Imperial College London

DrKonstantinNikolic

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Visiting Professor
 
 
 
//

Contact

 

+44 (0)20 7594 1594k.nikolic

 
 
//

Location

 

Bessemer 420CBessemer BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@inproceedings{Evans:2017:10.1109/BioCAS.2016.7833795,
author = {Evans, BD and Nikolic, K},
doi = {10.1109/BioCAS.2016.7833795},
pages = {316--319},
publisher = {IEEE},
title = {From bytes to insights with modelling as a service a new paradigm for computational modelling illustrated with PyRhO},
url = {http://dx.doi.org/10.1109/BioCAS.2016.7833795},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - Increasingly large datasets are being made publically available yet the methods and modelling skills to analyze them are lagging behind. In an effort to overcome barriers to analyzing and modelling data we propose the paradigm of Modelling as a Service (MaaS). As a proof-of-concept, we present a case study of the MaaS paradigm with computational tools for optogenetics based upon PyRhO. We demonstrate the benefits it confers in terms of enhanced scope for collaboration, reproducibility and ease of use, especially for scientists with a limited computational background, and discuss directions for future growth. Eventually we aim to grow this project in scope to encompass other modelling and analysis tools, and migrate to JupyterHub for persistent individual user accounts and storage. In the meantime, we hope that this approach will serve to demonstrate how MaaS can substantially increase the appeal and accessibility of modelling.
AU - Evans,BD
AU - Nikolic,K
DO - 10.1109/BioCAS.2016.7833795
EP - 319
PB - IEEE
PY - 2017///
SN - 2163-4025
SP - 316
TI - From bytes to insights with modelling as a service a new paradigm for computational modelling illustrated with PyRhO
UR - http://dx.doi.org/10.1109/BioCAS.2016.7833795
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000401795900086&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/57361
ER -