Paul T Spellman

Summary

Affiliation: University of California
Country: USA

Publications

  1. ncbi Design and implementation of microarray gene expression markup language (MAGE-ML)
    Paul T Spellman
    Department of Cell and Molecular Biology, University of California at Berkeley, Berkeley, CA 94720 3206, USA
    Genome Biol 3:RESEARCH0046. 2002
  2. ncbi Final words: cell age and cell cycle are unlinked
    Paul T Spellman
    Lawrence Berkeley National Laboratory, Life Science Division, 1 Cyclotron Road, Building 84, Room 336, Berkeley, California 94720, USA
    Trends Biotechnol 22:277-8. 2004
  3. ncbi Reply: whole-culture synchronization - effective tools for cell cycle studies
    Paul T Spellman
    Lawrence Berkeley National Laboratory, Life Science Division, 1 Cyclotron Road, Building 84, Room 336, Berkeley, California 94720, USA
    Trends Biotechnol 22:270-3. 2004
  4. ncbi GenomeGraphs: integrated genomic data visualization with R
    Steffen Durinck
    Life Sciences Department, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA 94720, USA
    BMC Bioinformatics 10:2. 2009
  5. ncbi A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes
    Richard M Neve
    Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94270, USA
    Cancer Cell 10:515-27. 2006
  6. ncbi The Toll and Imd pathways are the major regulators of the immune response in Drosophila
    Ennio De Gregorio
    , CNRS, F-91198 Gif-sur-Yvette, France
    EMBO J 21:2568-79. 2002
  7. ncbi A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB
    Tim F Rayner
    European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
    BMC Bioinformatics 7:489. 2006
  8. ncbi Genomic and transcriptional aberrations linked to breast cancer pathophysiologies
    Koei Chin
    Comprehensive Cancer Center, 2340 Sutter Street, University of California, San Francisco, San Francisco, California 94143
    Cancer Cell 10:529-41. 2006
  9. ncbi Amplification of 11q13 in ovarian carcinoma
    Lindsay A Brown
    Department of Pathology, Vancouver Coastal Health Research Institute, Genetic Pathology Evaluation Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, Canada
    Genes Chromosomes Cancer 47:481-9. 2008

Collaborators

Detail Information

Publications9

  1. ncbi Design and implementation of microarray gene expression markup language (MAGE-ML)
    Paul T Spellman
    Department of Cell and Molecular Biology, University of California at Berkeley, Berkeley, CA 94720 3206, USA
    Genome Biol 3:RESEARCH0046. 2002
    ..Only when data can be easily exchanged will the entire biological community be able to derive the full benefit from such microarray studies...
  2. ncbi Final words: cell age and cell cycle are unlinked
    Paul T Spellman
    Lawrence Berkeley National Laboratory, Life Science Division, 1 Cyclotron Road, Building 84, Room 336, Berkeley, California 94720, USA
    Trends Biotechnol 22:277-8. 2004
    ..Unfortunately the corollaries of this law are rather suspect, drawing inferences from cell age to cell size to the cell cycle...
  3. ncbi Reply: whole-culture synchronization - effective tools for cell cycle studies
    Paul T Spellman
    Lawrence Berkeley National Laboratory, Life Science Division, 1 Cyclotron Road, Building 84, Room 336, Berkeley, California 94720, USA
    Trends Biotechnol 22:270-3. 2004
    ....
  4. ncbi GenomeGraphs: integrated genomic data visualization with R
    Steffen Durinck
    Life Sciences Department, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA 94720, USA
    BMC Bioinformatics 10:2. 2009
    ..In addition, genomic data analysis requires integrated visualization of experimental data along with constantly changing genomic annotation and statistical analyses...
  5. ncbi A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes
    Richard M Neve
    Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94270, USA
    Cancer Cell 10:515-27. 2006
    ..We show, using Trastuzumab (Herceptin) monotherapy as an example, that the system can be used to identify molecular features that predict or indicate response to targeted therapies or other physiological perturbations...
  6. ncbi The Toll and Imd pathways are the major regulators of the immune response in Drosophila
    Ennio De Gregorio
    , CNRS, F-91198 Gif-sur-Yvette, France
    EMBO J 21:2568-79. 2002
    ..Interestingly, we observed that some Drosophila immune-responsive genes are located in gene clusters, which often are transcriptionally co-regulated...
  7. ncbi A simple spreadsheet-based, MIAME-supportive format for microarray data: MAGE-TAB
    Tim F Rayner
    European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
    BMC Bioinformatics 7:489. 2006
    ..However, the complexity of the MAGE-ML format has made its use impractical for laboratories lacking dedicated bioinformatics support...
  8. ncbi Genomic and transcriptional aberrations linked to breast cancer pathophysiologies
    Koei Chin
    Comprehensive Cancer Center, 2340 Sutter Street, University of California, San Francisco, San Francisco, California 94143
    Cancer Cell 10:529-41. 2006
    ..Nine of these (FGFR1, IKBKB, ERBB2, PROCC, ADAM9, FNTA, ACACA, PNMT, and NR1D1) are considered druggable. Low-level CNAs appear to contribute to cancer progression by altering RNA and cellular metabolism...
  9. ncbi Amplification of 11q13 in ovarian carcinoma
    Lindsay A Brown
    Department of Pathology, Vancouver Coastal Health Research Institute, Genetic Pathology Evaluation Centre, British Columbia Cancer Agency, University of British Columbia, Vancouver, BC, Canada
    Genes Chromosomes Cancer 47:481-9. 2008
    ..This article contains Supplementary Material available at http://www.interscience.wiley.com/jpages/1045-2257/suppmat...