Synthetic Biology Open Language (SBOL) Version 1.1.0

In this BioBricks Foundation Request for Comments (BBF RFC), we specify the Synthetic Biology Open Language (SBOL) Version 1.1.0 to enable the electronic exchange of information describing DNA components used in synthetic biology. We define: 1. the vocabulary, a set of preferred terms and 2. the core data model, a common computational representation

Principles of genetic circuit design

Cells navigate environments, communicate and build complex patterns by initiating gene expression in response to specific signals. Engineers seek to harness this capability to program cells to perform tasks or create chemicals and materials that match the complexity seen in nature. This Review describes new tools that aid the construction of genetic circuits. Circuit dynamics can be influenced by the choice of regulators and changed with expression 'tuning knobs'. We collate the failure modes encountered when assembling circuits, quantify their impact on performance and review mitigation efforts. Finally, we discuss the constraints that arise from circuits having to operate within a living cell. Collectively, better tools, well-characterized parts and a comprehensive understanding of how to compose circuits are leading to a breakthrough in the ability to program living cells for advanced applications, from living therapeutics to the atomic manufacturing of functional materials.National Institute of General Medical Sciences (U.S.) (Grant P50 GM098792)National Institute of General Medical Sciences (U.S.) (Grant R01 GM095765)National Science Foundation (U.S.). Synthetic Biology Engineering Research Center (EEC0540879)Life Technologies, Inc. (A114510)National Science Foundation (U.S.). Graduate Research FellowshipUnited States. Office of Naval Research. Multidisciplinary University Research Initiative (Grant 4500000552

Editorial

URL: http://www-spht.cea.fr/articles/s01/17

Data Supporting the Characterization of Aeolian Material Deposited in the Reynolds Creek Experimental Watershed

Our study used mass flux, particle size distribution and geochemistry to analyze variations in aeolian deposition following the Soda Fire of August 2015 in southwest Idaho.The data presented characterizes the aeolian material deposited in dust traps at a height of 2 meters above the soil surface. Mass data were collected using a microbalance, particle size distributions were analyzed using laser diffractometry, and geochemistry was analyzed using inductively coupled plasma mass spectrometry

Lehrerweiterbildung Informatik. Kurs 1: Einfuehrung in die strukturierte Problemloesung mit Pascal. T. 1 Einfuehrung, Glossar und Aufgaben zum Wochenlehrgang

Copy held by FIZ Karlsruhe / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekSIGLE2. rev. ed.DEGerman