Ted Laderas

Summary

Affiliation: Oregon Health and Science University
Country: USA

Publications

  1. ncbi Consensus framework for exploring microarray data using multiple clustering methods
    Ted Laderas
    Informatics Shared Resource, OHSU Cancer Institute, Portland, Oregon 97201, USA
    OMICS 11:116-28. 2007
  2. ncbi TandTRAQ: an open-source tool for integrated protein identification and quantitation
    Ted Laderas
    Informatics Shared Resource, OHSU Cancer Institute, Oregon Health and Science University, Portland, Oregon 97212, USA
    Bioinformatics 23:3394-6. 2007
  3. ncbi High throughput sequencing in mice: a platform comparison identifies a preponderance of cryptic SNPs
    Nicole A R Walter
    Research and Development Service, Portland VA Medical Center, Portland, OR, USA
    BMC Genomics 10:379. 2009

Detail Information

Publications3

  1. ncbi Consensus framework for exploring microarray data using multiple clustering methods
    Ted Laderas
    Informatics Shared Resource, OHSU Cancer Institute, Portland, Oregon 97201, USA
    OMICS 11:116-28. 2007
    ..It also provides a flexible environment to benchmark new clustering algorithms. Consense is currently available as an installable R/Bioconductor package (http://www.ohsucancer.com/isrdev/consense/)...
  2. ncbi TandTRAQ: an open-source tool for integrated protein identification and quantitation
    Ted Laderas
    Informatics Shared Resource, OHSU Cancer Institute, Oregon Health and Science University, Portland, Oregon 97212, USA
    Bioinformatics 23:3394-6. 2007
    ..The utility runs from the command-line and can be easily integrated into a pipeline for automation. Availability: The TandTRAQ Perl scripts are freely available for download at http://www.ohsucancer.com/isrdev/tandtraq/..
  3. ncbi High throughput sequencing in mice: a platform comparison identifies a preponderance of cryptic SNPs
    Nicole A R Walter
    Research and Development Service, Portland VA Medical Center, Portland, OR, USA
    BMC Genomics 10:379. 2009
    ..With the advent of next-generation, high-throughput sequencing, we are now in a position to determine to what extent polymorphisms are currently cryptic in such models and their impact on downstream analyses...