Despite the large number of software tools developed to address different areas of microarray data analysis, very few offer an all-in-one solution with little learning curve. For microarray core labs, there are even fewer software packages available to help with their routine but critical tasks, such as data quality control (QC) and inventory management. We have developed a simple-to-use web portal to allow bench biologists to analyze and query complicated microarray data and related biological pathways without prior training. Both experiment-based and gene-based analysis can be easily performed, even for the first-time user, through the intuitive multi-layer design and interactive graphic links. While being friendly to inexperienced users,...
[[abstract]]Microarray technology has become widely utilized by biologists as an important functiona...
Data management and analysis represent a major challenge for microarray studies. In this study, Aff...
We have implemented a self-contained package for DNA microarray analysis in R. The package is named ...
Despite the large number of software tools developed to address different areas of microarray data a...
BackgroundMany cutting-edge microarray analysis tools and algorithms, including commonly used limma ...
The microarray technique requires the organization and analysis of vast amounts of data. These data ...
BACKGROUND: Microarray experiments are increasing in size and samples are collected asynchronously o...
Abstract Background Microarray experiments are increasing in size and samples are collected asynchro...
A number of microarray analysis software packages exist already; however, none combines the user-fri...
Researchers at National Institute of Biology (NIB) use DNA microarray technology in their experiment...
Background: Microarray data analysis presents a significant challenge to researchers who are unable ...
The microarray technique requires the organization and analysis of vast amounts of data. These data ...
End of project reportDNA microarrays are widely used for gene expression profiling. Raw data resulti...
information system for the management of spotted DNA microarray experiments and the massive amounts ...
Microarray technology promises to monitor interactions among tens of thousands of genes simultaneous...
[[abstract]]Microarray technology has become widely utilized by biologists as an important functiona...
Data management and analysis represent a major challenge for microarray studies. In this study, Aff...
We have implemented a self-contained package for DNA microarray analysis in R. The package is named ...
Despite the large number of software tools developed to address different areas of microarray data a...
BackgroundMany cutting-edge microarray analysis tools and algorithms, including commonly used limma ...
The microarray technique requires the organization and analysis of vast amounts of data. These data ...
BACKGROUND: Microarray experiments are increasing in size and samples are collected asynchronously o...
Abstract Background Microarray experiments are increasing in size and samples are collected asynchro...
A number of microarray analysis software packages exist already; however, none combines the user-fri...
Researchers at National Institute of Biology (NIB) use DNA microarray technology in their experiment...
Background: Microarray data analysis presents a significant challenge to researchers who are unable ...
The microarray technique requires the organization and analysis of vast amounts of data. These data ...
End of project reportDNA microarrays are widely used for gene expression profiling. Raw data resulti...
information system for the management of spotted DNA microarray experiments and the massive amounts ...
Microarray technology promises to monitor interactions among tens of thousands of genes simultaneous...
[[abstract]]Microarray technology has become widely utilized by biologists as an important functiona...
Data management and analysis represent a major challenge for microarray studies. In this study, Aff...
We have implemented a self-contained package for DNA microarray analysis in R. The package is named ...