Kamu erişimi zorunlu olan makaleler - Haixu TangDaha fazla bilgi edinin
Hiçbir yerde sunulmuyor: 12
Computational framework for identification of intact glycopeptides in complex samples
A Mayampurath, CY Yu, E Song, J Balan, Y Mechref, H Tang
Analytical chemistry 86 (1), 453-463, 2014
Zorunlu olanlar: US National Institutes of Health
ProteinQuant Suite: a bundle of automated software tools for label‐free quantitative proteomics
B Mann, M Madera, Q Sheng, H Tang, Y Mechref, MV Novotny
Rapid Communications in Mass Spectrometry: An International Journal Devoted …, 2008
Zorunlu olanlar: US National Institutes of Health
Mapping site‐specific protein N‐glycosylations through liquid chromatography/mass spectrometry and targeted tandem mass spectrometry
Y Wu, Y Mechref, I Klouckova, A Mayampurath, MV Novotny, H Tang
Rapid Communications in Mass Spectrometry: An International Journal Devoted …, 2010
Zorunlu olanlar: US National Institutes of Health
Automated annotation and quantitation of glycans by liquid chromatography/electrospray ionization mass spectrometric analysis using the MultiGlycan‐ESI computational tool
Y Hu, S Zhou, CY Yu, H Tang, Y Mechref
Rapid Communications in Mass Spectrometry 29 (1), 135-142, 2015
Zorunlu olanlar: US National Institutes of Health
Label-free glycopeptide quantification for biomarker discovery in human sera
A Mayampurath, E Song, A Mathur, C Yu, Z Hammoud, Y Mechref, H Tang
Journal of proteome research 13 (11), 4821-4832, 2014
Zorunlu olanlar: US National Institutes of Health
Computational methods in mass spectrometry-based proteomics
S Li, H Tang
Translational Biomedical Informatics: A Precision Medicine Perspective, 63-89, 2016
Zorunlu olanlar: US National Institutes of Health
Enhanced structure-based prediction of chiral stationary phases for chromatographic enantioseparation from 3D molecular conformations
Y Hong, CJ Welch, P Piras, H Tang
Analytical Chemistry 96 (6), 2351-2359, 2024
Zorunlu olanlar: US National Science Foundation
A computational approach to characterizing bond linkages of glycan isomers using matrix‐assisted laser desorption/ionization tandem time‐of‐flight mass spectrometry
Q Sheng, Y Mechref, Y Li, MV Novotny, H Tang
Rapid Communications in Mass Spectrometry 22 (22), 3561-3569, 2008
Zorunlu olanlar: US National Institutes of Health
A Reciprocal Best-hit Approach to Characterize Isomeric N-Glycans Using Tandem Mass Spectrometry
R Zhang, W Peng, Y Huang, S Gautam, J Wang, Y Mechref, H Tang
Analytical Chemistry 94 (28), 10003-10010, 2022
Zorunlu olanlar: US National Institutes of Health
Improving de novo metatranscriptome assembly via machine learning algorithms
H Mohsen, H Tang, Y Ye
International Journal of Computational Biology and Drug Design 10 (2), 91-107, 2017
Zorunlu olanlar: US National Institutes of Health
A Sparse Latent Regression Approach for Integrative Analysis of Glycomic and Glycotranscriptomic Data
X Wang, S Li, W Peng, Y Mechref, H Tang
Proceedings of the 8th ACM International Conference on Bioinformatics …, 2017
Zorunlu olanlar: US National Institutes of Health
Biomarker Discovery by Mining Glycomic and Lipidomic Data
H Tang, M Dalkilic, Y Mechref
Biological Data Mining, 647-668, 2009
Zorunlu olanlar: US National Institutes of Health
Bir yerde sunuluyor: 123
The ecoresponsive genome of Daphnia pulex
JK Colbourne, ME Pfrender, D Gilbert, WK Thomas, A Tucker, TH Oakley, ...
Science 331 (6017), 555-561, 2011
Zorunlu olanlar: US National Institutes of Health, German Research Foundation
FragGeneScan: predicting genes in short and error-prone reads
M Rho, H Tang, Y Ye
Nucleic acids research 38 (20), e191-e191, 2010
Zorunlu olanlar: US National Institutes of Health
Leaky cauldron on the dark land: Understanding memory side-channel hazards in SGX
W Wang, G Chen, X Pan, Y Zhang, XF Wang, V Bindschaedler, H Tang, ...
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications …, 2017
Zorunlu olanlar: US National Science Foundation, US Department of Defense, US National …
RAPSearch2: a fast and memory-efficient protein similarity search tool for next-generation sequencing data
Y Zhao, H Tang, Y Ye
Bioinformatics 28 (1), 125-126, 2012
Zorunlu olanlar: US National Institutes of Health
MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification
T Wang, W Shao, Z Huang, H Tang, J Zhang, Z Ding, K Huang
Nature communications 12 (1), 3445, 2021
Zorunlu olanlar: US National Institutes of Health
The transcriptional diversity of 25 Drosophila cell lines
L Cherbas, A Willingham, D Zhang, L Yang, Y Zou, BD Eads, JW Carlson, ...
Genome research 21 (2), 301-314, 2011
Zorunlu olanlar: US National Institutes of Health, Howard Hughes Medical Institute
Identification of Pol IV and RDR2-dependent precursors of 24 nt siRNAs guiding de novo DNA methylation in Arabidopsis
T Blevins, R Podicheti, V Mishra, M Marasco, J Wang, D Rusch, H Tang, ...
elife 4, e09591, 2015
Zorunlu olanlar: US National Institutes of Health, Howard Hughes Medical Institute
ISEScan: automated identification of insertion sequence elements in prokaryotic genomes
Z Xie, H Tang
Bioinformatics 33 (21), 3340-3347, 2017
Zorunlu olanlar: US National Science Foundation
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