| Title |
All Authors |
Session |
Board Number |
| FGCZ-Highfly - Mining 10 years of Protein Search results | Simon Barkow, Jonas Grossmann, Christian Panse and Ralph Schlapbach | A | 1 |
| Bioinformatical analysis of proteins and genes expressed from a single cell type. | Martin Damsbo, Christian Ravnsborg and Alexandre Podtelejnikov | A | 2 |
| Protein Identification Using Top-Down Spectra | Xiaowen Liu, Yakov Sirotkin, Yufeng Shen, Gordon Anderson, Yihsuan Tsai, Ying Ting, David Goodlett, Richard Smith, Vineet Bafna and Pavel Pevzner | A | 3 |
| ETMB-RBF: Discrimination of metal-binding sites in electron transport proteins based on efficient radial basis function networks with position-specific scoring matrices and significant amino acid pairs | Shu-An Chen, Sheng-Cheng Wu and Yu-Yen Ou | A | 4 |
| Efficient Feature Selection from Large-scale Clinical Proteomics Data Sets | Stefka Tyanova, Jürgen Cox, Tamar Geiger, Dmitrij Frishman and Matthias Mann | A | 6 |
| Expert system for automated annotation of high resolution MS/MS spectra | Nadin Neuhauser, Annette Michalski, Juergen Cox and Matthias Mann | A | 7 |
| Pairwise Protein Expression Classifier for Candidate Biomarker Discovery for Early Detection of Human Disease Prognosis | Parminder Kaur, Daniela Schlatzer, Kenneth Cooke and Mark Chance | A | 8 |
| pFind-Alioth: A Novel Unrestricted Database Searching Algorithm to Improve the Interpretation of High-Resolution MS/MS data | Hao Chi, Kun He, Zhen Chen, Bing Yang, Rui-Xiang Sun, Shengbo Fan, Kun Zhang, Chao Liu, Zuofei Yuan, Quanhui Wang, Si-Qi Liu, Meng-Qiu Dong and Si-Min He | A | 9 |
| Predicting Protein Zinc Binding Sites with RBF Networks based on PSSM Profiles and Structural Properties | Chi-Hung Wang, Yun-Ming Chang and Yu-Yen Ou | A | 10 |
| An automated method for peptidic natural product discovery by mass spectrometry and genome mining | Hosein Mohimani | A | 11 |
| UniNovo – a universal de novo peptide sequencing tool | Kyowon Jeong, Sangtae Kim and Pavel Pevzner | A | 12 |
| Sequencing-grade De-novo Analysis of MS/MS triplets (CID, HCD, and ETD) from Overlapping Peptides | Adrian Guthals, Karl Clauser, Ari Frank and Nuno Bandeira | A | 13 |
| MS PRUNA: Mass Spectrometry Peptide Re-mining Using Network Analysis | Elizabeth Mcclellan | A | 14 |
| Label-sparse SRM: a new protein quantification approach using low-cost sparse reference labeling SRM measurements | Ching-Yun Chang, Eduard Sabido, Rudei Aebersold and Olga Vitek | A | 15 |
| Semi-Quantitative Evaluation of a Proteomic Workflow for the Characterization of the Basement Membrane Proteome from Human Retinal Blood Vessels | Guy Uechi, Emanuel Schreiber, Willi Halfter and Manimalha Balasubramani | A | 16 |
| Optimizing tandem mass tag for multiplexed analysis: from acquisition to quantification | Kebing Yu, Corey Bakalarski, Victoria Pham, Lilian Phu, Don Kirkpatrick and Jennie Lill | A | 17 |
| Quantitative annotation of proteomics results (QAPR) | Brian Halligan and Andrew Greene | A | 18 |
| A hierarchical SRM acquisition chain model for improved protein quantification in serum samples | Laurent Gerfault, Pascal Szacherski, Jean-François Giovannelli, Jean-Philippe Charrier, Pierre Mahé and Pierre Grangeat | A | 19 |
| Statistical approach to absolute protein quantification | Sarah Gerster and Peter Buehlmann | A | 20 |
| Prediction of subplastidial localization of chloroplast proteins from spectral count data - Comparison of machine learning algorithms | Thomas Burger, Samuel Wieczorek, Christophe Masselon, Daniel Salvi, Norbert Rolland and Myriam Ferro | A | 21 |
| False Discovery and Localization Rates for Blind Search of Post Translational Modifications | June Snedecor and Nuno Bandeira | B | 1 |
| LuciPhor: algorithm for phosphorylation site localization based on statistical rescoring of peak intensity and mass accuracy data | Damian Fermin, Hyungwon Choi, Guomin Liu, Anne-Claude Gingras and Alexey Nesvizhskii | B | 2 |
| Comparing Phosphorylation Positions Reported by Different MS/MS Search Tools. | Markus Muller, Oliver Horlacher, Christina Ludwig, Ruedi Aebesrsold and Frédérique Lisacek | B | 3 |
| Combining Bayesian Networks and HMM for Phosphopositioning | Oliver Horlacher, Frederic Nikitin, Frederique Lisacek and Markus Müller | B | 4 |
| A new algorithm for blind modification search | Wenzhou Li, Yang Song and Vicki Wysocki | B | 5 |
| Utilizing chemical degradation technique in extended AMT-tag strategy for peptide identification: in silico studies | Anna Lobas, Anatoly Verenchikov, Anton Goloborodko, Lev Levitsky andMikhail Gorshkov | B | 6 |
| An Integrated Software for Streamlining Sequence Variant Analysis and Reducing False Positives | Michael Kim, Yong Kil, Marshall Bern, Chris Becker, Oleg Borisov and Boyan Zhang | B | 8 |
| Protein Inference by Generalized Protein Parsimony reduces False Positive Proteins in Bottom-Up Workflows | Nathan J. Edwards | B | 9 |
| MS-GF+: Universal and Sensitive Database Search Engine for Mass Spectrometry | Sangtae Kim and Pavel Pevzner | B | 10 |
| Annotating Multiplexed IMS-CID-MS Peptide Spectra | Kevin Crowell, Samuel Payne, Erin Baker, Yehia Ibrahim, Gordon Anderson and Richard Smith | B | 11 |
| Signal Processing and Spatial Segmentation of DESI Imaging Mass Spectrometry Data with Regularized and Spatially-Aware Clustering | Kyle Bemis, Livia Eberlin, Christina Ferreira, R. Graham Cooks and Olga Vitek | B | 12 |
| Spectral Library Generating Function: Assessing the Significance of Spectral Similarity | Mingxun Wang and Nuno Bandeira | B | 13 |
| Development and validation of an unidentified tandem mass spectral library searching method for biological sample fingerprinting | Wenguang Shao and Henry Lam | B | 14 |
| Exploring MS Imaging Data in a semi-supervised and interactive manner | Jocelyne Bruand, Theodore Alexandrov, Srinivas Sistla, Maxence Wisztorski, Celine Meriaux, Michael Becker, Michel Salzet, Isabelle Fournier, Eduardo Macagno, Vineet Bafna | B | 15 |
| Spectrum Identification with a Dynamic Bayesian Network model of Tandem Mass Spectra | Ajit P. Singh, John Halloran, Jeff A. Bilmes, Katrin Kirchoff and William S. Noble | B | 16 |
| Approach for large-scale Identification of linked peptides from tandem mass spectra | Jian Wang, Veronica Anania, Jeff Knot, John Rush, Jennie R. Lill, Philip E. Bourne and Nuno Bandeira | B | 17 |
| The ProteoSAFe Platform for High-Performance Discovery Proteomics | To-Ju Huang, Jeremy Carver, Claudiu Farcas, Roy Liu, Natalie Castellana, Sangtae Kim, João Canhita, Ari Frank, Jian Wang, Binal Patel, Pavel A. Pevzner, Vineet Bafna, Ingolf H. Krüger and Nuno Bandeira | B | 18 |
| Flexible Visualization of Tandem Mass Spectra and Spectral Networks Identifications | Joao Canhita and Nuno Bandeira | B | 19 |
| A gene discovery pipeline in eukaryotes using mass spectrometry | Natalie Castellana | B | 20 |
| Identification of unknown metabolites by aligning fragmentation trees | Florian Rasche, Kerstin Scheubert, Franziska Hufsky, Thomas Zichner, Marco Kai, Ales Svatos and Sebastian Böcker | B | 21 |
