Kun Zhang mainly focuses on Genetics, Genome, DNA methylation, Computational biology and Epigenomics. As part of his studies on Genetics, Kun Zhang often connects relevant subjects like Evolutionary biology. His work in the fields of Genome, such as Whole genome sequencing and Copy-number variation, overlaps with other areas such as Somatic hypermutation.
In his research, Base excision repair, DNA glycosylase, DNA repair, DNA demethylation and Thymine-DNA glycosylase is intimately related to Molecular biology, which falls under the overarching field of DNA methylation. His research integrates issues of Polony, DNA sequencing, 2 base encoding and ABI Solid Sequencing in his study of Computational biology. The Epigenomics study combines topics in areas such as Bisulfite sequencing, Regulation of gene expression, Epigenetics and Epigenetics of physical exercise.
His primary scientific interests are in Genetics, Computational biology, DNA methylation, Genome and Human genome. CpG site, Induced pluripotent stem cell, Haplotype, Reprogramming and Linkage disequilibrium are the core of his Genetics study. His research in Reprogramming intersects with topics in Cell biology and Somatic cell.
His Computational biology research incorporates elements of Gene expression profiling, RNA, Gene, DNA sequencing and Transcriptome. His biological study spans a wide range of topics, including Methylation and Epigenetics. Kun Zhang has researched Human genome in several fields, including Evolutionary biology and Multiplex.
Kun Zhang spends much of his time researching Computational biology, Cell biology, Gene, Precision medicine and Transcriptome. His Computational biology research is multidisciplinary, relying on both Cancer, Gene expression profiling, Human tumor, Single-cell analysis and Mutation rate. His work deals with themes such as Cell culture, MiRNA binding, Cell type and Polynucleotide, which intersect with Cell biology.
His Transcriptome study combines topics in areas such as Marmoset, RNA, Chromatin, Transcription and Epigenetics. The concepts of his Epigenetics study are interwoven with issues in Promoter, Genome, DNA and dNaM. Kun Zhang combines subjects such as Microsatellite, Human genome, Cell division and Fate mapping with his study of DNA methylation.
Kun Zhang spends much of his time researching Computational biology, Transcriptome, Shared vision, Cellular resolution and Technology development. Much of his study explores Computational biology relationship to RNA. His RNA research includes elements of Transcription, Transcriptional regulation, Messenger RNA, Epigenetics and DNA sequencing.
Transcriptome is a subfield of Gene that he explores. In his study, Single-cell analysis is strongly linked to Kidney disease, which falls under the umbrella field of Gene. His work carried out in the field of Chromatin brings together such families of science as Evolutionary biology, Epigenomics, DNA methylation, Epigenome and Cell type.
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Accurate Multiplex Polony Sequencing of an Evolved Bacterial Genome
Jay Shendure;Gregory J. Porreca;Nikos B. Reppas;Xiaoxia Lin.
Somatic coding mutations in human induced pluripotent stem cells
Athurva Gore;Zhe Li;Ho Lim Fung;Jessica E. Young.
Increased methylation variation in epigenetic domains across cancer types
Kasper Daniel Hansen;Winston Timp;Winston Timp;Héctor Corrada Bravo;Héctor Corrada Bravo;Sarven Sabunciyan.
Nature Genetics (2011)
Interrogating a High-Density SNP Map for Signatures of Natural Selection
Joshua M. Akey;Ge Zhang;Kun Zhang;Kun Zhang;Li Jin.
Genome Research (2002)
In vivo genome editing via CRISPR/Cas9 mediated homology-independent targeted integration
Keiichiro Suzuki;Yuji Tsunekawa;Reyna Hernández-Benítez;Reyna Hernández-Benítez;Jun Wu;Jun Wu.
Genome-wide Regulation of 5hmC, 5mC, and Gene Expression by Tet1 Hydroxylase in Mouse Embryonic Stem Cells
Yufei Xu;Feizhen Wu;Li Tan;Lingchun Kong.
Molecular Cell (2011)
Neuronal activity modifies the DNA methylation landscape in the adult brain
Junjie U. Guo;Dengke K. Ma;Huan Mo;Madeleine P. Ball.
Nature Neuroscience (2011)
Multiplex amplification of large sets of human exons
Gregory J Porreca;Kun Zhang;Kun Zhang;Jin Billy Li;Bin Xie.
Nature Methods (2007)
Targeted bisulfite sequencing reveals changes in DNA methylation associated with nuclear reprogramming
Jie Deng;Robert Shoemaker;Bin Xie;Athurva Gore.
Nature Biotechnology (2009)
Whole-Genome Sequencing in Autism Identifies Hot Spots for De Novo Germline Mutation
Jacob J. Michaelson;Yujian Shi;Madhusudan Gujral;Hancheng Zheng.
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