scholarly journals AHCODA-DB: a data repository with web-based mining tools for the analysis of automated high-content mouse phenomics data

2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Bastijn Koopmans ◽  
August B. Smit ◽  
Matthijs Verhage ◽  
Maarten Loos
Keyword(s):  
Data Repository ◽  
Web Based ◽  
Mining Tools

Data Acquisition System for Web-based Multi-modal Data Repository

2021 ◽  
Author(s):  
Munyaradzi Charles Rushambwa ◽  
Anirban Mukherjee ◽  
Maitreya Maity ◽  
Rajkumar Palaniappan ◽  
Vikneswaran Vijean ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Data Repository ◽  
Web Based ◽  
Modal Data

scholarly journals Towards Interoperability in Genome Databases: The MAtDB (MIPSArabidopsis thalianaDatabase) Experience

2003 ◽  
Vol 4 (2) ◽  
pp. 255-258 ◽  
Author(s):  
Heiko Schoof
Keyword(s):  
Data Mining ◽  
Data Repository ◽  
The Internet ◽  
Distributed Data ◽  
Genome Sequences ◽  
Genome Database ◽  
Complex Information ◽  
Genome Databases ◽  
Application Access ◽  
Mining Tools

Increasing numbers of whole-genome sequences are available, but to interpret them fully requires more than listing all genes. Genome databases are faced with the challenges of integrating heterogenous data and enabling data mining. In comparison to a data warehousing approach, where integration is achieved through replication of all relevant data in a unified schema, distributed approaches provide greater flexibility and maintainability. These are important in a field where new data is generated rapidly and our understanding of the data changes. Interoperability between distributed data sources allows data maintenance to be separated from integration and analysis. Simple ways to access the data can facilitate the development of new data mining tools and the transition from model genome analysis to comparative genomics. With the MIPSArabidopsis thalianagenome database (MAtDB, http://mips.gsf.de/proj/thal/db) our aim is to go beyond a data repository towards creating an integrated knowledge resource. To this end, theArabidopsisgenome has been a backbone against which to structure and integrate heterogenous data. The challenges to be met are continuous updating of data, the design of flexible data models that can evolve with new data, the integration of heterogenous data, e.g. through the use of ontologies, comprehensive views and visualization of complex information, simple interfaces for application access locally or via the Internet, and knowledge transfer across species.

Building Monitoring and Diagnostics: A Web-Based Approach

2016 ◽  
Vol 861 ◽  
pp. 556-563 ◽  
Author(s):  
Matthias Schuss ◽  
Stefan Glawischnig ◽  
Ardeshir Mahdavi
Keyword(s):  
Low Cost ◽  
Raspberry Pi ◽  
Data Repository ◽  
Multiple Sources ◽  
Data Logger ◽  
Present Contribution ◽  
Web Based ◽  
Building Monitoring ◽  
And Performance ◽  
Set Up

Efforts toward optimized building management and operation require monitoring data from multiple sources. Experiences from previous research projects underline the need for an easily adaptable, low-cost, and easy to set up monitoring infrastructure that could provide data for modeling and performance evaluation. The increasing availability of small and powerful development boards (e.g. Raspberry Pi BeagleBoard or Arduino) facilitates the implementation of a cost-efficient infrastructure for data collection and building monitoring. For the purpose of the present contribution, the Arduino Yún was used to create a data logger that obtains data from wireless sensors, stores it locally, and syncs it with a data repository. Toward this end, we have developed a web-based user interface that enables the user to evaluate various aspects of the monitored building's performance. The communication between the software components is implemented via RESTful interfaces and enables the user to integrate also other data sources such as web services. The paper includes an actual implementation of the above approach. Thereby, we illustrate how the constitutive system components can be integrated in terms of a versatile monitoring system with multiple utilities in terms of building performance assessment and building diagnostics.

BUILDING A KNOWLEDGE BASE FOR IMPLEMENTING A WEB-BASED COMPUTERIZED RECOMMENDATION SYSTEM

2007 ◽  
Vol 16 (05) ◽  
pp. 793-828 ◽  
Author(s):  
JUAN D. VELÁSQUEZ ◽  
VASILE PALADE
Keyword(s):  
Knowledge Base ◽  
Web Site ◽  
Web Mining ◽  
Recommendation System ◽  
The Internet ◽  
Web Pages ◽  
Web Based ◽  
Web Logs ◽  
Mining Tools ◽  
The Web

Understanding the web user browsing behaviour in order to adapt a web site to the needs of a particular user represents a key issue for many commercial companies that do their business over the Internet. This paper presents the implementation of a Knowledge Base (KB) for building web-based computerized recommender systems. The Knowledge Base consists of a Pattern Repository that contains patterns extracted from web logs and web pages, by applying various web mining tools, and a Rule Repository containing rules that describe the use of discovered patterns for building navigation or web site modification recommendations. The paper also focuses on testing the effectiveness of the proposed online and offline recommendations. An ample real-world experiment is carried out on a web site of a bank.

Web-Based Data Inquiry and Real-Time Control of Structural Health Monitoring Sensor Networks

2009 ◽  
Author(s):  
Bo Chen ◽  
Wenjia Liu ◽  
Jinjiang Wang ◽  
Justin Slepak
Keyword(s):  
Real Time ◽  
Operating Mode ◽  
Sensor Nodes ◽  
Sensor Data ◽  
Data Repository ◽  
Real Time Control ◽  
Web Based ◽  
Structural Health ◽  
Time Control ◽  
Data Inquiry

This paper presents a Web-based data inquiry and real-time control of sensor’s operating mode for structural health monitoring sensor networks. The main objective of the presented system is to provide a Web interface for real-time sensor data visualization, sensor-level damage diagnosis, and control of sensor’s operating mode. Web services are available both on distributed sensor nodes and a data repository machine. Users can request Web pages hosted on the sensor nodes or the data repository machine by specifying corresponding sensor IDs. The ability of directly accessing data on sensor nodes via internet allows users to monitor a structure’s performance in a timely manner. The damage diagnosis algorithms implemented on the sensor nodes help users to assess the structural health conditions without the need of transmitting sensor data to a central data station. The presented system also provides the capability of dynamically changing sensor’s operating mode through the Web interface. This feature greatly enhances the flexibility of the system to accommodate different sensing needs and achieve a long lifespan. The system has been tested in the Laboratory to validate its capabilities.

scholarly journals The Study Team for Early Life Asthma Research (STELAR) consortium ‘Asthma e-lab’: team science bringing data, methods and investigators together

Thorax ◽  
2015 ◽  
Vol 70 (8) ◽  
pp. 799-801 ◽  
Author(s):  
Adnan Custovic ◽  
John Ainsworth ◽  
Hasan Arshad ◽  
Christopher Bishop ◽  
Iain Buchan ◽  
...  
Keyword(s):  
Early Life ◽  
Collaborative Research ◽  
Data Repository ◽  
Team Science ◽  
Birth Cohorts ◽  
Web Based ◽  
Interdisciplinary Dialogue ◽  
Computer Scientists ◽  
Study Team ◽  
Computational Resources

We created Asthma e-Lab, a secure web-based research environment to support consistent recording, description and sharing of data, computational/statistical methods and emerging findings across the five UK birth cohorts. The e-Lab serves as a data repository for our unified dataset and provides the computational resources and a scientific social network to support collaborative research. All activities are transparent, and emerging findings are shared via the e-Lab, linked to explanations of analytical methods, thus enabling knowledge transfer. eLab facilitates the iterative interdisciplinary dialogue between clinicians, statisticians, computer scientists, mathematicians, geneticists and basic scientists, capturing collective thought behind the interpretations of findings.

scholarly journals Bioinformatic Tools for Inferring Functional Information from Plant Microarray Data: Tools for the First Steps

2008 ◽  
Vol 2008 ◽  
pp. 1-9 ◽  
Author(s):  
Grier P. Page ◽  
Issa Coulibaly
Keyword(s):  
Microarray Data ◽  
Power Analysis ◽  
Functional Information ◽  
Web Based ◽  
Section 8 ◽  
Bioinformatic Tools ◽  
Microarray Study ◽  
Analysis Tools ◽  
A Genome ◽  
Mining Tools

Microarrays are a very powerful tool for quantifying the amount of RNA in samples; however, their ability to query essentially every gene in a genome, which can number in the tens of thousands, presents analytical and interpretative problems. As a result, a variety of software and web-based tools have been developed to help with these issues. This article highlights and reviews some of the tools for the first steps in the analysis of a microarray study. We have tried for a balance between free and commercial systems. We have organized the tools by topics including image processing tools (Section 2), power analysis tools (Section 3), image analysis tools (Section 4), database tools (Section 5), databases of functional information (Section 6), annotation tools (Section 7), statistical and data mining tools (Section 8), and dissemination tools (Section 9).

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