Literature DB >> 16888360

The Stanford Microarray Database: a user's guide.

Jeremy Gollub1, Catherine A Ball, Gavin Sherlock.   

Abstract

The Stanford Microarray Database (SMD) is a DNA microarray research database that provides a large amount of data for public use. This chapter describes the use of the primary tools for searching, browsing, retrieving, and analyzing data available for SMD. With this introduction, researchers and students will be able to examine and analyze a large body of gene expression and other experiments. Additional tools for depositing, annotating, sharing, and analyzing data, available only to registered users, are also described. SMD is available for installation as a local database.

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Year:  2006        PMID： 16888360     DOI： 10.1385/1-59745-097-9:191

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN： 1064-3745


  12 in total

Review 1.  'Unknown' proteins and 'orphan' enzymes: the missing half of the engineering parts list--and how to find it.

Authors:  Andrew D Hanson; Anne Pribat; Jeffrey C Waller; Valérie de Crécy-Lagard
Journal:  Biochem J       Date:  2009-12-14       Impact factor: 3.857

2.  Signaling perturbations induced by invading H. pylori proteins in the host epithelial cells: a mathematical modeling approach.

Authors:  William Dampier; Aydin Tozeren
Journal:  J Theor Biol       Date:  2007-03-18       Impact factor: 2.691

Review 3.  Data standards for Omics data: the basis of data sharing and reuse.

Authors:  Stephen A Chervitz; Eric W Deutsch; Dawn Field; Helen Parkinson; John Quackenbush; Phillipe Rocca-Serra; Susanna-Assunta Sansone; Christian J Stoeckert; Chris F Taylor; Ronald Taylor; Catherine A Ball
Journal:  Methods Mol Biol       Date:  2011

4.  The Stanford Data Miner: a novel approach for integrating and exploring heterogeneous immunological data.

Authors:  Janet C Siebert; Wes Munsil; Yael Rosenberg-Hasson; Mark M Davis; Holden T Maecker
Journal:  J Transl Med       Date:  2012-03-28       Impact factor: 5.531

5.  AthaMap web tools for the analysis and identification of co-regulated genes.

Authors:  Claudia Galuschka; Martin Schindler; Lorenz Bülow; Reinhard Hehl
Journal:  Nucleic Acids Res       Date:  2006-12-05       Impact factor: 16.971

6.  PathoPlant: a platform for microarray expression data to analyze co-regulated genes involved in plant defense responses.

Authors:  Lorenz Bülow; Martin Schindler; Reinhard Hehl
Journal:  Nucleic Acids Res       Date:  2006-11-11       Impact factor: 16.971

7.  Uncovering transcriptional interactions via an adaptive fuzzy logic approach.

Authors:  Cheng-Long Chuang; Kenneth Hung; Chung-Ming Chen; Grace S Shieh
Journal:  BMC Bioinformatics       Date:  2009-12-06       Impact factor: 3.169

8.  Unraveling transcriptional regulatory programs by integrative analysis of microarray and transcription factor binding data.

Authors:  Huai Li; Ming Zhan
Journal:  Bioinformatics       Date:  2008-06-27       Impact factor: 6.937

9.  Gene expression subtraction of non-cancerous lung from smokers and non-smokers with adenocarcinoma, as a predictor for smokers developing lung cancer.

Authors:  David Stav; Ilan Bar; Judith Sandbank
Journal:  J Exp Clin Cancer Res       Date:  2008-09-24

10.  Internet Resources for Gene Expression Analysis in Arabidopsis thaliana.

Authors:  Reinhard Hehl; Lorenz Bülow
Journal:  Curr Genomics       Date:  2008-09       Impact factor: 2.236
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