Steffen Heber

Summary

Affiliation: University of California
Country: USA

Publications

  1. ncbi Splicing graphs and EST assembly problem
    Steffen Heber
    Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, 92093 0114, USA
    Bioinformatics 18:S181-8. 2002
  2. ncbi The European conference on computational biology
    Steffen Heber
    Department of Computer Science and Engineering, University of California, San Diego, USA
    Drug Discov Today 8:113-4. 2003
  3. ncbi Correcting base-assignment errors in repeat regions of shotgun assembly
    Degui Zhi
    Bioinformatics Program, University of California, San Diego, La Jolla 92093, USA
    IEEE/ACM Trans Comput Biol Bioinform 4:54-64. 2007
  4. ncbi The Alternative Splicing Gallery (ASG): bridging the gap between genome and transcriptome
    Jeremy Leipzig
    Department of Computer Science, College of Engineering, North Carolina State University, Raleigh, NC 27695-7566, USA
    Nucleic Acids Res 32:3977-83. 2004
  5. ncbi RACE: Remote Analysis Computation for gene Expression data
    Michael Psarros
    DNA Array Facility, Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
    Nucleic Acids Res 33:W638-43. 2005
  6. ncbi In silico prediction of yeast deletion phenotypes
    Soma Saha
    Department of Computer Science, North Carolina State University, Raleigh, NC, USA
    Genet Mol Res 5:224-32. 2006
  7. ncbi Quality assessment of Affymetrix GeneChip data
    Steffen Heber
    Department of Computer Science, North Carolina State University, Raleigh, North Carolina, USA
    OMICS 10:358-68. 2006

Collaborators

Detail Information

Publications7

  1. ncbi Splicing graphs and EST assembly problem
    Steffen Heber
    Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, 92093 0114, USA
    Bioinformatics 18:S181-8. 2002
    ..We further design an algorithm to assemble EST reads into the splicing graph rather than assembling them into each splicing variant in a case-by-case fashion...
  2. ncbi The European conference on computational biology
    Steffen Heber
    Department of Computer Science and Engineering, University of California, San Diego, USA
    Drug Discov Today 8:113-4. 2003
    ..Highlights from the first European Conference on Computational Biology (ECCB 2002), held in conjunction with the German Conference on Bioinformatics (GCB 2002), 6-9 October 2002, Saarbrücken, Germany...
  3. ncbi Correcting base-assignment errors in repeat regions of shotgun assembly
    Degui Zhi
    Bioinformatics Program, University of California, San Diego, La Jolla 92093, USA
    IEEE/ACM Trans Comput Biol Bioinform 4:54-64. 2007
    ..We demonstrate that EULER-AIR is a software tool that can be used to find and correct base-assignment errors in a genome assembly project...
  4. ncbi The Alternative Splicing Gallery (ASG): bridging the gap between genome and transcriptome
    Jeremy Leipzig
    Department of Computer Science, College of Engineering, North Carolina State University, Raleigh, NC 27695-7566, USA
    Nucleic Acids Res 32:3977-83. 2004
    ..2 million sequences. We found that approximately 65% of the investigated genes show evidence for alternative splicing, and in 5% of the cases, a single gene might produce over 100 transcripts...
  5. ncbi RACE: Remote Analysis Computation for gene Expression data
    Michael Psarros
    DNA Array Facility, Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
    Nucleic Acids Res 33:W638-43. 2005
    ..RACE is freely available for use at http://race.unil.ch...
  6. ncbi In silico prediction of yeast deletion phenotypes
    Soma Saha
    Department of Computer Science, North Carolina State University, Raleigh, NC, USA
    Genet Mol Res 5:224-32. 2006
    ..To demonstrate how this approach might complement existing experimental procedures, we applied our algorithm to predict essential genes and genes causing morphological alterations in yeast...
  7. ncbi Quality assessment of Affymetrix GeneChip data
    Steffen Heber
    Department of Computer Science, North Carolina State University, Raleigh, North Carolina, USA
    OMICS 10:358-68. 2006
    ..We also describe RNA quality assessment methods which play an important role in challenging RNA sources like formalin embedded biopsies, laser-micro dissected samples, or single cells. No wet-lab methods are discussed in this paper...