Literature DB >> 16939801

Data storage and analysis in ArrayExpress.

Alvis Brazma1, Misha Kapushesky, Helen Parkinson, Ugis Sarkans, Mohammad Shojatalab.   

Abstract

ArrayExpress is a public resource for microarray data that has two major goals: to serve as an archive providing access to microarray data supporting publications and to build a knowledge base of gene expression profiles. ArrayExpress consists of two tightly integrated databases: ArrayExpress repository, which is an archive, and ArrayExpress data warehouse, which contains reannotated data and is optimized for queries. As of December 2005, ArrayExpress contains gene expression and other microarray data from almost 35,000 hybridizations, comprising over 1200 studies, covering 70 different species. Most data are related to peer-reviewed publications. Password-protected access to prepublication data is provided for reviewers and authors. Data in the repository can be queried by various parameters such as species, authors, or words used in the experiment description. The data warehouse provides a wide range of queries, including ones based on gene and sample properties, and provides capabilities to retrieve data combined from different studies. The ArrayExpress resource also includes Expression Profiler (EP)-a microarray data mining, analysis, and visualization tool-and MIAMExpress-an online data submission tool. This chapter describes all major ArrayExpress components from the user perspective: how to submit to, retrieve from, and analyze data in ArrayExpress.

Mesh:

Year:  2006        PMID: 16939801     DOI: 10.1016/S0076-6879(06)11020-4

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  13 in total

1.  Overview of DNA microarrays: types, applications, and their future.

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Journal:  Curr Protoc Mol Biol       Date:  2013-01

2.  Relative impact of key sources of systematic noise in Affymetrix and Illumina gene-expression microarray experiments.

Authors:  Robert R Kitchen; Vicky S Sabine; Arthur A Simen; J Michael Dixon; John M S Bartlett; Andrew H Sims
Journal:  BMC Genomics       Date:  2011-12-01       Impact factor: 3.969

Review 3.  Artificial intelligence to deep learning: machine intelligence approach for drug discovery.

Authors:  Rohan Gupta; Devesh Srivastava; Mehar Sahu; Swati Tiwari; Rashmi K Ambasta; Pravir Kumar
Journal:  Mol Divers       Date:  2021-04-12       Impact factor: 3.364

4.  The removal of multiplicative, systematic bias allows integration of breast cancer gene expression datasets - improving meta-analysis and prediction of prognosis.

Authors:  Andrew H Sims; Graeme J Smethurst; Yvonne Hey; Michal J Okoniewski; Stuart D Pepper; Anthony Howell; Crispin J Miller; Robert B Clarke
Journal:  BMC Med Genomics       Date:  2008-09-21       Impact factor: 3.063

5.  A simple and reproducible breast cancer prognostic test.

Authors:  Luigi Marchionni; Bahman Afsari; Donald Geman; Jeffrey T Leek
Journal:  BMC Genomics       Date:  2013-05-17       Impact factor: 3.969

6.  Computational analysis of target hub gene repression regulated by multiple and cooperative miRNAs.

Authors:  Xin Lai; Ulf Schmitz; Shailendra K Gupta; Animesh Bhattacharya; Manfred Kunz; Olaf Wolkenhauer; Julio Vera
Journal:  Nucleic Acids Res       Date:  2012-07-13       Impact factor: 16.971

7.  MIMAS 3.0 is a Multiomics Information Management and Annotation System.

Authors:  Alexandre Gattiker; Leandro Hermida; Robin Liechti; Ioannis Xenarios; Olivier Collin; Jacques Rougemont; Michael Primig
Journal:  BMC Bioinformatics       Date:  2009-05-18       Impact factor: 3.169

8.  SiPaGene: A new repository for instant online retrieval, sharing and meta-analyses of GeneChip expression data.

Authors:  Adriane Menssen; Götz Edinger; Joachim R Grün; Ulrike Haase; Ria Baumgrass; Andreas Grützkau; Andreas Radbruch; Gerd-R Burmester; Thomas Häupl
Journal:  BMC Genomics       Date:  2009-03-05       Impact factor: 3.969

9.  Ensembl 2007.

Authors:  T J P Hubbard; B L Aken; K Beal; B Ballester; M Caccamo; Y Chen; L Clarke; G Coates; F Cunningham; T Cutts; T Down; S C Dyer; S Fitzgerald; J Fernandez-Banet; S Graf; S Haider; M Hammond; J Herrero; R Holland; K Howe; K Howe; N Johnson; A Kahari; D Keefe; F Kokocinski; E Kulesha; D Lawson; I Longden; C Melsopp; K Megy; P Meidl; B Ouverdin; A Parker; A Prlic; S Rice; D Rios; M Schuster; I Sealy; J Severin; G Slater; D Smedley; G Spudich; S Trevanion; A Vilella; J Vogel; S White; M Wood; T Cox; V Curwen; R Durbin; X M Fernandez-Suarez; P Flicek; A Kasprzyk; G Proctor; S Searle; J Smith; A Ureta-Vidal; E Birney
Journal:  Nucleic Acids Res       Date:  2006-12-05       Impact factor: 16.971

10.  The PhenoGen informatics website: tools for analyses of complex traits.

Authors:  Sanjiv V Bhave; Cheryl Hornbaker; Tzu L Phang; Laura Saba; Razvan Lapadat; Katherina Kechris; Jeanette Gaydos; Daniel McGoldrick; Andrew Dolbey; Sonia Leach; Brian Soriano; Allison Ellington; Eric Ellington; Kendra Jones; Jonathan Mangion; John K Belknap; Robert W Williams; Lawrence E Hunter; Paula L Hoffman; Boris Tabakoff
Journal:  BMC Genet       Date:  2007-08-30       Impact factor: 2.797

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