Literature DB >> 25911462

Training the 21st Century Immunologist.

Roberto Spreafico1, Simon Mitchell1, Alexander Hoffmann2.   

Abstract

Immunology, along with other fields of biology, is undergoing a revolution. Here we discuss the challenges and opportunities presented by considering the dynamical systems properties of the immune system, and harnessing the power of data-rich technologies. We present specific recommendations for changing graduate programs to incorporate training that will enable students to actively participate in the analyses of complex data and their biological system, and urge that we move from viewing quantitative and computational biology as interdisciplinary, to recognizing these as intrinsic to the discipline of immunology going forward.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 25911462     DOI: 10.1016/j.it.2015.04.001

Source DB:  PubMed          Journal:  Trends Immunol        ISSN: 1471-4906            Impact factor:   16.687


  5 in total

1.  Computational and Systems Immunology: A Student's Perspective.

Authors:  Zinaida Good; Jacob Glanville; Marvin H Gee; Mark M Davis; Purvesh Khatri
Journal:  Trends Immunol       Date:  2019-07-06       Impact factor: 16.687

2.  Learning from Heterogeneous Data Sources: An Application in Spatial Proteomics.

Authors:  Lisa M Breckels; Sean B Holden; David Wojnar; Claire M Mulvey; Andy Christoforou; Arnoud Groen; Matthew W B Trotter; Oliver Kohlbacher; Kathryn S Lilley; Laurent Gatto
Journal:  PLoS Comput Biol       Date:  2016-05-13       Impact factor: 4.475

3.  LCK as a Potential Therapeutic Target for Acute Rejection after Kidney Transplantation: A Bioinformatics Clue.

Authors:  Linpei Jia; Rufu Jia; Yinping Li; Xiaoxia Li; Qiang Jia; Hongliang Zhang
Journal:  J Immunol Res       Date:  2018-06-07       Impact factor: 4.818

4.  Out of the Curricular Shadows: Revolutionizing Undergraduate Immunology Education.

Authors:  Heather A Bruns; Jill Deaver; Louis B Justement
Journal:  Front Immunol       Date:  2019-10-15       Impact factor: 7.561

Review 5.  Mathematical Models for Immunology: Current State of the Art and Future Research Directions.

Authors:  Raluca Eftimie; Joseph J Gillard; Doreen A Cantrell
Journal:  Bull Math Biol       Date:  2016-10-06       Impact factor: 1.758

  5 in total

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