Literature DB >> 17468122

GAzer: gene set analyzer.

Sang-Bae Kim1, Sungjin Yang, Seon-Kyu Kim, Sang Cheol Kim, Hyun Goo Woo, David J Volsky, Seon-Young Kim, In-Sun Chu.   

Abstract

UNLABELLED: Gene Set Analyzer (GAzer) is a web-based integrated gene set analysis tool covering previously reported parametric and non-parametric models. Based on a simulation test for the reported algorithms, we classified and implemented three main statistical methods consisting of the z-statistic, gene permutation and sample permutation for ten gene set categories including Gene Ontology (GO) for human, mouse, rat and yeast. This tool identifies significantly altered gene sets scored by z-statistics and P-values from the z-test or permutation test and provides q-values and Bonferroni P-values to correct multiple hypothesis testing. GAzer allows users to observe changes in expression of each gene in a gene set or to see the significance of the gene sets containing a gene(s) of interest, thus allowing interactive data analysis both at the gene and gene set level. Moreover, GAzer offers extensive annotation for each gene. AVAILABILITY: The GAzer gene set analyzer is freely available at http://integromics.kobic.re.kr/GAzer/. SUPPLEMENTARY INFORMATION: This can be found on the web page (http://integromics.kobic.re.kr/GAzer/supplement.jsp).

Entities:  

Mesh:

Year:  2007        PMID: 17468122     DOI: 10.1093/bioinformatics/btm144

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  23 in total

1.  Disease and phenotype gene set analysis of disease-based gene expression in mouse and human.

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2.  Gene function analysis in complex data sets using ErmineJ.

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Journal:  Nat Protoc       Date:  2010-06-03       Impact factor: 13.491

Review 3.  Toward a complete in silico, multi-layered embryonic stem cell regulatory network.

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Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010 Nov-Dec

4.  Gene expression profiling of primary and metastatic colon cancers identifies a reduced proliferative rate in metastatic tumors.

Authors:  Ganepola A P Ganepola; Robert M Mazziotta; Dilendra Weeresinghe; Georgia A Corner; Cheryl J Parish; David H Chang; Niall C Tebbutt; Carmel Murone; Naseem Ahmed; Leonard H Augenlicht; John M Mariadason
Journal:  Clin Exp Metastasis       Date:  2009-11-01       Impact factor: 5.150

5.  Insights into the molecular mechanisms of Polygonum multiflorum Thunb-induced liver injury: a computational systems toxicology approach.

Authors:  Yin-Yin Wang; Jie Li; Zeng-Rui Wu; Bo Zhang; Hong-Bin Yang; Qin Wang; Ying-Chun Cai; Gui-Xia Liu; Wei-Hua Li; Yun Tang
Journal:  Acta Pharmacol Sin       Date:  2017-02-27       Impact factor: 6.150

6.  agriGO: a GO analysis toolkit for the agricultural community.

Authors:  Zhou Du; Xin Zhou; Yi Ling; Zhenhai Zhang; Zhen Su
Journal:  Nucleic Acids Res       Date:  2010-04-30       Impact factor: 16.971

7.  A new permutation strategy of pathway-based approach for genome-wide association study.

Authors:  Yan-Fang Guo; Jian Li; Yuan Chen; Li-Shu Zhang; Hong-Wen Deng
Journal:  BMC Bioinformatics       Date:  2009-12-18       Impact factor: 3.169

8.  DynaMod: dynamic functional modularity analysis.

Authors:  Choong-Hyun Sun; Taeho Hwang; Kimin Oh; Gwan-Su Yi
Journal:  Nucleic Acids Res       Date:  2010-05-11       Impact factor: 16.971

9.  Short-term dietary restriction and fasting precondition against ischemia reperfusion injury in mice.

Authors:  James R Mitchell; Mariëlle Verweij; Karl Brand; Marieke van de Ven; Natascha Goemaere; Sandra van den Engel; Timothy Chu; Flavio Forrer; Cristina Müller; Marion de Jong; Wilfred van IJcken; Jan N M IJzermans; Jan H J Hoeijmakers; Ron W F de Bruin
Journal:  Aging Cell       Date:  2009-10-30       Impact factor: 9.304

10.  The core mouse response to infection by neospora caninum defined by gene set enrichment analyses.

Authors:  John Ellis; Stephen Goodswen; Paul J Kennedy; Stephen Bush
Journal:  Bioinform Biol Insights       Date:  2012-09-03
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