The Experts below are selected from a list of 154263 Experts worldwide ranked by ideXlab platform
Tien N. Nguyen - One of the best experts on this subject based on the ideXlab platform.
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Object-Oriented Software Configuration Management
2006 22nd IEEE International Conference on Software Maintenance, 2006Co-Authors: Tien N. NguyenAbstract:The ability to manage the evolution of a software system is critical to a successful development process. In a typical software development process, software engineers think and reason in terms of logical abstractions, their compositions and interrelations. However, existing version control and software configuration management (SCM) systems treat a software system as a set of files in a conventional file system. This creates an impedance mismatch between the design and Implementation Domain (semantic level) and the configuration management Domain (file level). File-oriented SCM systems, whose concepts are heavily based on the storage structure, can become burdensome for developers partly because design/Implementation methods and SCM infrastructures require different mental models. This paper describes Molhado (Nguyen, 2005; Nguyen et al., 2004; Nguyen et al., 2005), an extensible and adaptable SCM framework and infrastructure that helps developers quickly create the core of an object-oriented SCM system for any application Domain independent of the concrete file structure. SCM systems based on Molhado can be built to operate entirely at the logical level, eliminating that impedance mismatch
Gary D Bader - One of the best experts on this subject based on the ideXlab platform.
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predicting physiologically relevant sh3 Domain mediated protein protein interactions in yeast
Bioinformatics, 2016Co-Authors: Shobhit Jain, Gary D BaderAbstract:Motivation: Many intracellular signaling processes are mediated by interactions involving peptide recognition modules such as SH3 Domains. These Domains bind to small, linear protein sequence motifs which can be identified using high-throughput experimental screens such as phage display. Binding motif patterns can then be used to computationally predict protein interactions mediated by these Domains. While many protein–protein interaction prediction methods exist, most do not work with peptide recognition module mediated interactions or do not consider many of the known constraints governing physiologically relevant interactions between two proteins. Results: A novel method for predicting physiologically relevant SH3 Domain-peptide mediated protein–protein interactions in S. cerevisae using phage display data is presented. Like some previous similar methods, this method uses position weight matrix models of protein linear motif preference for individual SH3 Domains to scan the proteome for potential hits and then filters these hits using a range of evidence sources related to sequence-based and cellular constraints on protein interactions. The novelty of this approach is the large number of evidence sources used and the method of combination of sequence based and protein pair based evidence sources. By combining different peptide and protein features using multiple Bayesian models we are able to predict high confidence interactions with an overall accuracy of 0.97. Availability and Implementation: Domain-Motif Mediated Interaction Prediction (DoMo-Pred) command line tool and all relevant datasets are available under GNU LGPL license for download from http://www.baderlab.org/Software/DoMo-Pred. The DoMo-Pred command line tool is implemented using Python 2.7 and C ++. Contact: ac.otnorotu@redab.yrag Supplementary information: Supplementary data are available at Bioinformatics online.
Shobhit Jain - One of the best experts on this subject based on the ideXlab platform.
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predicting physiologically relevant sh3 Domain mediated protein protein interactions in yeast
Bioinformatics, 2016Co-Authors: Shobhit Jain, Gary D BaderAbstract:Motivation: Many intracellular signaling processes are mediated by interactions involving peptide recognition modules such as SH3 Domains. These Domains bind to small, linear protein sequence motifs which can be identified using high-throughput experimental screens such as phage display. Binding motif patterns can then be used to computationally predict protein interactions mediated by these Domains. While many protein–protein interaction prediction methods exist, most do not work with peptide recognition module mediated interactions or do not consider many of the known constraints governing physiologically relevant interactions between two proteins. Results: A novel method for predicting physiologically relevant SH3 Domain-peptide mediated protein–protein interactions in S. cerevisae using phage display data is presented. Like some previous similar methods, this method uses position weight matrix models of protein linear motif preference for individual SH3 Domains to scan the proteome for potential hits and then filters these hits using a range of evidence sources related to sequence-based and cellular constraints on protein interactions. The novelty of this approach is the large number of evidence sources used and the method of combination of sequence based and protein pair based evidence sources. By combining different peptide and protein features using multiple Bayesian models we are able to predict high confidence interactions with an overall accuracy of 0.97. Availability and Implementation: Domain-Motif Mediated Interaction Prediction (DoMo-Pred) command line tool and all relevant datasets are available under GNU LGPL license for download from http://www.baderlab.org/Software/DoMo-Pred. The DoMo-Pred command line tool is implemented using Python 2.7 and C ++. Contact: ac.otnorotu@redab.yrag Supplementary information: Supplementary data are available at Bioinformatics online.
Rahiem, Maila D.h. - One of the best experts on this subject based on the ideXlab platform.
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A Comparison of Science Integration Implementation in Two State Islamic Universities in Indonesia
'Institut Agama Islam Negeri (IAIN) Bengkulu', 2020Co-Authors: Sayuti Wahdi, Rahiem, Maila D.h.Abstract:The transformation of IAIN (State Institute for Islamic Studies) into UIN (State Islamic University) cannot be isolated from discourses on identity, concepts, aspirations of the standard of Islamic education and its goal to incorporate the principle of integration of science. However, since the transformation of these institutions, the integration of science practice still appears at the normative-philosophical level and is not yet in the empirical-Implementation Domain. The aim of this study is, therefore, to reveal and explain the Implementation of the integration of the science concept at the technical-operational level, which focuses on the curriculum design and learning process at UIN Syarif Hidayatullah Jakarta and UIN Maulana Malik Ibrahim Malang. The results of the study showed that these two universities have similarities in the concept of the integration of science and have almost the same objectives, i.e., decreasing the dichotomy of science between religious and general science. However, UIN Maulana Malik Ibrahim Malang has a more organized and structured approach to the idea of integration, from theory and framework to the practice of curriculum design and the learning process
Dejan Skvorc - One of the best experts on this subject based on the ideXlab platform.
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object oriented programming model for synthesis of Domain specific application development environment
International Convention on Information and Communication Technology Electronics and Microelectronics, 2016Co-Authors: Tomislav Lugaric, Zvonimir Pavlic, Dejan SkvorcAbstract:Domain-specific languages are becoming increasingly popular allowing experts to focus on solving their specific problems instead of focusing on the means needed. Various Domain-specific tools have been developed that allow experts to design systems and workflows by connecting graphical elements together. These elements have to either be predefined by a developer, or created by the expert by combining simpler objects together. The issue of bridging the gap between the semantics of the problem and the technology used to implement the solution therefore stays with the software developer. In this article, we propose an enhancement of the object oriented programming paradigm that is aimed at easier conversion of the technology (objects, classes) into their visual representation. We propose a high-level Implementation Domain to expert Domain compiler that is able to automatically generate Domain-specific representations of available technical components. The compiler is designed as a general-purpose Domain-agnostic agent, which generates appropriate Domain-specific representations of the technology using technical data obtained from the system and Domain-specific data provided as a set of rules. This paper discusses the requirements placed on the architecture of the input system, the design requirements for the Domain-agnostic compiler and the data needed for a complete description of the Domain specifics.
