Sujun Li

发表

Computational Methods in Mass Spectrometry-Based Proteomics.

Haixu Tang, Sujun Li, 2016, Advances in experimental medicine and biology.

Impact of Amidination on Peptide Fragmentation and Identification in Shotgun Proteomics.

P. Radivojac, Haixu Tang, J. Reilly, 2016, Journal of proteome research.

Computational proteogenomic identification and functional interpretation of translated fusions and micro structural variations in cancer

Faraz Hach, S. C. Sahinalp, C. Collins, 2017, bioRxiv.

Roles of bacteriophages, plasmids and CRISPR immunity in microbial community dynamics revealed using time-series integrated meta-omics

P. May, C. Laczny, L. Lebrun, 2020, Nature microbiology.

A Graph-Centric Approach for Metagenome-Guided Peptide and Protein Identification in Metaproteomics

Haixu Tang, Sujun Li, Yuzhen Ye, 2016, PLoS Comput. Biol..

Integration of time-series meta-omics data reveals how microbial ecosystems respond to disturbance

Rohan B. H. Williams, A. Heintz‐Buschart, P. May, 2020, Nature Communications.

A Fast and Memory‐Efficient Spectral Library Search Algorithm Using Locality‐Sensitive Hashing

Haixu Tang, Lei Wang, Sujun Li, 2020, Proteomics.

A Sparse Latent Regression Approach for Integrative Analysis of Glycomic and Glycotranscriptomic Data

Haixu Tang, Sujun Li, Yehia Mechref, 2017, BCB.

Improving phosphopeptide identification in shotgun proteomics by supervised filtering of peptide-spectrum matches

Predrag Radivojac, Haixu Tang, Sujun Li, 2013, BCB.

XLSearch: a Probabilistic Database Search Algorithm for Identifying Cross-Linked Peptides.

P. Radivojac, Haixu Tang, J. Reilly, 2016, Journal of proteome research.

A Meta-proteogenomic Approach to Peptide Identification Incorporating Assembly Uncertainty and Genomic Variation*

Haixu Tang, Sujun Li, Yuzhen Ye, 2019, Molecular & Cellular Proteomics.

Identification of N-terminal protein processing sites by chemical labeling mass spectrometry.

P. Radivojac, Haixu Tang, J. Reilly, 2019, Rapid communications in mass spectrometry : RCM.

Proteomic Evidence for In-Frame and Out-of-Frame Alternatively Spliced Isoforms in Human and Mouse

Predrag Radivojac, Sujun Li, Matthew W. Hahn, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Computational identification of micro‐structural variations and their proteogenomic consequences in cancer

Faraz Hach, Haixu Tang, Süleyman Cenk Sahinalp, 2018, Bioinform..

Cancer-associated Fibroblasts induce epithelial-mesenchymal transition via the Transglutaminase 2-dependent IL-6/IL6R/STAT3 axis in Hepatocellular Carcinoma

Wei Liu, Lei-lei Huang, Sujun Li, 2020, International journal of biological sciences.

A maximum-likelihood approach to absolute protein quantification in mass spectrometry

Predrag Radivojac, Haixu Tang, Sujun Li, 2015, BCB.

Non-Specific Signal Peptidase Processing of Extracellular Proteins in Staphylococcus aureus N315

P. Radivojac, Haixu Tang, J. Karty, 2023, Proteomes.

Roles of bacteriophages, plasmids and CRISPR immunity in microbial community dynamics revealed using time-series integrated meta-omics

P. May, C. Laczny, L. Lebrun, 2020, Nature Microbiology.

Constrained De Novo Sequencing of neo-Epitope Peptides Using Tandem Mass Spectrometry

Haixu Tang, Sujun Li, Alex DeCourcy, 2018, RECOMB.

Full-Spectrum Prediction of Peptides Tandem Mass Spectra using Deep Neural Network.

Haixu Tang, Yuzhen Ye, Sujun Li, 2020, Analytical chemistry.

On the privacy risks of sharing clinical proteomics data

Haixu Tang, Nuno Bandeira, Sujun Li, 2016, CRI.

Using high-abundance proteins as guides for fast and effective peptide/protein identification from human gut metaproteomic data

Yuzhen Ye, M. Stamboulian, Sujun Li, 2020, Microbiome.

Using high abundance proteins as guides for fast and effective peptide/protein identification from metaproteomic data

Yuzhen Ye, Sujun Li, Moses H. Stamboulian, 2020, bioRxiv.

On the accuracy and limits of peptide fragmentation spectrum prediction.

Predrag Radivojac, Haixu Tang, Sujun Li, 2011, Analytical chemistry.

GlycoSLASH: Concurrent Glycopeptide Identification from Multiple Related LC-MS/MS Data Sets by Using Spectral Clustering and Library Searching.

Haixu Tang, D. Lubman, Sujun Li, 2023, Journal of proteome research.

msCRUSH: Fast Tandem Mass Spectral Clustering Using Locality Sensitive Hashing.

Lei Wang, Haixu Tang, Sujun Li, 2018, Journal of proteome research.

3DMolMS: prediction of tandem mass spectra from 3D molecular conformations

Yuzhen Ye, Sujun Li, S. Tichy, 2023, bioRxiv.

msCRUSH: fast tandem mass spectra clustering using locality sensitive hashing

Lei Wang, Haixu Tang, Sujun Li, 2018, bioRxiv.

Identification of N-terminal protein processing sites by chemical labeling mass spectrometry.

P. Radivojac, Haixu Tang, J. Reilly, 2019, Rapid communications in mass spectrometry : RCM.

Accurate de novo peptide sequencing using fully convolutional neural networks

Sujun Li, Yuzhen Ye, Kaiyuan Liu, 2023, Nature communications.