Literature DB >> 18629145

Navigating public microarray databases.

Christopher J Penkett1, Jürg Bähler.   

Abstract

With the ever-escalating amount of data being produced by genome-wide microarray studies, it is of increasing importance that these data are captured in public databases so that researchers can use this information to complement and enhance their own studies. Many groups have set up databases of expression data, ranging from large repositories, which are designed to comprehensively capture all published data, through to more specialized databases. The public repositories, such as ArrayExpress at the European Bioinformatics Institute contain complete datasets in raw format in addition to processed data, whilst the specialist databases tend to provide downstream analysis of normalized data from more focused studies and data sources. Here we provide a guide to the use of these public microarray resources.

Entities:  

Year:  2004        PMID: 18629145      PMCID: PMC2447434          DOI: 10.1002/cfg.427

Source DB:  PubMed          Journal:  Comp Funct Genomics        ISSN: 1531-6912


  38 in total

1.  A relational schema for both array-based and SAGE gene expression experiments.

Authors:  C Stoeckert; A Pizarro; E Manduchi; M Gibson; B Brunk; J Crabtree; J Schug; S Shen-Orr; G C Overton
Journal:  Bioinformatics       Date:  2001-04       Impact factor: 6.937

2.  The future of publishing microarray data.

Authors:  P T Spellman
Journal:  Brief Bioinform       Date:  2001-12       Impact factor: 11.622

3.  CIBEX: center for information biology gene expression database.

Authors:  Kazuho Ikeo; Jun Ishi-i; Takurou Tamura; Takashi Gojobori; Yoshio Tateno
Journal:  C R Biol       Date:  2003 Oct-Nov       Impact factor: 1.583

4.  The PEPR GeneChip data warehouse, and implementation of a dynamic time series query tool (SGQT) with graphical interface.

Authors:  Josephine Chen; Po Zhao; Donald Massaro; Linda B Clerch; Richard R Almon; Debra C DuBois; William J Jusko; Eric P Hoffman
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

5.  GeneAnnot: interfacing GeneCards with high-throughput gene expression compendia.

Authors:  Vered Chalifa-Caspi; Orit Shmueli; Hila Benjamin-Rodrig; Naomi Rosen; Michael Shmoish; Itai Yanai; Ron Ophir; Pavel Kats; Marilyn Safran; Doron Lancet
Journal:  Brief Bioinform       Date:  2003-12       Impact factor: 11.622

6.  Funding high-throughput data sharing.

Authors:  Catherine A Ball; Gavin Sherlock; Alvis Brazma
Journal:  Nat Biotechnol       Date:  2004-09       Impact factor: 54.908

7.  HugeIndex: a database with visualization tools for high-density oligonucleotide array data from normal human tissues.

Authors:  Peter M Haverty; Zhiping Weng; Nathan L Best; Kenneth R Auerbach; Li-Li Hsiao; Roderick V Jensen; Steven R Gullans
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

8.  Large-scale analysis of the human and mouse transcriptomes.

Authors:  Andrew I Su; Michael P Cooke; Keith A Ching; Yaron Hakak; John R Walker; Tim Wiltshire; Anthony P Orth; Raquel G Vega; Lisa M Sapinoso; Aziz Moqrich; Ardem Patapoutian; Garret M Hampton; Peter G Schultz; John B Hogenesch
Journal:  Proc Natl Acad Sci U S A       Date:  2002-03-19       Impact factor: 11.205

9.  Quantitative monitoring of gene expression patterns with a complementary DNA microarray.

Authors:  M Schena; D Shalon; R W Davis; P O Brown
Journal:  Science       Date:  1995-10-20       Impact factor: 47.728

Review 10.  Genomic microarrays in the spotlight.

Authors:  Kiran K Mantripragada; Patrick G Buckley; Teresita Diaz de Ståhl; Jan P Dumanski
Journal:  Trends Genet       Date:  2004-02       Impact factor: 11.639

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  2 in total

1.  Gene Expression Browser: large-scale and cross-experiment microarray data integration, management, search & visualization.

Authors:  Ming Zhang; Yudong Zhang; Li Liu; Lijuan Yu; Shirley Tsang; Jing Tan; Wenhua Yao; Manjit S Kang; Yongqiang An; Xingming Fan
Journal:  BMC Bioinformatics       Date:  2010-08-20       Impact factor: 3.169

Review 2.  Emergent Transcriptomic Technologies and Their Role in the Discovery of Biomarkers of Liver Transplant Tolerance.

Authors:  Sotiris Mastoridis; Marc Martínez-Llordella; Alberto Sanchez-Fueyo
Journal:  Front Immunol       Date:  2015-06-22       Impact factor: 7.561

  2 in total

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