Software
GO-Diff: Mining functional differentiation between EST-based transcriptomes
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* Corresponding author: Liangbiao Chen lbchen@genetics.ac.cn
1 College of Life Science, Zhejiang University, Hangzhou 310029, China
2 Laboratory of Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100080, China
3 Center of Organ Transplantation, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China
4 Amgen Inc., South San Francisco, CA 94080, USA
BMC Bioinformatics 2006, 7:72 doi:10.1186/1471-2105-7-72
Published: 16 February 2006Additional files
Additional File 1:
Full list of the differentially represented GO terms between transcriptomes of mouse oocyte and preimplantation embryos.
Format: PDF Size: 76KB Download file
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Additional File 2:
Full list of the Unigene clusters associated with the differentially presented GO terms in transcriptomes of mouse oocyte and preimplantation embryos. Description: The four columns of numbers from left to right are: tag number of the Unigene cluster and the relative abundant of Unigene cluster of the oocyte transcriptome and the preimplantation embryos respectively.
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Additional File 3:
List of Meta-analysis-supported GO terms identified by GO-Diff in the comparison between human and mouse liver Description: The number in the table is the EST coverage ratio (human/mouse) of the GO term. It is represented by "inf" when the EST coverage level in mouse is zero, and by "1" when no significant (ECRG >= 3, FDR <= 0.1) differences are found in the two sets of dbEST libraries.
Format: PDF Size: 40KB Download file
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Additional File 4:
Procedures to evaluate GO-Diff consistency.
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