M
Michael Q. Zhang
Researcher at Tsinghua University
Publications - 396
Citations - 46412
Michael Q. Zhang is an academic researcher from Tsinghua University. The author has contributed to research in topics: Gene & Chromatin. The author has an hindex of 93, co-authored 378 publications receiving 42008 citations. Previous affiliations of Michael Q. Zhang include Chinese Academy of Sciences & Peking Union Medical College Hospital.
Papers
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Journal ArticleDOI
Fission yeast gene structure and recognition
Michael Q. Zhang,Thomas G. Marr +1 more
TL;DR: A rule-based interactive computer program for finding introns called INTRON.PLOT has been developed and was used to successfully analyze 7 newly sequenced genes, including those of Schizosaccharomyces pombe DNA sequences.
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Tissue-specific regulatory elements in mammalian promoters.
TL;DR: A systematic analysis of promoters controlling tissue‐specific expression in heart, kidney, liver, pancreas, skeletal muscle, testis and CD4 T cells, for both human and mouse produces a catalog of predicted tissue‐ specific motifs and modules, and cis‐regulatory elements.
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Super-paramagnetic clustering of yeast gene expression profiles
TL;DR: The application of a novel clustering algorithm, super-paramagnetic clustering (SPC) to analysis of gene expression profiles that were generated recently during a study of the yeast cell cycle revealed interesting correlated behavior of several groups of genes which has not been previously identified.
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Periodical distribution of transcription factor sites in promoter regions and connection with chromatin structure
TL;DR: A statistically significant overrepresentation of TF sites distributed with the main period of 10.1-10.5 bp in the region -50 to +120 around the transcription start site and in few locations nearby is obtained.
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SEAM is a spatial single nuclear metabolomics method for dissecting tissue microenvironment.
Zhiyuan Yuan,Qiming Zhou,Lesi Cai,Lin Pan,Weiliang Sun,Shiwei Qumu,Si Yu,Jiaxin Feng,Hansen Zhao,Yongchang Zheng,Minglei Shi,Shao Li,Yang Chen,Yang Chen,Xinrong Zhang,Michael Q. Zhang,Michael Q. Zhang +16 more
TL;DR: A novel Spatial single nuclEar metAboloMics (SEAM) method, a scalable platform combining high resolution imaging mass spectrometry (IMS) and a series of computational algorithms, that can display multiscale/multicolor tissue tomography together with identification and clustering of single nuclei by their in situ metabolic fingerprints.