Accepted Manuscript Title: Capturing Variations in Nuclear Phenotypes Authors: Sundaresan Raman (Conceptualization) (Data curation) (Formal analysis) (Funding acquisition) (Software) (Validation) (Visualization) (Writing - original draft) (Writing - review and editing), Shantanu Singh (Conceptualization) (Data curation) (Resources) (Software), Thierry P´ ecot (Software) (Resources), Enrico Caserta (Resources) (Methodology) (Project administration), Kun Huang (Supervision) (Resources), Jens Rittscher (Resources) (Writing - review and editing), Raghu Machiraju (Conceptualization) (Funding acquisition) (Validation) (Supervision) (Writing - review and editing), Gustavo Leone (Conceptualization) (Investigation) (Supervision) (Funding acquisition) (Methodology) (Project administration) (Resources) PII: S1877-7503(18)30758-0 DOI: https://doi.org/10.1016/j.jocs.2019.07.001 Reference: JOCS 1014 To appear in: Received date: 18 July 2018 Revised date: 6 March 2019 Accepted date: 4 July 2019 Please cite this article as: Raman S, Singh S, P´ ecot T, Caserta E, Huang K, Rittscher J, Machiraju R, Leone G, Capturing Variations in Nuclear Phenotypes, Journal of Computational Science (2019), https://doi.org/10.1016/j.jocs.2019.07.001 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.