:: DESCRIPTION
BAGEL is a software for Bayesian analysis of gene knockout screens using pooled library CRISPR or RNAi.
::DEVELOPER
:: SCREENSHOTS
N/A
::REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
BAGEL: a computational framework for identifying essential genes from pooled library screens.
Hart T, Moffat J.
BMC Bioinformatics. 2016 Apr 16;17(1):164. doi: 10.1186/s12859-016-1015-8.
:: DESCRIPTION
Bayesian Analysis of Gene Expression Levels (BAGEL) is a program that allows statistical inferences to be made regarding differential gene expression between two or more samples measured on spotted (two-channel) microarrays. BAGEL makes these inferences from normalized ratio data, on a gene-by-gene basis. The advantages of BAGEL include ease of use, straightforward interpretation of results, statistical robustness, flexibility in accepting different experimental designs, and that it is free.
::DEVELOPER
:: SCREENSHOTS
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Please cite:
Townsend, J.P., and D.L. Hartl. 2002.
Bayesian analysis of gene expression levels: statistical quantification of relative mRNA level across multiple strains or treatments.
Genome Biology 3 (12): research0071.1-0071.16.
