Univ. of California, Berkeley, CA (United States). Dept. of Bioengineering; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Environmental Genomics and Systems Biology Division
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Biosciences Division
Argonne National Lab. (ANL), Argonne, IL (United States). Mathematics and Computer Science Division
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Environmental Genomics and Systems Biology Division
Univ. of Chicago, IL (United States). Computer Science Dept. and Computation Inst.; Argonne National Lab. (ANL), Argonne, IL (United States). Computing, Environment, and Life Sciences Directorate
Brookhaven National Lab. (BNL), Upton, NY (United States). Biology Dept.; Univ. of Illinois at Urbana-Champaign, IL (United States). Dept. of Bioengineering and Carl R. Woese Inst. for Genomic Biology
Cold Spring Harbor Lab. (CSHL), Cold Spring Harbor, NY (United States)
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Computational Research Division; Univ. of California, Berkeley, CA (United States). Berkeley Inst. for Data Science and Dept. of Statistics
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
Argonne National Lab. (ANL), Argonne, IL (United States). Computing, Environment, and Life Sciences Directorate
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Computational Research Division
Hope College, Holland, MI (United States). Dept. of Biology
Univ. of California, Berkeley, CA (United States). Dept. of Plant and Microbial Biology
Hope College, Holland, MI (United States). Dept. of Computer Science
Argonne National Lab. (ANL), Argonne, IL (United States). Mathematics and Computer Science Division; Univ. of Chicago, IL (United States). Computation Inst.
Yale Univ., New Haven, CT (United States). Program in Computational Biology and Bioinformatics; New York Univ. (NYU) Shanghai Campus, Shanghai (China)
Yale Univ., New Haven, CT (United States). Program in Computational Biology and Bioinformatics
Brookhaven National Lab. (BNL), Upton, NY (United States). Biology Dept.; Kansas State Univ., Manhattan, KS (United States). Dept. of Plant Pathology
Univ. of California, Davis, CA (United States). Dept. of Plant Pathology and Genome Center; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Joint BioEnergy Inst. (JBEI)
Univ. of California, Davis, CA (United States). Dept. of Plant Pathology and Genome Center; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Joint BioEnergy Inst. (JBEI); Insilicogen. Inc., Yongin (Korea, Republic of)
Univ. of Illinois at Urbana-Champaign, IL (United States). Dept. of Microbiology
Cold Spring Harbor Lab. (CSHL), Cold Spring Harbor, NY (United States); Johns Hopkins Univ., Baltimore, MD (United States). Dept. of Computer Science
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Biosciences Division; Univ. of Tennessee, Knoxville, TN (United States). Dept. of Plant Sciences
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Biosciences Division; Memorial Sloan Kettering Cancer Center (MSKCC), New York City, NY (United States)
Hope College, Holland, MI (United States). Dept. of Mathematics; Dordt College, Sioux Center, IA (United States)
Yale Univ., New Haven, CT (United States). Program in Computational Biology and Bioinformatics; Stony Brook Univ., NY (United States). Dept. of Biomedical Informatics
Brookhaven National Lab. (BNL), Upton, NY (United States). Computer Science and Mathematics and Computational Science Initiative (CSI)
Brookhaven National Lab. (BNL), Upton, NY (United States). Computer Science and Mathematics and Computational Science Initiative (CSI); New Jersey Inst. of Technology, Newark, NJ (United States). Martin Tuchman School of Management
The U.S. Department of Energy Systems Biology Knowledgebase (KBase, http://kbase.us) is an open-source software and data platform designed to tackle the grand challenge of systems biology—predicting and designing biological function at scales ranging from the biomolecular to the ecological. KBase is available for anyone to use, and enables researchers to collaboratively generate, test, compare, and share hypotheses about biological functions; perform large analyses on scalable computing infrastructure; and combine experimental evidence and conclusions to model plant and microbial physiology and community dynamics. The KBase platform has extensible analytical capabilities that currently include (meta)genome assembly, annotation, comparative genomics, transcriptomics, and metabolic modeling; a web-based user interface that supports building, sharing, and publishing reproducible and well-annotated analyses with integrated data; and a software development kit that enables the community to add functionality to the system.
Arkin, Adam P., et al. "KBase: The United States Department of Energy Systems Biology Knowledgebase." Nature Biotechnology, vol. 36, no. 7, Jul. 2018. https://doi.org/10.1038/nbt.4163
Arkin, Adam P., Cottingham, Robert W., Henry, Christopher S., Harris, Nomi L., Stevens, Rick L., Maslov, Sergei, Dehal, Paramvir, Ware, Doreen, Perez, Fernando, Canon, Shane, Sneddon, Michael W., Henderson, Matthew L., Riehl, William J., Murphy-Olson, Dan, Chan, Stephen Y., Kamimura, Roy T., Kumari, Sunita, Drake, Meghan M., ... Yu, Dantong (2018). KBase: The United States Department of Energy Systems Biology Knowledgebase. Nature Biotechnology, 36(7). https://doi.org/10.1038/nbt.4163
Arkin, Adam P., Cottingham, Robert W., Henry, Christopher S., et al., "KBase: The United States Department of Energy Systems Biology Knowledgebase," Nature Biotechnology 36, no. 7 (2018), https://doi.org/10.1038/nbt.4163
@article{osti_1471834,
author = {Arkin, Adam P. and Cottingham, Robert W. and Henry, Christopher S. and Harris, Nomi L. and Stevens, Rick L. and Maslov, Sergei and Dehal, Paramvir and Ware, Doreen and Perez, Fernando and Canon, Shane and others},
title = {KBase: The United States Department of Energy Systems Biology Knowledgebase},
annote = {The U.S. Department of Energy Systems Biology Knowledgebase (KBase, http://kbase.us) is an open-source software and data platform designed to tackle the grand challenge of systems biology—predicting and designing biological function at scales ranging from the biomolecular to the ecological. KBase is available for anyone to use, and enables researchers to collaboratively generate, test, compare, and share hypotheses about biological functions; perform large analyses on scalable computing infrastructure; and combine experimental evidence and conclusions to model plant and microbial physiology and community dynamics. The KBase platform has extensible analytical capabilities that currently include (meta)genome assembly, annotation, comparative genomics, transcriptomics, and metabolic modeling; a web-based user interface that supports building, sharing, and publishing reproducible and well-annotated analyses with integrated data; and a software development kit that enables the community to add functionality to the system.},
doi = {10.1038/nbt.4163},
url = {https://www.osti.gov/biblio/1471834},
journal = {Nature Biotechnology},
issn = {ISSN 1087-0156},
number = {7},
volume = {36},
place = {United States},
publisher = {Springer Nature},
year = {2018},
month = {07}}
Cornell Univ., Ithaca, NY (United States);Department of Energy Systems Biology Knowledgebase; Lawrence Berkeley
National Lab. (LBNL), Berkeley, CA (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)https://doi.org/10.25982/51077.6/1637903
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); The Ohio State University; U.S. Department of Energy Systems Biology Knowledgebase; Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)https://doi.org/10.25982/59912.37/1635154
Gontijo, Júlia; Venturini, Andressa; Da França, Aline
Center for Nuclear Energy in Agriculture, University of São Paulo, Brazil; Princeton Institute for International and Regional Studies, USA.https://doi.org/10.25982/113717.182/1864845
Cornell Univ., Ithaca, NY (United States);Department of Energy Systems Biology Knowledgebase; Lawrence Berkeley
National Lab. (LBNL), Berkeley, CA (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)https://doi.org/10.25982/51077.6/1637903
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); The Ohio State University; U.S. Department of Energy Systems Biology Knowledgebase; Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)https://doi.org/10.25982/59912.37/1635154
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
University of Nebraska-Lincoln, Lincoln, NE (United States)https://doi.org/10.25982/65526.69/1755438
Aguirre Von Wobeser, Eneas; Alfonso-Sánchez, Alexandro; Méndez-Bravo, Alfonso
CONACYT – Centro de Investigación y Desarrollo en Agrobiotecnología Alimentaria, Centro de Investigación y Desarrollo, A.C., Blvd. Sta. Catarina s/n, Col. Santiago Tlapacoya, 42110, San Agustín Tlaxiaca, Hidalgo, Mexicohttps://doi.org/10.25982/69195.32/1647032
U.S. Department of Energy Systems Biology Knowledgebase; Argonne National Laboratory (ANL), Argonne, IL (United States); US Department of Energy Systems Biology Knowledgebasehttps://doi.org/10.25982/95771.20/1828591