Literature DB >> 11125075

The Stanford Microarray Database.

G Sherlock1, T Hernandez-Boussard, A Kasarskis, G Binkley, J C Matese, S S Dwight, M Kaloper, S Weng, H Jin, C A Ball, M B Eisen, P T Spellman, P O Brown, D Botstein, J M Cherry.   

Abstract

The Stanford Microarray Database (SMD) stores raw and normalized data from microarray experiments, and provides web interfaces for researchers to retrieve, analyze and visualize their data. The two immediate goals for SMD are to serve as a storage site for microarray data from ongoing research at Stanford University, and to facilitate the public dissemination of that data once published, or released by the researcher. Of paramount importance is the connection of microarray data with the biological data that pertains to the DNA deposited on the microarray (genes, clones etc.). SMD makes use of many public resources to connect expression information to the relevant biology, including SGD [Ball,C.A., Dolinski,K., Dwight,S.S., Harris,M.A., Issel-Tarver,L., Kasarskis,A., Scafe,C.R., Sherlock,G., Binkley,G., Jin,H. et al. (2000) Nucleic Acids Res., 28, 77-80], YPD and WormPD [Costanzo,M.C., Hogan,J.D., Cusick,M.E., Davis,B.P., Fancher,A.M., Hodges,P.E., Kondu,P., Lengieza,C., Lew-Smith,J.E., Lingner,C. et al. (2000) Nucleic Acids Res., 28, 73-76], Unigene [Wheeler,D.L., Chappey,C., Lash,A.E., Leipe,D.D., Madden,T.L., Schuler,G.D., Tatusova,T.A. and Rapp,B.A. (2000) Nucleic Acids Res., 28, 10-14], dbEST [Boguski,M.S., Lowe,T.M. and Tolstoshev,C.M. (1993) Nature Genet., 4, 332-333] and SWISS-PROT [Bairoch,A. and Apweiler,R. (2000) Nucleic Acids Res., 28, 45-48] and can be accessed at http://genome-www.stanford.edu/microarray.

Entities:  

Mesh:

Year:  2001        PMID: 11125075      PMCID: PMC29818          DOI: 10.1093/nar/29.1.152

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  9 in total

1.  Genome-wide analysis of DNA copy-number changes using cDNA microarrays.

Authors:  J R Pollack; C M Perou; A A Alizadeh; M B Eisen; A Pergamenschikov; C F Williams; S S Jeffrey; D Botstein; P O Brown
Journal:  Nat Genet       Date:  1999-09       Impact factor: 38.330

Review 2.  Analysis of large-scale gene expression data.

Authors:  G Sherlock
Journal:  Curr Opin Immunol       Date:  2000-04       Impact factor: 7.486

3.  Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation.

Authors:  P Tamayo; D Slonim; J Mesirov; Q Zhu; S Kitareewan; E Dmitrovsky; E S Lander; T R Golub
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-16       Impact factor: 11.205

4.  Singular value decomposition for genome-wide expression data processing and modeling.

Authors:  O Alter; P O Brown; D Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  2000-08-29       Impact factor: 11.205

5.  Integrating functional genomic information into the Saccharomyces genome database.

Authors:  C A Ball; K Dolinski; S S Dwight; M A Harris; L Issel-Tarver; A Kasarskis; C R Scafe; G Sherlock; G Binkley; H Jin; M Kaloper; S D Orr; M Schroeder; S Weng; Y Zhu; D Botstein; J M Cherry
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

6.  The yeast proteome database (YPD) and Caenorhabditis elegans proteome database (WormPD): comprehensive resources for the organization and comparison of model organism protein information.

Authors:  M C Costanzo; J D Hogan; M E Cusick; B P Davis; A M Fancher; P E Hodges; P Kondu; C Lengieza; J E Lew-Smith; C Lingner; K J Roberg-Perez; M Tillberg; J E Brooks; J I Garrels
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

7.  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

8.  Cluster analysis and display of genome-wide expression patterns.

Authors:  M B Eisen; P T Spellman; P O Brown; D Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-08       Impact factor: 11.205

9.  Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization.

Authors:  P T Spellman; G Sherlock; M Q Zhang; V R Iyer; K Anders; M B Eisen; P O Brown; D Botstein; B Futcher
Journal:  Mol Biol Cell       Date:  1998-12       Impact factor: 4.138

  9 in total
  168 in total

Review 1.  Microarray data quality analysis: lessons from the AFGC project. Arabidopsis Functional Genomics Consortium.

Authors:  David Finkelstein; Rob Ewing; Jeremy Gollub; Fredrik Sterky; J Michael Cherry; Shauna Somerville
Journal:  Plant Mol Biol       Date:  2002-01       Impact factor: 4.076

2.  The predicted candidates of Arabidopsis plastid inner envelope membrane proteins and their expression profiles.

Authors:  Abraham J K Koo; John B Ohlrogge
Journal:  Plant Physiol       Date:  2002-10       Impact factor: 8.340

3.  GeneCensus: genome comparisons in terms of metabolic pathway activity and protein family sharing.

Authors:  J Lin; J Qian; D Greenbaum; P Bertone; R Das; N Echols; A Senes; B Stenger; M Gerstein
Journal:  Nucleic Acids Res       Date:  2002-10-15       Impact factor: 16.971

4.  YMD: a microarray database for large-scale gene expression analysis.

Authors:  Kei-Hoi Cheung; Kevin White; Janet Hager; Mark Gerstein; Valerie Reinke; Kenneth Nelson; Peter Masiar; Ranjana Srivastava; Yuli Li; Ju Li; Hongyu Zhao; Jinming Li; David B Allison; Michael Snyder; Perry Miller; Kenneth Williams
Journal:  Proc AMIA Symp       Date:  2002

5.  Identification of RARRES1 as a core regulator in liver fibrosis.

Authors:  Andreas Teufel; Diana Becker; Susanne N Weber; Steven Dooley; Katja Breitkopf-Heinlein; Thorsten Maass; Katrin Hochrath; Markus Krupp; Jens U Marquardt; Martin Kolb; Bernhard Korn; Christof Niehrs; Tim Zimmermann; Patricio Godoy; Peter R Galle; Frank Lammert
Journal:  J Mol Med (Berl)       Date:  2012-06-06       Impact factor: 4.599

6.  Pathway Processor: a tool for integrating whole-genome expression results into metabolic networks.

Authors:  Paul Grosu; Jeffrey P Townsend; Daniel L Hartl; Duccio Cavalieri
Journal:  Genome Res       Date:  2002-07       Impact factor: 9.043

7.  Identification of unstable transcripts in Arabidopsis by cDNA microarray analysis: rapid decay is associated with a group of touch- and specific clock-controlled genes.

Authors:  Rodrigo A Gutierrez; Rob M Ewing; J Michael Cherry; Pamela J Green
Journal:  Proc Natl Acad Sci U S A       Date:  2002-08-07       Impact factor: 11.205

Review 8.  Integrating omics technologies to study pulmonary physiology and pathology at the systems level.

Authors:  Ravi Ramesh Pathak; Vrushank Davé
Journal:  Cell Physiol Biochem       Date:  2014-04-28

9.  Cytotoxic necrotizing factor 1 and hemolysin from uropathogenic Escherichia coli elicit different host responses in the murine bladder.

Authors:  Tamako A Garcia; Christy L Ventura; Mark A Smith; D Scott Merrell; Alison D O'Brien
Journal:  Infect Immun       Date:  2012-10-22       Impact factor: 3.441

10.  MgrA, an orthologue of Mga, Acts as a transcriptional repressor of the genes within the rlrA pathogenicity islet in Streptococcus pneumoniae.

Authors:  Carolyn Hemsley; Elizabeth Joyce; David L Hava; Amita Kawale; Andrew Camilli
Journal:  J Bacteriol       Date:  2003-11       Impact factor: 3.490

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