D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Biology and Biochemistry D-index 55 Citations 22,598 108 World Ranking 7488 National Ranking 262
Computer Science D-index 52 Citations 21,708 136 World Ranking 3279 National Ranking 132

Research.com Recognitions

Awards & Achievements

2010 - Fellow of Alfred P. Sloan Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • DNA
  • Genetics

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 most cited work include:

  • The genetic landscape of a cell. (1828 citations)
  • Genome sequence of the Brown Norway rat yields insights into mammalian evolution (1795 citations)
  • The ENCODE (ENCyclopedia of DNA elements) Project (1725 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Genetics (34.87%)
  • Computational biology (22.56%)
  • Genome (19.49%)

What were the highlights of his more recent work (between 2018-2021)?

  • DNA methylation (11.28%)
  • Artificial intelligence (6.15%)
  • Pipeline (6.15%)

In recent papers he was focusing on the following fields of study:

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.

Between 2018 and 2021, his most popular works were:

  • Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources. (276 citations)
  • Expanding the Boundaries of RNA Sequencing as a Diagnostic Tool for Rare Mendelian Disease. (90 citations)
  • Alterations in ALK/ROS1/NTRK/MET drive a group of infantile hemispheric gliomas (47 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • DNA
  • Mutation

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.

Best Publications

The ENCODE (ENCyclopedia of DNA elements) Project

E. A. Feingold;P. J. Good;M. S. Guyer;S. Kamholz.
Science (2004)

2921 Citations

The ENCODE (ENCyclopedia of DNA elements) Project

E. A. Feingold;P. J. Good;M. S. Guyer;S. Kamholz.
Science (2004)

2921 Citations

Genome sequence of the Brown Norway rat yields insights into mammalian evolution

.
Nature (2004)

2389 Citations

The genetic landscape of a cell.

Michael Costanzo;Anastasia Baryshnikova;Jeremy Bellay;Yungil Kim.
Science (2010)

2362 Citations

The genetic landscape of a cell.

Michael Costanzo;Anastasia Baryshnikova;Jeremy Bellay;Yungil Kim.
Science (2010)

2362 Citations

ProbCons: Probabilistic consistency-based multiple sequence alignment

Chuong B. Do;Mahathi S.P. Mahabhashyam;Michael Brudno;Serafim Batzoglou.
Genome Research (2005)

1420 Citations

ProbCons: Probabilistic consistency-based multiple sequence alignment

Chuong B. Do;Mahathi S.P. Mahabhashyam;Michael Brudno;Serafim Batzoglou.
Genome Research (2005)

1420 Citations

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)

1300 Citations

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)

1300 Citations

Similarity network fusion for aggregating data types on a genomic scale

Bo Wang;Aziz M Mezlini;Feyyaz Demir;Marc Fiume.
Nature Methods (2014)

1258 Citations

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