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Deepak Chandran
Researcher at University of Washington
Publications - 27
Citations - 1083
Deepak Chandran is an academic researcher from University of Washington. The author has contributed to research in topics: Synthetic biology & Modular design. The author has an hindex of 12, co-authored 25 publications receiving 987 citations. Previous affiliations of Deepak Chandran include Autodesk.
Papers
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Journal ArticleDOI
The Synthetic Biology Open Language (SBOL) provides a community standard for communicating designs in synthetic biology
Michal Galdzicki,Kevin Clancy,Ernst Oberortner,Matthew Pocock,Jacqueline Quinn,Cesar Rodriguez,Nicholas Roehner,Mandy L. Wilson,Laura Adam,J. Christopher Anderson,Bryan Bartley,Jacob Beal,Deepak Chandran,Joanna Chen,Douglas Densmore,Drew Endy,Raik Grünberg,Jennifer Hallinan,Nathan J. Hillson,Jeffrey Johnson,Allan Kuchinsky,Matthew W. Lux,Goksel Misirli,Jean Peccoud,Hector Plahar,Evren Sirin,Guy-Bart Stan,Alan Villalobos,Anil Wipat,John H. Gennari,Chris J. Myers,Herbert M. Sauro +31 more
TL;DR: The Synthetic Biology Open Language (SBOL) is described, a proposed data standard for exchanging designs within the synthetic biology community that represents synthetic biology designs in a community-driven, formalized format for exchange between software tools, research groups and commercial service providers.
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TinkerCell: modular CAD tool for synthetic biology.
TL;DR: TinkerCell as mentioned in this paper is a visual modeling tool that supports a hierarchy of biological parts, each part consists of a set of attributes that define the part, such as sequence or rate constants.
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Antimony: a modular model definition language
TL;DR: The Antimony language provides a way for a researcher to use simple text statements to create, import, and combine biological models, allowing complex models to be built from simpler models, and provides a special syntax for the creation of modular genetic networks.
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Computational tools for metabolic engineering
Wilbert B. Copeland,Bryan Bartley,Deepak Chandran,Michal Galdzicki,Kyung Hyuk Kim,Sean C. Sleight,Costas D. Maranas,Herbert M. Sauro +7 more
TL;DR: A number of tools can assist in modifying and understanding cellular metabolic networks, including metabolic reconstruction efforts, network visualization, nucleic acid and protein engineering, metabolic flux analysis, pathway prospecting, post-structural network analysis and culture optimization are presented.
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Standard Biological Parts Knowledgebase
TL;DR: The SBPkb is created as a publically accessible Semantic Web resource for synthetic biology, and RDF technology and SPARQL queries are used to retrieve candidate “promoter” parts that are known to be both negatively and positively regulated.