scholarly journals mDAG: a web-based tool for analyzing microarray data with multiple treatments

2011 ◽  
Vol 12 (S7) ◽  
Author(s):  
Vinhthuy T Phan ◽  
Nam S Vo ◽  
Thomas R Sutter
Keyword(s):  
Microarray Data ◽  
Web Based ◽  
Multiple Treatments

scholarly journals CTen: a web-based platform for identifying enriched cell types from heterogeneous microarray data

BMC Genomics ◽  
2012 ◽  
Vol 13 (1) ◽  
pp. 460 ◽  
Author(s):  
Jason E Shoemaker ◽  
Tiago JS Lopes ◽  
Samik Ghosh ◽  
Yukiko Matsuoka ◽  
Yoshihiro Kawaoka ◽  
...  
Keyword(s):  
Microarray Data ◽  
Cell Types ◽  
Web Based

OsCAS: a comprehensive web-based annotation platform for rice microarray data

2010 ◽  
Vol 4 (1) ◽  
pp. 9-15
Author(s):  
Qingyun Shi ◽  
Yijun Meng ◽  
Dijun Chen ◽  
Fei He ◽  
Haibin Gu ◽  
...  
Keyword(s):  
Microarray Data ◽  
Web Based

scholarly journals PIIKA 2: An Expanded, Web-Based Platform for Analysis of Kinome Microarray Data

PLoS ONE ◽  
2013 ◽  
Vol 8 (11) ◽  
pp. e80837 ◽  
Author(s):  
Brett Trost ◽  
Jason Kindrachuk ◽  
Pekka Määttänen ◽  
Scott Napper ◽  
Anthony Kusalik
Keyword(s):  
Microarray Data ◽  
Web Based

scholarly journals Mediante: a web-based microarray data manager

2007 ◽  
Vol 23 (10) ◽  
pp. 1304-1306 ◽  
Author(s):  
K. Le Brigand ◽  
P. Barbry
Keyword(s):  
Microarray Data ◽  
Web Based ◽  
Data Manager

scholarly journals RANDOMIZE: A Web Server for Data Randomization

2020 ◽  
Author(s):  
Agaz H Wani ◽  
D Armstrong ◽  
Jan Dahrendorff ◽  
Monica Uddin
Keyword(s):  
Dna Methylation ◽  
Microarray Data ◽  
Web Server ◽  
Batch Effects ◽  
Web Browser ◽  
Web Based ◽  
Link Type ◽  
Sample Data

AbstractSummaryDNA methylation microarray data may suffer from batch effects due to improper handling of the samples during the plating process. RANDOMIZE is a web-based application designed to perform randomization of relevant metadata to evenly distribute samples across the factors typically responsible for batch effects in DNA methylation microarrays, such as row, chips and plates. Randomization helps to reduce the likelihood of bias and impact of difference among groups.AvailabilityThe tool is freely available online at https://coph-usf.shinyapps.io/RANDOMIZE/ and can be accessed using any web browser. Sample data and tutorial is also available with the [email protected]

scholarly journals GEPAS, a web-based tool for microarray data analysis and interpretation

2008 ◽  
Vol 36 (Web Server) ◽  
pp. W308-W314 ◽  
Author(s):  
J. Tarraga ◽  
I. Medina ◽  
J. Carbonell ◽  
J. Huerta-Cepas ◽  
P. Minguez ◽  
...  
Keyword(s):  
Data Analysis ◽  
Microarray Data ◽  
Microarray Data Analysis ◽  
Web Based

scholarly journals StressDB: A Locally Installable Web-Based Relational Microarray Database Designed for Small User Communities

2002 ◽  
Vol 3 (2) ◽  
pp. 91-96
Author(s):  
Madhusmita Mitra ◽  
Nigam Shah ◽  
Lukas Mueller ◽  
Scuth Pin ◽  
Nina Fedoroff
Keyword(s):  
Microarray Data ◽  
Database Management System ◽  
Biological Information ◽  
Web Browser ◽  
Web Based ◽  
Microarray Database ◽  
User Communities ◽  
User Groups ◽  
Technology Users ◽  
Relational Database Management

We have built a microarray database, StressDB, for management of microarray data from our studies on stress-modulated genes in Arabidopsis. StressDB provides small user groups with a locally installable web-based relational microarray database. It has a simple and intuitive architecture and has been designed for cDNA microarray technology users. StressDB uses Windows™2000 as the centralized database server with Oracle™8i as the relational database management system. It allows users to manage microarray data and data-related biological information over the Internet using a web browser. The source-code is currently available on request from the authors and will soon be made freely available for downloading from our website athttp://arastressdb.cac.psu.edu.

scholarly journals A nutrigenomics database – integrated repository for publications and associated microarray data in nutrigenomics research

2005 ◽  
Vol 94 (4) ◽  
pp. 493-495 ◽  
Author(s):  
Kenji Saito ◽  
Soichi Arai ◽  
Hisanori Kato
Keyword(s):  
Microarray Data ◽  
Microarray Experiment ◽  
Data Sets ◽  
Expression Data ◽  
Web Based ◽  
Data Infrastructure ◽  
Microarray Expression Data ◽  
Efficient Data ◽  
Microarray Expression ◽  
Support Research

In the current situation where microarray data in the field of nutritional genomics (nutrigenomics) are accumulating rapidly, there is imminent need for an efficient data infrastructure to support research workflow. We have established a web-based, integrated database of the publications and microarray expression data in the field of nutrigenomics. The registered data include links to external databases such as PubMed of the National Center for Biotechnology Information and public microarray databases that contain Minimum Information About a Microarray Experiment-compliant microarray expression data. Using this database, all data sets created will be effectively utilized and shared with other researchers. This database is built on an open-source database system and is freely accessible via the World Wide Web (http://a-yo5.ch.a.u-tokyo.ac.jp/index.phtml</url).

scholarly journals CancerMA: a web-based tool for automatic meta-analysis of public cancer microarray data

Database ◽  
2012 ◽  
Vol 2012 ◽  
Author(s):  
Julia Feichtinger ◽  
Ramsay J. McFarlane ◽  
Lee D. Larcombe
Keyword(s):  
Microarray Data ◽  
Meta Analysis ◽  
Web Based
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