GO-Diff: Mining functional differentiation between EST-based transcriptomes

doi:10.1186/1471-2105-7-72

BMC Bioinformatics
Volume 7

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GO-Diff: Mining functional differentiation between EST-based transcriptomes

Zuozhou Chen¹^,2 , Weilin Wang³ , Xuefeng Bruce Ling⁴ , Jane Jijun Liu⁴ and Liangbiao Chen²

¹College of Life Science, Zhejiang University, Hangzhou 310029, China

²Laboratory of Molecular and Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100080, China

³Center of Organ Transplantation, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, China

⁴Amgen Inc., South San Francisco, CA 94080, USA

author email corresponding author email

BMC Bioinformatics 2006, 7:72doi:10.1186/1471-2105-7-72


Published:	16 February 2006

Additional files

Additional File 1:

Full list of the differentially represented GO terms between transcriptomes of mouse oocyte and preimplantation embryos.

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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.

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Additional File 4:

Procedures to evaluate GO-Diff consistency.

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