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Immunoinformatics IMMUNOINFORMATICS AUTHOR INFORMATION PACK TABLE OF CONTENTS XXX . • Description p.1 • Editorial Board p.1 • Guide for Authors p.4 ISSN: 2667-1190 DESCRIPTION . ImmunoInformatics is an open access cross-disciplinary journal committed to publishing cutting edge research in all aspects of immunoinformatics and computational immunology; from core methodological approaches to translational applications both for academic and industrial researchers. ImmunoInformatics is an international journal publishing peer reviewed research which sits at the interface between computer science, physics, mathematics, and experimental immunology. The journal welcomes theoretical contributions which provide a deeper understanding of the field while also covering practical aspects with contributions on advances and applications in clinical medicine. ImmunoInformatics invites the following types of papers: Research articles which emphasize original results related to theoretical and practical aspects of computational immunology, in close connection with applications to immunomics, systems immunology, and biomedicine. Literature reviews on immunoinformatics and related fields. Tutorial articles that emphasize the strong interdisciplinary component of immunoinformatics. Research letters that allow for the rapid publication of special short communications. Reports on meetings including but not restricted to conferences, workshops, and seminars. Perspectives that report views on topics of the immunoinformatics field that are important to readers. Commentaries that discuss previously published articles or a theme that is an important area of focus. Areas covered include (but are not limited to): Immunomics, Bioinformatics, Systems immunology, Database design, In silico vaccination, Design and engineering of immune diagnostics and therapeutics, Host-pathogen interactions, Computational image analysis, Mathematical and/or physics-based modelling, Tumor immunology, Machine learning, Translational research. EDITORIAL BOARD . Editors-in-Chief Niels Halama, German Cancer Research Center Division of Translational Immunotherapy, Heidelberg, Germany Medical oncology, tumor immunology, computational biomedicine Doron Levy, University of Maryland at College Park Department of Mathematics, College Park, Maryland, United States of America Mathematical Modeling of BioMedical Systems, Cancer dynamics, Applied partial differential equations, Applied dynamical systems, Numerical Analysis AUTHOR INFORMATION PACK 28 Sep 2021 www.elsevier.com/locate/immuno 1 Handling Editor Nektarios A. Valous, German Cancer Research Center Clinical Cooperation Unit Applied Tumor-Immunity, Heidelberg, Germany Computational image analysis, computational biomedicine, interdisciplinary physics Associate Editors Elana Fertig, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America Systems biology and bioinformatics, precision medicine, single cell technologies Paul Macklin, Indiana University, Luddy School of Informatics, Computing, and Engineering, Bloomington, United States of America Computational biology, multicellular systems biology, simulation modelling Sai Reddy, ETH Zurich Department of Biosystems Science and Engineering, Basel, Switzerland Systems immunology, synthetic immunology, biotechnology Gur Yaari, Bar-Ilan University, Ramat Gan, Israel bioinformatics, data science, Systems immunology Yoichiro Yamamoto, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan Computational pathology, machine learning, precision medicine Editorial Board Members Folashade Agusto, The University of Kansas, Lawrence, Kansas, United States of America Mathematical modelling, Evolutionary dynamics, Infectious diseases dynamics Benedikt Brors, German Cancer Research Center Division of Applied Bioinformatics, Heidelberg, Germany Bioinformatics, cancer genomics, precision medicine Pornpimol Charoentong, National Center for Tumor Diseases Department of Medical Oncology, Heidelberg, Germany Cancer genomics, computational biology, mathematical modelling Lauren Childs, Virginia Polytechnic Institute and State University Department of Mathematics, Blacksburg, Virginia, United States of America Mathematical modelling, computational modelling, infectious diseases dynamics Regine J Dress, University Medical Center Hamburg-Eppendorf, Hamburg, Germany Systems immunology, myeloid cells, infection immunology Raluca Eftimie, Franche-Comte University, Besançon, France Mathematical biology, mathematical modelling, pattern formation, scientific computing Christine Engeland, National Center for Tumor Diseases Department of Medical Oncology, Heidelberg, Germany Cancer immunotherapy, oncolytic virotherapy, cancer gene therapy Milana Frenkel-Morgenstern, Bar-Ilan University, Ramat Gan, Israel Liquid biopsy, Immunoinformatics, Complex diseases, Chimeric RNAs, Gene fusions Feng Fu, Dartmouth College Department of Mathematics, Hanover, New Hampshire, United States of America Mathematical modelling, computational data science, evolutionary dynamics Victor Greiff, Oslo University Hospital Department of Immunology, Oslo, Norway Computational immunology, precision medicine, machine learning Thomas Hagan, Cincinnatti Children's Hospital Medical Center Division of Infectious Diseases, Cincinnati, Ohio, United States of America Systems vaccinology, data integration, immune-microbiome interaction Feng He, Luxembourg Institute of Health Department of Infection and Immunity, Luxembourg, Luxembourg Immune systems biology, network biology, translational medicine Adrianne Jenner, Queensland University of Technology, Brisbane, Queensland, Australia Computational biology, systems immunology, data science Vanessa D. Jonsson, University of California Santa Cruz, Santa Cruz, California, United States of America Immunogenomics, Cancer Immunotherapy, Computational and Systems biology, Evolutionary Dynamics Jakob Nikolas Kather, University Hospital Aachen Department of Gastroenterology Metabolic Disorders and Intensive Medicine, Aachen, Germany Computational oncology, machine learning, computational modelling Can Keşmir, Utrecht University Institute of Biodynamics and Biocomplexity, Utrecht, Netherlands Immunobiology, immunological bioinformatics, systems biology Hans-Ulrich Klein, Columbia University Irving Medical Center, New York, New York, United States of America Computational neuroimmunology, multi-omic data integration, neurodegenerative diseases Johanna Klughammer, Ludwig Maximilian University Munich Gene Center Munich, München, Germany Systems immunology, computational (epi-) genomics and transcriptomics, spatio-molecular tissue organization Anna Konstorum, Yale University Department of Pathology, New Haven, Connecticut, United States of America Mathematical modeling, systems cancer biology, integrative bioinformatics Hashem Koohy, Weatherall Institute of Molecular Medicine, Oxford, United Kingdom AUTHOR INFORMATION PACK 28 Sep 2021 www.elsevier.com/locate/immuno 2 Systems immunology, T cell recognition of pathogens, integrative multi-omics data science Geert Litjens, Radboud University Nijmegen Department of Pathology, Nijmegen, Netherlands Computational pathology, machine learning, medical imaging Yoram Louzoun, Bar-Ilan University Department of Mathematics, Ramat Gan, Israel T-cell receptors, machine learning, MHC Fabio Luciani, University of New South Wales School of Medical Sciences, Sydney, Australia Systems immunology, bioinformatics, mathematical modelling Andrew Martin, University College London Division of Biosciences, London, United Kingdom Structural bioinformatics, structural immunology, machine learning, antibody modelling Ismini Papageorgiou, South Harz Hospital Nordhausen Institute of Radiology, Nordhausen, Germany Neuroradiology, neuropathology, neuroimmunology Nikolai Petrovsky, Flinders University College of Medicine and Public Health, Bedford Park, Australia Immunoinformatics, biotechnology, drug screening, vaccine design, adjuvants Marta E Polak, University of Southampton Faculty of Medicine, Southampton, United Kingdom Systems immunology, gene regulatory networks, transcriptomics Jan Poleszczuk, Nalecz Institute of Biocybernetics and Biomedical Engineering Polish Academy of Sciences, Warszawa, Poland Computational oncology, mathematical modelling, computational biomedicine Ioannis Prassas, Mount Sinai Hospital Pathology and Laboratory Medicine, Toronto, Ontario, Canada Immunoproteomics, autoantibodies, humoral immunity Constantino Carlos Reyes-Aldasoro, City University of London Department of Computer Science, London, United Kingdom Biomedical image analysis, visualization, machine learning María Rodríguez Martínez, IBM Zurich Research Laboratory, Zurich, Switzerland Multi-scale models of adaptive immunity, AI-driven binding affinity models, single-cell modeling, personalized medicine, cancer immunotherapies Alexander Rubinsteyn, University of North Carolina at Chapel Hill Department of Genetics, Chapel Hill, North Carolina, United States of America Computational immunology, cancer genomics, machine learning Yana Safonova, University of California San Diego Department of Computer Science and Engineering, La Jolla, California, United States of America Immunogenomics, computational immunology, bioinformatics Shamith Samarajiwa, MRC Cancer Unit, Cambridge, United Kingdom Computational biology, genomic data science, regulatory dynamics Meggy Suarez-Carmona, German Cancer Research Center Division of Translational Immunotherapy, Heidelberg, Germany Cancer immunotherapy, tumor microenvironment,
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