Discovery of Cell Cycle Genes

Following links are the results of the BECC (Boolean Equivalent Correlated Clusters) algorithm on human, mouse, plant and fly dataset.

• Global human
• Global mouse
• Global plant
• Global fly
• Conserved human-mouse
• Conserved human-plant
• Conserved mouse-plant
• Conserved human-mouse-plant
• Conserved human-fly
• Conserved human-mouse-fly
• Conserved human-mouse-fly-plant
• Leukemia
• Breast Cancer Microarray
• Breast Cancer RNASeq
• Colon Cancer
• Genentech Cell-line RNASeq
• Cancer Cell Line Encyclopedia (CCLE)
• The Genotype-Tissue Expression (GTEx) Project

Following link explore pair-wise gene expression data for human and mouse side by side to compare cross species.

Browse Human and Mouse Genes

Following link provide a tool to search GEO annotation in the context of a pair-wise gene expression relationship.

Search GEO Annotations

Following link provide a link to the software tools and GEO datasets used in the BECC algorithm.

Source code associated with this paper

GEO datasets

1. GSE119128 - An unbiased Boolean analysis of public gene expression data for core cell cycle gene classification
2. GSE119087 - Human Boolean Implication Network (n = 25,955)
3. GSE119085 - Mouse Boolean Implication Network (n = 11,758)
4. GSE119084 - Fly Boolean Implication Network (n = 2,687)
5. GSE119083 - Plant Boolean Implication Network (n = 4,306)

Browse Specific Genes parallely in multiple dataset

Citation:

• Dabydeen SA, Desai A, Sahoo D. Unbiased Boolean analysis of public gene expression data for cell cycle gene identification. Mol Biol Cell. 2019 Jul 1;30(14):1770-1779. doi: 10.1091/mbc.E19-01-0013. Epub 2019 May 15. PMID: 31091168