Rick Stevens focuses on Genome, Annotation, Metagenomics, Genetics and Genomics. His primary area of study in Genome is in the field of Genome project. Rick Stevens works mostly in the field of Genome project, limiting it down to concerns involving Information retrieval and, occasionally, Plasmidome.
Rick Stevens has researched Annotation in several fields, including Pipeline, The Internet and Service. His Metagenomics research is multidisciplinary, relying on both Microbiome, Bioinformatics, Phylogenetic diversity and Data science. As a member of one scientific family, Rick Stevens mostly works in the field of Genetics, focusing on Computational biology and, on occasion, Whole genome sequencing, MetaCyc and Set.
Rick Stevens mostly deals with Artificial intelligence, Genome, Computational biology, Genetics and Machine learning. Rick Stevens works mostly in the field of Artificial intelligence, limiting it down to topics relating to Computer vision and, in certain cases, Computer graphics. His Genome research integrates issues from Annotation and Resource.
The study incorporates disciplines such as Genome project, Service, Molecular Sequence Annotation, Pipeline and Data science in addition to Annotation. The various areas that he examines in his Computational biology study include In silico, Antibiotic resistance, Whole genome sequencing and Bacterial genome size. His research in Genomics tackles topics such as Metagenomics which are related to areas like Bioinformatics.
His primary areas of investigation include Artificial intelligence, Machine learning, Deep learning, Computational biology and Artificial neural network. Rick Stevens interconnects Drug development, Workflow and Genome in the investigation of issues within Artificial intelligence. The concepts of his Genome study are interwoven with issues in Annotation, Salmonella, Resource, Operon and Feature selection.
In his research on the topic of Annotation, Resource center and Data science is strongly related with Focus. In his study, Deep neural networks is inextricably linked to Gene, which falls within the broad field of Computational biology. His Metadata study incorporates themes from Protein Annotation, Genome project and Service.
Rick Stevens mainly investigates Artificial intelligence, Data science, Resource, Genome and Computational biology. His work carried out in the field of Artificial intelligence brings together such families of science as Class and Machine learning. His studies in Data science integrate themes in fields like Genome project, Service, Annotation, Exascale computing and Protein Annotation.
He carries out multidisciplinary research, doing studies in Annotation and Downstream. His research on Resource also deals with topics like
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The RAST Server: Rapid Annotations using Subsystems Technology
Ramy K. Aziz;Ramy K. Aziz;Daniela Bartels;Aaron A. Best;Matthew DeJongh.
BMC Genomics (2008)
The Metagenomics RAST Server: A Public Resource for the Automatic Phylogenetic and Functional Analysis of Metagenomes
Folker Meyer;Folker Meyer;Daniel Paarmann;Mark D'Souza;Robert Olson.
BMC Bioinformatics (2008)
The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST)
Ross A. Overbeek;Robert Olson;Gordon D. Pusch;Gary J. Olsen.
Nucleic Acids Research (2014)
The Subsystems Approach to Genome Annotation and its Use in the Project to Annotate 1000 Genomes
Ross Overbeek;Tadhg P. Begley;Ralph M. Butler;Jomuna Choudhuri.
Nucleic Acids Research (2005)
RASTtk: A modular and extensible implementation of the RAST algorithm for building custom annotation pipelines and annotating batches of genomes
Thomas Brettin;Thomas Brettin;James J. Davis;James J. Davis;Terry Disz;Robert A. Edwards;Robert A. Edwards.
Scientific Reports (2015)
Functional metagenomic profiling of nine biomes
Elizabeth A. Dinsdale;Robert A. Edwards;Dana Hall;Florent Angly.
PATRIC, the bacterial bioinformatics database and analysis resource
Alice R. Wattam;David Abraham;Oral Dalay;Terry Disz.
Nucleic Acids Research (2014)
High-throughput generation, optimization and analysis of genome-scale metabolic models
Christopher S Henry;Matthew DeJongh;Aaron A Best;Paul M Frybarger.
Nature Biotechnology (2010)
Improvements to PATRIC, the all-bacterial Bioinformatics Database and Analysis Resource Center
Alice R. Wattam;James J. Davis;James J. Davis;Rida Assaf;Sébastien Boisvert.
Nucleic Acids Research (2017)
The International Exascale Software Project roadmap
Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts.
ieee international conference on high performance computing data and analytics (2011)
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