Suzanne S. Sindi Department of Applied Mathematics University of California, Merced Biography Publications Institution JoVE Articles Suzanne S. Sindi has not added a biography. If you are Suzanne S. Sindi and would like to personalize this page please email our Author Liaison for assistance. Publications Rules of Engagement: A Guide to Developing Agent-Based Models Methods in Molecular Biology (Clifton, N.J.). 2022 | Pubmed ID: 34719003 Nucleation Seed Size Determines Amyloid Clearance and Establishes a Barrier to Prion Appearance in Yeast Nature Structural & Molecular Biology. 06, 2020 | Pubmed ID: 32367069 How and Why to Build a Mathematical Model: A Case Study Using Prion Aggregation The Journal of Biological Chemistry. 04, 2020 | Pubmed ID: 32005659 Generalizing a Mathematical Model of Prion Aggregation Allows Strain Coexistence and Co-stability by Including a Novel Misfolded Species Journal of Mathematical Biology. 01, 2019 | Pubmed ID: 30116882 Modeling Transposable Element Dynamics with Fragmentation Equations Mathematical Biosciences. 08, 2018 | Pubmed ID: 29787745 Culturomics As a Data Playground for Tests of Selection: Mathematical Approaches to Detecting Selection in Word Use Journal of Theoretical Biology. 09, 2016 | Pubmed ID: 26802483 A Mathematical Model of the Dynamics of Prion Aggregates with Chaperone-mediated Fragmentation Journal of Mathematical Biology. May, 2016 | Pubmed ID: 26297259 Profilage à l’échelle du génome des interactions de liaison facteur de transcription-ADN chez Candida albicans: une méthode CUT&RUN complète et un flux de travail d’analyse des données Mohammad N. Qasim*1,2, Ashley Valle Arevalo*1,2, Akshay D. Paropkari*1,2, Craig L. Ennis1,2,4, Suzanne S. Sindi3, Clarissa J. Nobile1,4, Aaron D. Hernday1,4 1Department of Molecular and Cell Biology, University of California, Merced, 2Quantitative and Systems Biology Graduate Program, University of California, Merced, 3Department of Applied Mathematics, University of California, Merced, 4Health Sciences Research Institute, University of California, Merced JoVE 63655 Biology
Profilage à l’échelle du génome des interactions de liaison facteur de transcription-ADN chez Candida albicans: une méthode CUT&RUN complète et un flux de travail d’analyse des données Mohammad N. Qasim*1,2, Ashley Valle Arevalo*1,2, Akshay D. Paropkari*1,2, Craig L. Ennis1,2,4, Suzanne S. Sindi3, Clarissa J. Nobile1,4, Aaron D. Hernday1,4 1Department of Molecular and Cell Biology, University of California, Merced, 2Quantitative and Systems Biology Graduate Program, University of California, Merced, 3Department of Applied Mathematics, University of California, Merced, 4Health Sciences Research Institute, University of California, Merced JoVE 63655 Biology
