His primary areas of investigation include Genetics, Genome, Gene, Human genome and Genomics. His is involved in several facets of Genetics study, as is seen by his studies on Phylogenetics, Pseudogene, Sequence analysis, Takifugu rubripes and Genetic variation. Gustavo Glusman has included themes like Data science and DNA sequencing in his Genome study.
His Gene study combines topics in areas such as Smell Perception and Database. His Genomics research incorporates elements of Genetic diversity, Genetic divergence, Antigen and MHC class I, MHC Class I Gene. In his work, Computational biology is strongly intertwined with Synteny, which is a subfield of Genome evolution.
His scientific interests lie mostly in Genetics, Genome, Gene, Computational biology and Genomics. His study involves Human genome, Pseudogene, Gene family, Locus and Sequence analysis, a branch of Genetics. His work in Genome tackles topics such as Haplotype which are related to areas like Chromosomal region, Mutation and Age of onset.
His work carried out in the field of Computational biology brings together such families of science as Interspersed repeat, Fingerprint, Computational genomics and Genotype. His study in the fields of Comparative genomics under the domain of Genomics overlaps with other disciplines such as Software. Gustavo Glusman frequently studies issues relating to Genome evolution and Reference genome.
Gustavo Glusman mostly deals with Computational biology, Genetics, Borrelia burgdorferi, Big data and Lyme disease. His Computational biology research is multidisciplinary, incorporating perspectives in Single-nucleotide polymorphism, Genotype, Computational genomics and Genetic testing. His is doing research in Whole genome sequencing, Single mutation, Mutation, Allele and De novo mutations, both of which are found in Genetics.
Whole genome sequencing is a subfield of Gene that Gustavo Glusman investigates. His biological study spans a wide range of topics, including Blood proteins, Borrelia and Antibody. In his articles, Gustavo Glusman combines various disciplines, including Genome and Benchmarking.
Gustavo Glusman mainly focuses on Data mining, Big data, Normalization, Threshold curve and R package. Among his research on Data mining, you can see a combination of other fields of science like Software, Heuristic, Pipeline and Correctness. His research integrates issues of Analytics, Data science and Interoperability in his study of Big data.
The Database normalization research Gustavo Glusman does as part of his general Normalization study is frequently linked to other disciplines of science, such as Future studies, therefore creating a link between diverse domains of science.
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.
Initial sequencing and comparative analysis of the mouse genome.
Robert H. Waterston;Kerstin Lindblad-Toh;Ewan Birney;Jane Rogers.
Initial sequence of the chimpanzee genome and comparison with the human genome
Tarjei S. Mikkelsen;LaDeana W. Hillier.
Whole-genome shotgun assembly and analysis of the genome of Fugu rubripes.
Samuel Aparicio;Jarrod Chapman;Elia Stupka;Nik Putnam.
The evolution of vertebrate Toll-like receptors
Jared C. Roach;Gustavo Glusman;Lee Rowen;Amardeep Kaur.
Proceedings of the National Academy of Sciences of the United States of America (2005)
Analysis of genetic inheritance in a family quartet by whole-genome sequencing
Jared C. Roach;Gustavo Glusman;Arian F. A. Smit;Chad D. Huff;Chad D. Huff.
The Complete Human Olfactory Subgenome
Gustavo Glusman;Itai Yanai;Irit Rubin;Doron Lancet.
Genome Research (2001)
An international effort towards developing standards for best practices in analysis, interpretation and reporting of clinical genome sequencing results in the CLARITY Challenge.
Catherine A. Brownstein;Alan H. Beggs;Nils Homer;Barry Merriman.
P4 medicine: how systems medicine will transform the healthcare sector and society
Mauricio Flores;Gustavo Glusman;Kristin Brogaard;Nathan D Price.
Personalized Medicine (2013)
Identification of the gene causing mucolipidosis type IV
Ruth Bargal;Nili Avidan;Edna Ben-Asher;Zvia Olender.
Nature Genetics (2000)
Genome sequence of Haloarcula marismortui: A halophilic archaeon from the Dead Sea
Nitin S. Baliga;Richard Bonneau;Marc T. Facciotti;Min Pan.
Genome Research (2004)
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