Adrian Guthals

Summary

Affiliation: University of California
Country: USA

Publications

  1. pmc Shotgun protein sequencing with meta-contig assembly
    Adrian Guthals
    Department of Computer Science and Engineering, University of California San Diego, La Jolla, California 92093, USA
    Mol Cell Proteomics 11:1084-96. 2012
  2. pmc Sequencing-grade de novo analysis of MS/MS triplets (CID/HCD/ETD) from overlapping peptides
    Adrian Guthals
    Department of Computer Science and Engineering, University of California San Diego, La Jolla, California 92093, United States
    J Proteome Res 12:2846-57. 2013
  3. pmc The generating function approach for Peptide identification in spectral networks
    Adrian Guthals
    1 Department of Computer Science and Engineering, University of California San Diego, La Jolla, California
    J Comput Biol 22:353-66. 2015
  4. pmc Peptide identification by tandem mass spectrometry with alternate fragmentation modes
    Adrian Guthals
    Department of Computer Science and Engineering, University of California, San Diego, California, USA
    Mol Cell Proteomics 11:550-7. 2012

Detail Information

Publications4

  1. pmc Shotgun protein sequencing with meta-contig assembly
    Adrian Guthals
    Department of Computer Science and Engineering, University of California San Diego, La Jolla, California 92093, USA
    Mol Cell Proteomics 11:1084-96. 2012
    ..We demonstrate Meta-SPS using distinct MS/MS data sets obtained with separate enzymatic digestions and discuss how the remaining de novo sequencing limitations relate to MS/MS acquisition settings...
  2. pmc Sequencing-grade de novo analysis of MS/MS triplets (CID/HCD/ETD) from overlapping peptides
    Adrian Guthals
    Department of Computer Science and Engineering, University of California San Diego, La Jolla, California 92093, United States
    J Proteome Res 12:2846-57. 2013
    ..Using these strategies, we show that triplet CID/HCD/ETD MS/MS spectra from overlapping peptides yield de novo sequences of average length 70 AA and as long as 200 AA at up to 99% sequencing accuracy...
  3. pmc The generating function approach for Peptide identification in spectral networks
    Adrian Guthals
    1 Department of Computer Science and Engineering, University of California San Diego, La Jolla, California
    J Comput Biol 22:353-66. 2015
    ..After benchmarking this approach on a typical lysate MS/MS dataset, we show that the proposed intersecting spectral probabilities for spectra from overlapping peptides improve peptide identification by 30-62%. ..
  4. pmc Peptide identification by tandem mass spectrometry with alternate fragmentation modes
    Adrian Guthals
    Department of Computer Science and Engineering, University of California, San Diego, California, USA
    Mol Cell Proteomics 11:550-7. 2012
    ....