Haixu Tang

7 papers in the catalog · USA, Bloomington, La Jolla

Haixu Tang: 7 papers in the catalog · USA, Bloomington, La Jolla · Indiana University, Indiana University · Works on 157 nm photodissociation de novo sequencing, AI proteomics perspective, Constrained neo-epitope de novo sequencing

Affiliations

Indiana University
Indiana University · Computer Science
Indiana University Bloomington · Luddy School of Informatics, Computing, and Engineering
University of California San Diego · Department of Computer Science and Engineering

Elsewhere

ORCID 0000-0001-8963-8155 · OpenAlex

Papers

AI proteomics: from protein identification to virtual cells (2026, Nature Methods)
A living proteomics benchmark for comprehensive evaluation of deep learning-based de novo peptide sequencing tools (2026, Nature Methods (Registered Report))
Accurate de novo peptide sequencing using fully convolutional neural networks (2023, Nature Communications)
PepNet: A Fully Convolutional Neural Network for De novo Peptide Sequencing (2022, Research Square)
Constrained De Novo Sequencing of neo-Epitope Peptides Using Tandem Mass Spectrometry (2018, Lecture Notes in Computer Science)
Investigation of VUV photodissociation propensities using peptide libraries (2011, International Journal of Mass Spectrometry)
Shotgun Protein Sequencing by Tandem Mass Spectra Assembly (2004, Analytical Chemistry)

Methods and tools

157 nm photodissociation de novo sequencing, AI proteomics perspective, Constrained neo-epitope de novo sequencing, Living proteomics benchmark, PepNet, Shotgun Protein Sequencing

Co-authors (116)

Ranked by Newman fractional collaboration strength, so a pair on a two-author paper counts for more than a pair on a 50-author consortium paper.

Kaiyuan Liu strength 0.85, 3 shared
Sujun Li strength 0.83, 2 shared
Yuzhen Ye strength 0.83, 2 shared
Alex DeCourcy strength 0.50, 1 shared
Nuno Bandeira strength 0.35, 2 shared
Pavel A. Pevzner strength 0.33, 1 shared
Vineet Bafna strength 0.33, 1 shared
Brian C. Bohrer strength 0.17, 1 shared
James P. Reilly strength 0.17, 1 shared
Predrag Radivojac strength 0.17, 1 shared
Randy J. Arnold strength 0.17, 1 shared
Xiaohui Liu strength 0.17, 1 shared
Yong Fuga Li strength 0.17, 1 shared
Cheng Chang strength 0.04, 2 shared
Ming Li strength 0.04, 2 shared
Siqi Sun strength 0.04, 2 shared
Tiannan Guo strength 0.04, 2 shared
Wout Bittremieux strength 0.04, 2 shared
Yingying Sun strength 0.04, 2 shared
Yu Wang strength 0.04, 2 shared
Zhongzhi Luan strength 0.04, 2 shared
Alfred Nilsson strength 0.02, 1 shared
Baozhen Shan strength 0.02, 1 shared
Benjamin A. Neely strength 0.02, 1 shared
Bin Ma strength 0.02, 1 shared
Ceder Dens strength 0.02, 1 shared
Charlotte Adams strength 0.02, 1 shared
Cheng Ge strength 0.02, 1 shared
Chenyu Yao strength 0.02, 1 shared
Christian Nix strength 0.02, 1 shared
Daniela Klaproth-Andrade strength 0.02, 1 shared
Di Zhang strength 0.02, 1 shared
Ekapol Chuangsuwanich strength 0.02, 1 shared
Guillaume Deflandre strength 0.02, 1 shared
Haipeng Wang strength 0.02, 1 shared
Jeroen Van Goey strength 0.02, 1 shared
Jingbo Zhou strength 0.02, 1 shared
Joel Lapin strength 0.02, 1 shared
Julien Gagneur strength 0.02, 1 shared
Jun Xia strength 0.02, 1 shared

Seen in the charts

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