Simulation and human-computer interaction to analyze gene regulatory networks

With rapid development in information technology, it has also become a great help to biological research and studies. Among the plentiful software applications developed to analyze Gene Regulatory Networks (GRN), GeneNetWeaver (GNW) is one of the most useful applications with its rich features and i...

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Main Author: Linn, Htet Oo
Other Authors: School of Computer Engineering
Format: Final Year Project
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10356/58973
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-589732023-03-03T20:49:18Z Simulation and human-computer interaction to analyze gene regulatory networks Linn, Htet Oo School of Computer Engineering Bioinformatics Research Centre Zheng Jie DRNTU::Engineering::Computer science and engineering::Information systems::Information interfaces and presentation With rapid development in information technology, it has also become a great help to biological research and studies. Among the plentiful software applications developed to analyze Gene Regulatory Networks (GRN), GeneNetWeaver (GNW) is one of the most useful applications with its rich features and interactive Graphical User Interface (GUI). In order to make it the best out of the best ones, in this project, functionality of GNW has been enhanced by integrating more features into it. With these, the efficiency and effectiveness of the application will be fully utilized. In this project, we have integrated important features such as visualizing the gene expression datasets generated from GRN, which would greatly improve users’ convenience. Another essential feature we have developed is allowing users to modify the structure of GRN by deleting nodes (genes) or edges (interactions), which could simulate ‘knock-out’ experiments. Moreover, to help users realize the effects of particular modification to GRN structure, we have implemented the feature to compare the gene expression data before and after the modification. These new features will offer users great help to gain further understanding into the function of GRN. Bachelor of Engineering (Computer Science) 2014-04-17T07:10:51Z 2014-04-17T07:10:51Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/58973 en Nanyang Technological University 62 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Information systems::Information interfaces and presentation
spellingShingle DRNTU::Engineering::Computer science and engineering::Information systems::Information interfaces and presentation
Linn, Htet Oo
Simulation and human-computer interaction to analyze gene regulatory networks
description With rapid development in information technology, it has also become a great help to biological research and studies. Among the plentiful software applications developed to analyze Gene Regulatory Networks (GRN), GeneNetWeaver (GNW) is one of the most useful applications with its rich features and interactive Graphical User Interface (GUI). In order to make it the best out of the best ones, in this project, functionality of GNW has been enhanced by integrating more features into it. With these, the efficiency and effectiveness of the application will be fully utilized. In this project, we have integrated important features such as visualizing the gene expression datasets generated from GRN, which would greatly improve users’ convenience. Another essential feature we have developed is allowing users to modify the structure of GRN by deleting nodes (genes) or edges (interactions), which could simulate ‘knock-out’ experiments. Moreover, to help users realize the effects of particular modification to GRN structure, we have implemented the feature to compare the gene expression data before and after the modification. These new features will offer users great help to gain further understanding into the function of GRN.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Linn, Htet Oo
format Final Year Project
author Linn, Htet Oo
author_sort Linn, Htet Oo
title Simulation and human-computer interaction to analyze gene regulatory networks
title_short Simulation and human-computer interaction to analyze gene regulatory networks
title_full Simulation and human-computer interaction to analyze gene regulatory networks
title_fullStr Simulation and human-computer interaction to analyze gene regulatory networks
title_full_unstemmed Simulation and human-computer interaction to analyze gene regulatory networks
title_sort simulation and human-computer interaction to analyze gene regulatory networks
publishDate 2014
url http://hdl.handle.net/10356/58973
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