Array2BIO: A Tool for Analyzing Microarray Data
Author Information
Author(s): Loots Gabriela G, Chain Patrick SG, Mabery Shalini, Rasley Amy, Garcia Emilio, Ovcharenko Ivan
Primary Institution: Lawrence Livermore National Laboratory
Hypothesis
Can we develop a user-friendly tool that integrates various methods for analyzing microarray expression data?
Conclusion
Array2BIO is a web-based tool that allows for comprehensive analysis of microarray expression data and links it to various genomic tools.
Supporting Evidence
- Array2BIO integrates multiple analysis methods into a single tool.
- It provides statistical methods for quantifying expression levels.
- The tool allows for the identification of co-expressed genes and their functional categories.
Takeaway
Array2BIO is like a smart helper that makes it easy for scientists to understand how genes work together by analyzing their expression data.
Methodology
Array2BIO processes microarray data through background correction, filtering, normalization, and statistical analysis to identify co-expressed genes.
Limitations
The maximum number of clustered transcripts is limited to less than 2500 genes due to software restrictions.
Statistical Information
P-Value
p<0.001 for apoptosis, p<0.002 for cell growth and death
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website