His primary areas of investigation include Genetics, DNA methylation, Methylation, Computational biology and Genome. His Genetics and Gene, Epigenetics, Regulation of gene expression, Gene expression profiling and PAR-CLIP investigations all form part of his Genetics research activities. His study in Bisulfite sequencing and Epigenomics are all subfields of DNA methylation.
In his research, Illumina Methylation Assay, Retrotransposon, Germ cell, Reprogramming and Somatic cell is intimately related to RNA-Directed DNA Methylation, which falls under the overarching field of Methylation. Andrew D. Smith combines subjects such as RNA-Protein Interaction and Identification with his study of Computational biology. His biological study spans a wide range of topics, including Data mining and Task.
His primary areas of study are Genetics, Computational biology, DNA methylation, Gene and Genome. His Computational biology research incorporates elements of Sequence analysis, Bioinformatics, RNA, RNA-binding protein and Human genetics. His DNA methylation research is multidisciplinary, incorporating perspectives in Methylation and Epigenetics.
His work on Transcription factor, Transcriptome, DNA binding site and Ribosome profiling as part of his general Gene study is frequently connected to Conserved sequence, thereby bridging the divide between different branches of science. His Genome study integrates concerns from other disciplines, such as Task, DNA hypomethylation and DNA sequencing. His study looks at the relationship between RNA-Directed DNA Methylation and fields such as Illumina Methylation Assay, as well as how they intersect with chemical problems.
Andrew D. Smith mainly focuses on Computational biology, Cancer research, Gene, Transcription and DNA methylation. His Computational biology study incorporates themes from Genome, Kidney, Human genetics and Profiling. His research on Gene concerns the broader Genetics.
His Transcription research integrates issues from Promoter, RNA splicing and Retrotransposon, Transposable element. The DNA methylation study combines topics in areas such as Prokaryote, Methylation, DNA and Epigenetics. His work in Methylation tackles topics such as Regulation of gene expression which are related to areas like Cellular differentiation.
Andrew D. Smith focuses on Computational biology, Messenger RNA, RNA, Cellular differentiation and Cancer research. Andrew D. Smith interconnects Library preparation and Genome in the investigation of issues within Computational biology. The concepts of his RNA study are interwoven with issues in Transcription factor, FOXM1 and Transcription.
His studies in Cellular differentiation integrate themes in fields like Renal corpuscle, Transplantation and Cell biology. His RNA splicing study is concerned with Gene in general. His is involved in several facets of Gene study, as is seen by his studies on Epigenetics, Regulation of gene expression, Chromatin, Enhancer and DNA methylation.
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Analysis of the Vertebrate Insulator Protein CTCF-Binding Sites in the Human Genome
Tae Hoon Kim;Ziedulla K. Abdullaev;Andrew D. Smith;Keith A. Ching.
Cell (2007)
An integrative genomics approach identifies Hypoxia Inducible Factor-1 (HIF-1)-target genes that form the core response to hypoxia
Yair Benita;Hirotoshi Kikuchi;Andrew D. M. Smith;Michael Q. Zhang.
Nucleic Acids Research (2009)
Using quality scores and longer reads improves accuracy of Solexa read mapping
Andrew D. M. Smith;Zhenyu Xuan;Michael Q. Zhang.
BMC Bioinformatics (2008)
Sperm methylation profiles reveal features of epigenetic inheritance and evolution in primates
Antoine Molaro;Emily Hodges;Fang Fang;Qiang Song.
Cell (2011)
Directional DNA Methylation Changes and Complex Intermediate States Accompany Lineage Specificity in the Adult Hematopoietic Compartment
Emily Hodges;Emily Hodges;Antoine Molaro;Antoine Molaro;Camila O. Dos Santos;Camila O. Dos Santos;Pramod Thekkat;Pramod Thekkat.
Molecular Cell (2011)
A model of breast cancer heterogeneity reveals vascular mimicry as a driver of metastasis
Elvin Wagenblast;Mar Soto;Sara Gutiérrez-Ángel;Christina A. Hartl.
Nature (2015)
The maize methylome influences mRNA splice sites and reveals widespread paramutation-like switches guided by small RNA.
Michael Regulski;Zhenyuan Lu;Jude Kendall;Mark T.A. Donoghue.
Genome Research (2013)
High definition profiling of mammalian DNA methylation by array capture and single molecule bisulfite sequencing
Emily Hodges;Andrew D. Smith;Andrew D. Smith;Jude Kendall;Zhenyu Xuan.
Genome Research (2009)
A Reference Methylome Database and Analysis Pipeline to Facilitate Integrative and Comparative Epigenomics
Qiang Song;Benjamin Decato;Elizabeth E. Hong;Meng Zhou.
PLOS ONE (2013)
Site identification in high-throughput RNA–protein interaction data
Philip J. Uren;Emad Bahrami-Samani;Suzanne C. Burns;Mei Qiao.
Bioinformatics (2012)
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