Scoring Functions and Their Use in the Identification of Peptides in Mass Spectrometry - BioinfoSummer 2012 (Eugene Kapp)
PepArML: A model-free, result-combining peptide identification arbiter via machine learning Xue Wu, Chau-Wen Tseng, Nathan Edwards University of Maryland,
Data Processing Algorithms for Analysis of High Resolution MSMS Spectra of Peptides with Complex Patterns of Posttranslational Modifications Shenheng Guan.
Serono Science Scientific computing and high performance applications.
BioPilot: Data-Intensive Computing for Complex Biological Systems
PepArML: A model-free, result-combining peptide identification arbiter via machine learning
NEXT
In collaboration with BioPilot: Data-Intensive Computing for Complex Biological Systems Pacific Northwest National Laboratory Oak Ridge National Laboratory.
Peptide Identification via Tandem Mass Spectrometry Sorin Istrail.
De Novo Sequencing and Homology Searching with De Novo Sequence Tags
Practical Guide to Significantly Improve Peptide Identification Sensitivity and Accuracy
Data Validation and Annotation: PRIDEViewer and PIKE Bioinformatics analysis from proteomics data
