Steven E. Brenner mainly investigates Genetics, Computational biology, Bioinformatics, Structural Classification of Proteins database and Gene. The RNA splicing, Genome, Human genome and Sequence analysis research Steven E. Brenner does as part of his general Genetics study is frequently linked to other disciplines of science, such as Chain termination, therefore creating a link between diverse domains of science. His Computational biology research incorporates themes from Metagenomics, Annotation, Sequence alignment and Genomics.
His Bioinformatics research includes elements of Sequence logo, Set, Structural genomics and Source code. His Structural Classification of Proteins database research is multidisciplinary, incorporating elements of Information retrieval, Database and Pairwise comparison. In his work, Sequence is strongly intertwined with Similarity, which is a subfield of Pairwise comparison.
Steven E. Brenner mostly deals with Computational biology, Genetics, Genome, Gene and Bioinformatics. His study in Computational biology is interdisciplinary in nature, drawing from both Proteome, Protein domain, Selection and Protein structure, Structural genomics. The concepts of his Genome study are interwoven with issues in Disease and Interpretation.
His work in Bioinformatics is not limited to one particular discipline; it also encompasses Set. His RNA splicing study integrates concerns from other disciplines, such as Alternative splicing and Exon. While the research belongs to areas of Structural Classification of Proteins database, Steven E. Brenner spends his time largely on the problem of Information retrieval, intersecting his research to questions surrounding Structure.
Steven E. Brenner spends much of his time researching Computational biology, Genome, Gene, Critical assessment and Precision medicine. Steven E. Brenner has researched Computational biology in several fields, including Cancer, Genomics, Single amino acid, Trait and In silico. His Genome study is focused on Genetics in general.
His work in the fields of Gene, such as Disease gene, Coding region, Nonsense-mediated decay and Alternative splicing, overlaps with other areas such as Neurological disorder. His work investigates the relationship between Precision medicine and topics such as Data science that intersect with problems in Profiling. His Interpretation study frequently draws connections to other fields, such as Bioinformatics.
His main research concerns Computational biology, Database, Genome, Protein Data Bank and Structural Classification of Proteins database. His work carried out in the field of Computational biology brings together such families of science as Genetics, Field, Protein structure prediction, CDKN2A and Source code. His biological study spans a wide range of topics, including Cellular functions and DNA sequencing.
Steven E. Brenner focuses mostly in the field of Genome, narrowing it down to topics relating to Interpretation and, in certain cases, Bioinformatics and Disease. His research investigates the connection between Bioinformatics and topics such as Data science that intersect with problems in Precision medicine and Exome sequencing. His Structural Classification of Proteins database study combines topics from a wide range of disciplines, such as Protein domain, Spliceosome and Protein family.
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WebLogo: A Sequence Logo Generator
Gavin E. Crooks;Gary Hon;John Marc Chandonia;Steven E. Brenner;Steven E. Brenner.
Genome Research (2004)
SCOP: a structural classification of proteins database for the investigation of sequences and structures.
Alexey G. Murzin;Steven E. Brenner;Tim Hubbard;Cyrus Chothia.
Journal of Molecular Biology (1995)
The Transcriptional Landscape of the Mammalian Genome
P. Carninci;T. Kasukawa;S. Katayama;J. Gough.
The Bioperl Toolkit: Perl Modules for the Life Sciences
Jason E. Stajich;David Block;David Block;Kris Boulez;Steven E. Brenner.
Genome Research (2002)
The developmental transcriptome of Drosophila melanogaster
Brenton R. Graveley;Angela N. Brooks;Joseph W. Carlson;Michael O. Duff.
Evidence for the widespread coupling of alternative splicing and nonsense-mediated mRNA decay in humans
Benjamin P. Lewis;Richard E. Green;Steven E. Brenner.
Proceedings of the National Academy of Sciences of the United States of America (2003)
SCOP Database in 2004: Refinements Integrate Structure and Sequence Family Data
Antonina Andreeva;Dave Howorth;Steven E. Brenner;Tim J. P. Hubbard.
Nucleic Acids Research (2004)
Data growth and its impact on the SCOP database: new developments.
Antonina Andreeva;Dave Howorth;John-Marc Chandonia;Steven E. Brenner.
Nucleic Acids Research (2007)
Identification of Functional Elements and Regulatory Circuits by Drosophila modENCODE
Sushmita Roy;Jason Ernst;Peter V. Kharchenko;Pouya Kheradpour.
Errors in genome annotation.
Steven E. Brenner.
Trends in Genetics (1999)
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