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Yu Xue

Researcher at Nanjing University of Information Science and Technology

Publications -  366
Citations -  23197

Yu Xue is an academic researcher from Nanjing University of Information Science and Technology. The author has contributed to research in topics: Computer science & Phosphorylation. The author has an hindex of 54, co-authored 311 publications receiving 17652 citations. Previous affiliations of Yu Xue include Guangxi University & Michigan State University.

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Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

Daniel J. Klionsky, +2522 more
- 21 Jan 2016 - 
TL;DR: In this paper, the authors present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macro-autophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes.
Journal ArticleDOI

Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

Daniel J. Klionsky, +2983 more
- 08 Feb 2021 - 
TL;DR: In this article, the authors present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes.
Journal ArticleDOI

HemI: a toolkit for illustrating heatmaps.

TL;DR: An easy-to-use tool named HemI (Heat map Illustrator), which can visualize either gene or protein expression data in heatmaps and provides multiple clustering strategies for analyzing the data.
Journal ArticleDOI

IBS: an illustrator for the presentation and visualization of biological sequences.

TL;DR: A software package called illustrator of biological sequences (IBS) that can be used for representing the organization of either protein or nucleotide sequences in a convenient, efficient and precise manner.
Journal ArticleDOI

GPS 2.0, a Tool to Predict Kinase-specific Phosphorylation Sites in Hierarchy

TL;DR: This work adopted a well established rule to classify PKs into a hierarchical structure with four levels, including group, family, subfamily, and single PK, and developed a simple approach to estimate the theoretically maximal false positive rates.