The Experts below are selected from a list of 87 Experts worldwide ranked by ideXlab platform

James Gomes - One of the best experts on this subject based on the ideXlab platform.

  • NeuroDNet - an open source platform for constructing and analyzing neurodegenerative disease networks
    BMC Neuroscience, 2013
    Co-Authors: Suhas V Vasaikar, Aditya K Padhi, Bhyravabhotla Jayaram, James Gomes
    Abstract:

    Background Genetic networks control cellular functions. Aberrations in normal cellular function are caused by mutations in genes that disrupt the fine tuning of genetic networks and cause disease or disorder. However, the large number of signalling molecules, genes and proteins that constitute such networks, and the consequent complexity of interactions, has restrained progress in research elucidating disease mechanisms. Hence, carrying out a systematic analysis of how diseases alter the character of these networks is important. We illustrate this through our work on neurodegenerative disease networks. We created a database, NeuroDNet, which brings together relevant information about signalling molecules, genes and proteins, and their interactions, for constructing neurodegenerative disease networks. Description NeuroDNet is a database with interactive tools that enables the creation of interaction networks for twelve neurodegenerative diseases under one portal for interrogation and analyses. It is the first of its kind, which enables the construction and analysis of neurodegenerative diseases through protein interaction networks, regulatory networks and Boolean networks. The database has a three-Tier architecture - foundation, function and Interface. The foundation Tier contains the human genome data with 23857 protein-coding genes linked to more than 300 genes reported in clinical studies of neurodegenerative diseases. The database architecture was designed to retrieve neurodegenerative disease information seamlessly through the Interface Tier using specific functional information. Features of this database enable users to extract, analyze and display information related to a disease in many different ways. Conclusions The application of NeuroDNet was illustrated using three case studies. Through these case studies, the construction and analyses of a PPI network for angiogenin protein in amyotrophic lateral sclerosis, a signal-gene-protein interaction network for presenilin protein in Alzheimer's disease and a Boolean network for a mammalian cell cycle was demonstrated. NeuroDNet is accessible at http://bioschool.iitd.ac.in/NeuroDNet/ .

Altenbek Gulila - One of the best experts on this subject based on the ideXlab platform.

  • Study of E-business Application Based on Lightweight J2EE Framework
    Computer and Modernization, 2007
    Co-Authors: Altenbek Gulila
    Abstract:

    J2EE framework has got a wide application in E-business development.By analyzing limits and problems with current J2EE framework,and combining with E-business's own characteristic,a new E-business architecture based on lightweight J2EE framework which is elegant,effective and reliable is proposed.It is a three-Tier Web application architecture,using Struts framework which integrates Ajax technology as user Interface Tier,Spring framework as business logic Tier,and Hibernate O/R mapping with responsibility for data persistence.

Raul Sidnei Wazlawick - One of the best experts on this subject based on the ideXlab platform.

  • Interface Tier Design with IFML
    Object-Oriented Analysis and Design for Information Systems, 2014
    Co-Authors: Raul Sidnei Wazlawick
    Abstract:

    This chapter shows how to design a web Interface for an information system using the Interaction Flow Modeling Language (IFML). Initially, the information view components of IFML are presented. They are used in connection with the design class diagram to manage the presentation of information. The integration of view components and flows into containers such as pages and areas is presented as well as some Interface design patterns. Operation components may also be used in connection with view components to define basic operations over objects. The chapter concludes with the presentation of a complete CRUD Interface modeled in IFML and a high-level design for a system use case.

Huang Zhan - One of the best experts on this subject based on the ideXlab platform.

  • Design and implementation of E-Gov system architecture based on lightweight J2EE framework
    Computer Engineering and Design, 2006
    Co-Authors: Huang Zhan
    Abstract:

    J2EE framework has got a wide application in E-Gov system development.By analyzing limits and problems with current J2EE framework,and combining with E-Gov system's own characteristic,a new E-Gov system architecture based on lightweight J2EE framework which is elegant,effective and reliable was proposed.It was a three-Tier web application architecture,using tapestry framework as User Interface Tier,spring framework as business Logic Tier,and Hibernate O/R mapping with responsibility for data persistence.And also its implementation outlines was given.

Suhas V Vasaikar - One of the best experts on this subject based on the ideXlab platform.

  • NeuroDNet - an open source platform for constructing and analyzing neurodegenerative disease networks
    BMC Neuroscience, 2013
    Co-Authors: Suhas V Vasaikar, Aditya K Padhi, Bhyravabhotla Jayaram, James Gomes
    Abstract:

    Background Genetic networks control cellular functions. Aberrations in normal cellular function are caused by mutations in genes that disrupt the fine tuning of genetic networks and cause disease or disorder. However, the large number of signalling molecules, genes and proteins that constitute such networks, and the consequent complexity of interactions, has restrained progress in research elucidating disease mechanisms. Hence, carrying out a systematic analysis of how diseases alter the character of these networks is important. We illustrate this through our work on neurodegenerative disease networks. We created a database, NeuroDNet, which brings together relevant information about signalling molecules, genes and proteins, and their interactions, for constructing neurodegenerative disease networks. Description NeuroDNet is a database with interactive tools that enables the creation of interaction networks for twelve neurodegenerative diseases under one portal for interrogation and analyses. It is the first of its kind, which enables the construction and analysis of neurodegenerative diseases through protein interaction networks, regulatory networks and Boolean networks. The database has a three-Tier architecture - foundation, function and Interface. The foundation Tier contains the human genome data with 23857 protein-coding genes linked to more than 300 genes reported in clinical studies of neurodegenerative diseases. The database architecture was designed to retrieve neurodegenerative disease information seamlessly through the Interface Tier using specific functional information. Features of this database enable users to extract, analyze and display information related to a disease in many different ways. Conclusions The application of NeuroDNet was illustrated using three case studies. Through these case studies, the construction and analyses of a PPI network for angiogenin protein in amyotrophic lateral sclerosis, a signal-gene-protein interaction network for presenilin protein in Alzheimer's disease and a Boolean network for a mammalian cell cycle was demonstrated. NeuroDNet is accessible at http://bioschool.iitd.ac.in/NeuroDNet/ .