2010 - Fellow of Alfred P. Sloan Foundation
His scientific interests lie mostly in Genetics, Computational biology, Bioinformatics, Genome and Human genome. He conducts interdisciplinary study in the fields of Genetics and Biological Ontologies through his works. His studies in Computational biology integrate themes in fields like Genomics, Copy-number variation, DNA sequencing and Gene regulatory network.
His biological study spans a wide range of topics, including DNA methylation, Gene expression profiling, Glioma, Activin receptor and Histone. His Genome study combines topics from a wide range of disciplines, such as Sanger sequencing and Sequence analysis. His Human genome research focuses on Pairwise comparison and how it relates to genomic DNA, Genomic Segment and False positive rate.
His primary areas of study are Genetics, Computational biology, Genome, DNA methylation and Bioinformatics. As part of his studies on Genetics, Michael Brudno often connects relevant subjects like Evolutionary biology. His studies in Computational biology integrate themes in fields like Copy-number variation, DNA sequencing and Sequence.
The various areas that Michael Brudno examines in his Genome study include Sequence analysis and Sequence assembly. The concepts of his DNA methylation study are interwoven with issues in Epigenetics and Human genetics. Michael Brudno is studying Phenotype, which is a component of Gene.
His main research concerns DNA methylation, Artificial intelligence, Pipeline, Software engineering and Genetics. His work carried out in the field of DNA methylation brings together such families of science as Epigenetics and Human genetics. Michael Brudno interconnects Machine learning and Natural language processing in the investigation of issues within Artificial intelligence.
His Pipeline research integrates issues from Genome editing, Cancer biology and Scalability. His work in Genetics is not limited to one particular discipline; it also encompasses Disease patterns. His study explores the link between Computational biology and topics such as Gene that cross with problems in DNA.
Michael Brudno mainly investigates DNA methylation, dNaM, Epigenetics, Epigenomics and Human genetics. DNA methylation is a subfield of Gene that he tackles. His study with Epigenetics involves better knowledge in Genetics.
His Epigenomics study incorporates themes from Exome sequencing and MAPK/ERK pathway. His studies examine the connections between Human genetics and genetics, as well as such issues in CpG site, with regards to DNA microarray. His study looks at the relationship between PRC2 and fields such as Computational biology, as well as how they intersect with chemical problems.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The ENCODE (ENCyclopedia of DNA elements) Project
E. A. Feingold;P. J. Good;M. S. Guyer;S. Kamholz.
Science (2004)
The ENCODE (ENCyclopedia of DNA elements) Project
E. A. Feingold;P. J. Good;M. S. Guyer;S. Kamholz.
Science (2004)
Genome sequence of the Brown Norway rat yields insights into mammalian evolution
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Nature (2004)
The genetic landscape of a cell.
Michael Costanzo;Anastasia Baryshnikova;Jeremy Bellay;Yungil Kim.
Science (2010)
The genetic landscape of a cell.
Michael Costanzo;Anastasia Baryshnikova;Jeremy Bellay;Yungil Kim.
Science (2010)
ProbCons: Probabilistic consistency-based multiple sequence alignment
Chuong B. Do;Mahathi S.P. Mahabhashyam;Michael Brudno;Serafim Batzoglou.
Genome Research (2005)
ProbCons: Probabilistic consistency-based multiple sequence alignment
Chuong B. Do;Mahathi S.P. Mahabhashyam;Michael Brudno;Serafim Batzoglou.
Genome Research (2005)
LAGAN and Multi-LAGAN: efficient tools for large-scale multiple alignment of genomic DNA.
Michael Brudno;Chuong B. Do;Gregory M. Cooper;Michael F. Kim.
Genome Research (2003)
LAGAN and Multi-LAGAN: efficient tools for large-scale multiple alignment of genomic DNA.
Michael Brudno;Chuong B. Do;Gregory M. Cooper;Michael F. Kim.
Genome Research (2003)
Similarity network fusion for aggregating data types on a genomic scale
Bo Wang;Aziz M Mezlini;Feyyaz Demir;Marc Fiume.
Nature Methods (2014)
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