Christopher E. Mason spends much of his time researching Genetics, Cancer research, Computational biology, Gene and RNA. His Gene expression profiling, RNA-Seq, Human genome, Genomics and Genome study are his primary interests in Genetics. In his study, Structural variation and Exome is inextricably linked to DNA sequencing, which falls within the broad field of Human genome.
The concepts of his Cancer research study are interwoven with issues in Leukemia, Epigenetics and Germline mutation. His Computational biology study frequently intersects with other fields, such as Normalization. His work deals with themes such as N6-Methyladenosine, Sequence analysis and Messenger RNA, which intersect with RNA.
His primary scientific interests are in Genetics, Computational biology, Genome, Gene and Cell biology. Genetics is represented through his Human genome, Gene expression profiling and Epigenetics research. His Computational biology study combines topics from a wide range of disciplines, such as RNA, Transcriptome, Genomics, DNA sequencing and Metagenomics.
His Cell biology study incorporates themes from Cell and Cellular differentiation. His Stem cell research integrates issues from Immunology and Bone marrow. His Haematopoiesis research includes elements of Progenitor cell and Myeloid, Cancer research, Myeloid leukemia.
His main research concerns Computational biology, Cell biology, Genome, Transcriptome and Disease. The various areas that he examines in his Computational biology study include Severe acute respiratory syndrome coronavirus 2 and Metagenomics. Christopher E. Mason works mostly in the field of Cell biology, limiting it down to topics relating to DNA damage and, in certain cases, Telomere.
His Genome research is within the category of Genetics. His work focuses on many connections between Transcriptome and other disciplines, such as RNA, that overlap with his field of interest in DNA, Coronavirus and Virus. As a part of the same scientific family, he mostly works in the field of Disease, focusing on Gene and, on occasion, Virology and Cancer research.
Christopher E. Mason mainly focuses on Transcriptome, Spaceflight, RNA, Computational biology and Virology. His Transcriptome research is multidisciplinary, incorporating elements of Immunology, FADS1, Genetic variation and Outbreak. The subject of his RNA research is within the realm of Genetics.
His work on Fatty acid metabolism and Fatty acid metabolic process is typically connected to FADS2, Fatty acid desaturase and Monozygotic twin as part of general Genetics study, connecting several disciplines of science. His Computational biology research is multidisciplinary, incorporating perspectives in Digital polymerase chain reaction, Concordance, Sequence analysis and Reproducibility. His Virology study combines topics in areas such as Pandemic, Gene, Coronavirus and Severe acute respiratory syndrome coronavirus 2.
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RNA-seq: An assessment of technical reproducibility and comparison with gene expression arrays
John C. Marioni;Christopher E. Mason;Shrikant M. Mane;Matthew Stephens.
Genome Research (2008)
Comprehensive Analysis of mRNA Methylation Reveals Enrichment in 3′ UTRs and near Stop Codons
Kate D. Meyer;Yogesh Saletore;Paul Zumbo;Olivier Elemento.
An integrated map of structural variation in 2,504 human genomes
Peter H. Sudmant;Tobias Rausch;Eugene J. Gardner;Robert E. Handsaker;Robert E. Handsaker.
Multiple Recurrent De Novo CNVs, Including Duplications of the 7q11.23 Williams Syndrome Region, Are Strongly Associated with Autism
Stephan J. Sanders;A. Gulhan Ercan-Sencicek;Vanessa Hus;Rui Luo.
methylKit: a comprehensive R package for the analysis of genome-wide DNA methylation profiles
Altuna Akalin;Matthias Kormaksson;Sheng Li;Francine E Garrett-Bakelman.
Genome Biology (2012)
Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome
Bastian Linder;Anya V Grozhik;Anthony O Olarerin-George;Cem Meydan.
Nature Methods (2015)
Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data
Franck Rapaport;Raya Khanin;Yupu Liang;Mono Pirun.
Genome Biology (2013)
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
Zhenqiang Su;Paweł P. Łabaj;Sheng Li;Jean Thierry-Mieg.
Nature Biotechnology (2014)
Recurrent somatic TET2 mutations in normal elderly individuals with clonal hematopoiesis
Lambert Busque;Jay P Patel;Maria E Figueroa;Aparna Vasanthakumar.
Nature Genetics (2012)
The N 6 -methyladenosine (m 6 A)-forming enzyme METTL3 controls myeloid differentiation of normal hematopoietic and leukemia cells
Ly P Vu;Brian F Pickering;Yuanming Cheng;Sara Zaccara.
Nature Medicine (2017)
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