GenDomus: Interactive and Collaboration Mechanisms for Diagnosing Genetic Diseases

Carlos Iñiguez-Jarrín, Alberto García S., José F. Reyes R., Óscar Pastor López

2017

Abstract

Considering the impact of Next Generation Sequence (NGS) technologies into the genetic field, the data analysis of huge amounts of sequenced DNA to transform it into knowledge has become a challenge. Within the diagnosis of genetic diseases, the data analysis is still a manual procedure where human cognitive endeavour and active collaboration of several stakeholders is required. Web technologies have been widely used to improve the collaboration between different devices. We present GenDomus, a web solution based on an underlying conceptual model that incorporates advanced interactions mechanisms and collaborative and cognitive aspects in order to support scientists in the diagnosis of genetic diseases. The relevant contribution is to describe the design guidelines and advances in the implementation of such a solution. The cognitive analysis perspective together with the collaborative environment in the complex context of the genome analysis domain conforms an attractive combination where web technologies can provide advanced efficient platforms to improve the genetic diagnosis.

Paper Citation

in Harvard Style

Iñiguez-Jarrín C., García S. A., Reyes R. J. and Pastor López Ó. (2017). GenDomus: Interactive and Collaboration Mechanisms for Diagnosing Genetic Diseases . In Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE, ISBN 978-989-758-250-9, pages 91-102. DOI: 10.5220/0006324000910102

in Bibtex Style

@conference{enase17,
author={Carlos Iñiguez-Jarrín and Alberto García S. and José F. Reyes R. and Óscar Pastor López},
title={GenDomus: Interactive and Collaboration Mechanisms for Diagnosing Genetic Diseases},
booktitle={Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,},
year={2017},
pages={91-102},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006324000910102},
isbn={978-989-758-250-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE,
TI - GenDomus: Interactive and Collaboration Mechanisms for Diagnosing Genetic Diseases
SN - 978-989-758-250-9
AU - Iñiguez-Jarrín C.
AU - García S. A.
AU - Reyes R. J.
AU - Pastor López Ó.
PY - 2017
SP - 91
EP - 102
DO - 10.5220/0006324000910102