni Jette Bork-Jensen Ivan Brandslund Thomas A Buchanan Charles F Burant Adam S Butterworth Mickaël Canouil Juliana C N Chan Li-Ching Chang Miao-Li Chee Ji Chen Shyh-Huei Chen Yuan-Tsong Chen Zhengming Chen Lee-Ming Chuang Mary Cushman John Danesh Swapan K Das H Janaka de Silva George Dedoussis Latchezar Dimitrov Ayo P Doumatey Shufa Du Qing Duan Kai-Uwe Eckardt Leslie S Emery Daniel S Evans Michele K Evans Krista Fischer James S Floyd Ian Ford Oscar H Franco Timothy M Frayling Barry I Freedman Pauline Genter Hertzel C Gerstein Vilmantas Giedraitis Clicerio González-Villalpando Maria Elena González-Villalpando Penny Gordon-Larsen Myron Gross Lindsay A Guare Sophie Hackinger Liisa Hakaste Sohee Han Andrew T Hattersley Christian Herder Momoko Horikoshi Annie-Green Howard Willa Centre for Genetics and Genomics Versus Arthritis Centre for Musculoskeletal Research Division of Musculoskeletal and Dermatological Sciences University of Manchester Manchester UK. Department of Diabetes and Metabolic Diseases Graduate School of Medicine University of Tokyo Tokyo Japan. Department of Statistical Genetics Osaka University Graduate School of Medicine Suita Japan. Institute of Translational Genomics Helmholtz Zentrum München German Research Center for Environmental Health Neuherberg Germany. konstantinos.hatzikotoulas@helmholtz-munich.de. Institute of Translational Genomics Helmholtz Zentrum München German Research Center for Environmental Health Neuherberg Germany. Center for Precision Health Research National Human Genome Research Institute National Institutes of Health Bethesda MD USA. British Heart Foundation Cardiovascular Epidemiology Unit Department of Public Health and Primary Care University of Cambridge Cambridge UK. Heart and Lung Research Institute University of Cambridge Cambridge UK. Department of Epidemiology School of Public Health Nanjing Medical University Nanjing China. Department of Biostatistics and Center for Statistical Genetics University of Michigan Ann Arbor MI USA. Corporal Michael J. Crescenz VA Medical Center Philadelphia PA USA. Department of Systems Pharmacology and Translational Therapeutics University of Pennsylvania Perelman School of Medicine Philadelphia PA USA. Department of Genetics University of Pennsylvania Perelman School of Medicine Philadelphia PA USA. Programs in Metabolism and Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA USA. Diabetes Unit and Center for Genomic Medicine Massachusetts General Hospital Boston MA USA. TIMI Study Group Division of Cardiovascular Medicine Brigham and Women's Hospital Harvard Medical School Boston MA USA. William Harvey Research Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London L

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes and molecular mechanisms that are often specific to cell type. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 × 10) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.

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Democratising Knowledge Representation with BioCypher

arXiv

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arXiv 2022年

作者： Lobentanzer, Sebastian Aloy, Patrick Baumbach, Jan Bohar, Balazs Charoentong, Pornpimol Danhauser, Katharina Doğan, Tunca Dreo, Johann Dunham, Ian Fernandez-Torras, Adrià Gyori, Benjamin M. Hartung, Michael Hoyt, Charles Tapley Klein, Christoph Korcsmaros, Tamas Maier, Andreas Mann, Matthias Ochoa, David Pareja-Lorente, Elena Popp, Ferdinand Preusse, Martin Probul, Niklas Schwikowski, Benno Sen, Bünyamin Strauss, Maximilian T. Turei, Denes Ulusoy, Erva Heidrun Wodke, Judith Andrea Saez-Rodriguez, Julio Heidelberg University Faculty of Medicine Heidelberg University Hospital Institute for Computational Biomedicine Bioquant Heidelberg Germany The Barcelona Institute of Science and Technology Catalonia Barcelona Spain Catalonia Barcelona Spain Institute for Computational Systems Biology University of Hamburg Germany Earlham Institute Norwich United Kingdom Biological Research Centre Szeged Hungary Heidelberg University Im Neuenheimer Feld 267 Heidelberg69120 Germany Im Neuenheimer Feld 460 Heidelberg69120 Germany Department of Pediatrics Dr. von Hauner Children’s Hospital University Hospital LMU Munich Germany Biological Data Science Lab Department of Computer Engineering Hacettepe University Ankara Turkey Department of Bioinformatics Graduate School of Health Sciences Hacettepe University Ankara Turkey Computational Systems Biomedicine Lab Department of Computational Biology Institut Pasteur Université Paris Cité Paris France Bioinformatics and Biostatistics Hub Institut Pasteur Université Paris Cité Paris France Wellcome Genome Campus Cambridgeshire HinxtonCB10 1SD United Kingdom Open Targets Wellcome Genome Campus Cambridgeshire HinxtonCB10 1SD United Kingdom Laboratory of Systems Pharmacology Harvard Medical School Boston United States Imperial College London London United Kingdom Quadram Institute Bioscience Norwich United Kingdom Proteomics Program Novo Nordisk Foundation Centre for Protein Research University of Copenhagen Copenhagen Denmark Department of Proteomics and Signal Transduction Max Planck Institute of Biochemistry Martinsried Germany Im Neuenheimer Feld 460 Heidelberg69120 Germany Neuherberg Germany Medical Informatics Laboratory University Medicine Greifswald Germany

Standardising the representation of biomedical knowledge among all researchers is an insurmountable task, hindering the effectiveness of many computational methods. To facilitate harmonisation and interoperability despite this fundamental challenge, we propose to standardise the framework of knowledge graph creation instead. We implement this standardisation in BioCypher, a FAIR (findable, accessible, interoperable, reusable) framework to transparently build biomedical knowledge graphs while preserving provenances of the source data. Mapping the knowledge onto biomedical ontologies helps to balance the needs for harmonisation, human and machine readability, and ease of use and accessibility to nonspecialist researchers. We demonstrate the usefulness of this framework on a variety of use cases, from maintenance of task-specific knowledge stores, to interoperability between biomedical domains, to on-demand building of task-specific knowledge graphs for federated learning. BioCypher (https://***) frees up valuable developer time;we encourage further development and usage by the community. © 2022, CC BY-NC-ND.

关键词： Ontology

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Proceedings of the 16th Annual UT-KBRIN bioinformatics Summit 2016: bioinformatics

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BMC bioinformatics 2017年第9期18卷 1-9页

作者： Eric C. Rouchka Juw Won Park Julia H. Chariker David A. Tieri Shreedharkumar Rajurkar Vikas Singh Nishchal K. Verma Yan Cui Mark Farman Bradford Condon Jolanta Jaromczyk Neil Moore Jerzy Jaromczyk Daniel Harris Patrick Calie Eun Kyong Shin Robert L. Davis Arash Shaban-Nejad Joshua M. Mitchell Hunter N. B. Moseley Robert M. Flight Qing Jun Wang Richard M. Higashi Teresa W-M Fan Andrew N. Lane Liangqun Lu Bernie J Daigle Jr. Xi Chen Andrey Smelter Jerzy W. Jaromczyk Bailey K. Phan Nathaniel J. Serpico Ethan G. Toney Li Chen Caroline E. Melton Jennifer R. Mandel Bernie J. Daigle Jr. Hao Chen Kazi I. Zaman Ramin Homayouni Patrick J. Trainor Andrew P. DeFilippis Samantha M. Carlisle Shesh N. Rai Department of Computer Engineering and Computer Science University of Louisville Duthie Center for Engineering Louisville KY 40292 USA Kentucky Biomedical Research Infrastructure (KBRIN) Bioinformatics Core 522 East Gray Street Louisville KY 40292 USA Department of Psychological and Brain Sciences University of Louisville Louisville KY 40292 USA Department of Anatomical Sciences and Neurobiology University of Louisville Louisville KY 40292 USA Department of Electrical Engineering IIT Kanpur India Department of Microbiology Immunology and Biochemistry University of Tennessee Health Science Center Memphis TN 38103 USA Center for Integrative and Translational Genomics University of Tennessee Health Science Center Memphis TN 38103 USA Department of Plant Pathology University of Kentucky Lexington KY 40546 USA UK Healthcare Genomics University of Kentucky Lexington KY 40536 USA Department of Entomology & Plant Pathology University of Tennessee Knoxville TN 37996 USA Department of Forestry University of Kentucky Lexington KY 40506 USA Department of Computer Science University of Kentucky Lexington KY 40506 USA Department of Computer Science University of Kentucky Lexington KY 40508 USA Department of Biological Sciences Eastern Kentucky University Richmond KY 40475 USA University of Tennessee Health Science Center – Oak-Ridge National Lab (UTHSC-ORNL) Center for Biomedical Informatics Department of Pediatrics Memphis TN 38103 USA Department of Molecular & Cellular Biochemistry University of Kentucky Lexington KY 40536 USA Markey Cancer Center University of Kentucky Lexington KY 40536 USA Center for Environmental and Systems Biochemistry University of Kentucky Lexington KY 40536 USA Institute for Biomedical Informatics University of Kentucky Lexington KY 40536 USA Department of Molecular and Cellular Biochemistry University of Kentucky Lexington KY 40536 USA Department of Statistics University of Kentucky Louisville KY

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An integrative and multiscale approach to study dengue virus-like particle dynamics

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Biophysical Journal 2023年第3期122卷 44a-44a页

作者： Venkata Raghuvamsi Palur Gielenny Salem Fan-Chi Chen Shang-Rung Wu Peter J. Bond Day-Yu Chao Jan K. Marzinek Bioinformatics Institute (A∗STAR) Singapore Republic of Singapore Graduate Institute of Microbiology and Public Health College of Veterinary Medicine National Chung Hsing University Taichung City Taiwan Microbial Genomics PhD Program National Chung Hsing University and Academia Sinica Taichung City Taiwan Department of Dentistry & Institute of Oral Medicine National Cheng Kung University Tainan Taiwan Department of Biological Sciences National University of Singapore Singapore Republic of Singapore

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