Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Elizabeth M. Glass"'
Autor:
Andreas Wilke, Jared Bischof, Travis Harrison, Tom Brettin, Mark D'Souza, Wolfgang Gerlach, Hunter Matthews, Tobias Paczian, Jared Wilkening, Elizabeth M Glass, Narayan Desai, Folker Meyer
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 1, p e1004008 (2015)
Metagenomic sequencing has produced significant amounts of data in recent years. For example, as of summer 2013, MG-RAST has been used to annotate over 110,000 data sets totaling over 43 Terabases. With metagenomic sequencing finding even wider adopt
Externí odkaz:
https://doaj.org/article/46e0a4e84f954269980eda5df0a06231
Autor:
Andrew S Houppert, Elizabeth Kwiatkowski, Elizabeth M Glass, Kristin L DeBord, Peter M Merritt, Olaf Schneewind, Melanie M Marketon
Publikováno v:
PLoS ONE, Vol 7, Iss 3, p e34039 (2012)
Pathogenic Yersinia species possess a type III secretion system, which is required for the delivery of effector Yop proteins into target cells during infection. Genes encoding the type III secretion machinery, its substrates, and several regulatory p
Externí odkaz:
https://doaj.org/article/4c7b872093b0407b8abd412bafa22823
Autor:
Shinjae Yoo, Matthew L. Henderson, Sarah S. Poon, Pavel S. Novichkov, Mark Mills, Roy T. Kamimura, Adam P. Arkin, Rick Stevens, Holly L. Haun, Shinnosuke Kondo, Meghan M Drake, Aaron A. Best, José P. Faria, Fernando Perez, Matthew DeJongh, Gang Fang, Thomas Brettin, Sergei Maslov, Janaka N. Edirisinghe, Folker Meyer, Jer Ming Chia, Scott Devoid, Doreen Ware, Steven E. Brenner, Paul M. Frybarger, Miriam Land, Dan Gunter, Fei He, John-Marc Chandonia, Hyunseung Yoo, Marcin P. Joachimiak, Dantong Yu, Christopher S. Henry, Mark Gerstein, Christopher Bun, Michael W. Sneddon, Samuel M. D. Seaver, Rashmi Jain, Stephen Y. Chan, Robert W. Cottingham, James J. Davis, Annette Greiner, Inna Dubchak, Vivek Kumar, Priya Ranjan, Daifeng Wang, Neal Conrad, James Thomason, Fangfang Xia, Maulik Shukla, Gavin Price, Nathan L. Tintle, Gary J. Olsen, Shiran Pasternak, Shane Canon, Roman A. Sutormin, William J. Riehl, Nomi L. Harris, Dan Murphy-Olson, Jason K. Baumohl, Wolfgang Gerlach, Benjamin H. Allen, Pamela C. Ronald, Michael C. Schatz, Mustafa H Syed, Brian H. Davison, Taeyun Oh, Dylan Chivian, Elizabeth M. Glass, R. L. Colasanti, Erik Pearson, David J. Weston, Sunita Kumari, Kevin P. Keegan, Emily M. Dietrich, Robert Olson, Srividya Ramakrishnan, James Gurtowski, Benjamin P. Bowen, Paramvir S. Dehal, Bruce Parrello
Publikováno v:
Nature biotechnology, vol 36, iss 7
Nature Biotechnology
Arkin, AP; Cottingham, RW; Henry, CS; Harris, NL; Stevens, RL; Maslov, S; et al.(2018). KBase: The United States department of energy systems biology knowledgebase. Nature Biotechnology, 36(7), 566-569. doi: 10.1038/nbt.4163. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/7p39r37f
Nature Biotechnology
Arkin, AP; Cottingham, RW; Henry, CS; Harris, NL; Stevens, RL; Maslov, S; et al.(2018). KBase: The United States department of energy systems biology knowledgebase. Nature Biotechnology, 36(7), 566-569. doi: 10.1038/nbt.4163. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/7p39r37f
Author(s): 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-Ol
Autor:
Saurabh Bagchi, William L. Trimble, Elizabeth M. Glass, Folker Meyer, Jared M. Bischof, Andreas Wilke, Travis Harrison, Ananth Grama, Wolfgang Gerlach, Somali Chaterji, Kevin P. Keegan, Tobias Paczian
Publikováno v:
Nucleic Acids Research
MG-RAST (http://metagenomics.anl.gov) is an open-submission data portal for processing, analyzing, sharing and disseminating metagenomic datasets. The system currently hosts over 200,000 datasets and is continuously updated. The volume of submissions
Autor:
Jack A. Gilbert, Edward J. O'Loughlin, William L. Trimble, Kelly A. Skinner, Dionysios A. Antonopoulos, Andreas Wilke, Tobias Paczian, Kim M. Handley, Kenneth H. Williams, Kenneth M. Kemner, Narayan Desai, Folker Meyer, Daniela Bartels, Elizabeth M. Glass
Publikováno v:
Environmental Microbiology. 16:3443-3462
Summary We reconstructed the complete 2.4 Mb-long genome of a previously uncultivated epsilonproteobacterium, Candidatus Sulfuricurvum sp. RIFRC-1, via assembly of short-read shotgun metagenomic data using a complexity reduction approach. Genome-base
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 1399
Approaches in molecular biology, particularly those that deal with high-throughput sequencing of entire microbial communities (the field of metagenomics), are rapidly advancing our understanding of the composition and functional content of microbial
Publikováno v:
Field Guidelines for Genetic Experimental Designs in High-Throughput Sequencing ISBN: 9783319313481
Metagenomics, shotgun metagenomics in particular, is a field that has disproportionately benefited from advances in high-throughput sequencing technologies. This chapter discusses the choice of sample number, depth, and sequencing technology, the she
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a5468ec36149f65adc9677f52dd6f85
https://doi.org/10.1007/978-3-319-31350-4_12
https://doi.org/10.1007/978-3-319-31350-4_12
Publikováno v:
Microbial Environmental Genomics (MEG) ISBN: 9781493933679
Approaches in molecular biology, particularly those that deal with high-throughput sequencing of entire microbial communities (the field of metagenomics), are rapidly advancing our understanding of the composition and functional content of microbial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b5baecf714ecebf5b47a1b6f7463a60
https://doi.org/10.1007/978-1-4939-3369-3_13
https://doi.org/10.1007/978-1-4939-3369-3_13
Autor:
Seaver Smd, Erik Pearson, José P. Faria, Gary J. Olsen, Olson B, Sarah S. Poon, Jason K. Baumohl, Christopher Bun, Emily M. Dietrich, Pamela C. Ronald, Nathan L. Tintle, Fei He, Paramvir S. Dehal, Marcin P. Joachimiak, Benjamin H. Allen, Thomas Brettin, Benjamin P. Bowen, Folker Meyer, Steven E. Brenner, Holly L. Haun, Shinjae Yoo, Fernando Perez, Matthew DeJongh, R. L. Colasanti, Maulik Shukla, Wolfgang Gerlach, Kevin P. Keegan, Jer Ming Chia, Michael C. Schatz, Taeyun Oh, Dylan Chivian, James Thomason, Sergei Maslov, Roman A. Sutormin, John-Marc Chandonia, Nomi L. Harris, Dan Murphy-Olson, James J. Davis, Hyunseung Yoo, Matthew L. Henderson, Roy T. Kamimura, Shane Canon, Michael W. Sneddon, Christopher S. Henry, Stephen Y. Chan, Pavel S. Novichkov, Inna Dubchak, Mark Mills, Adam P. Arkin, Neal Conrad, Fangfang Xia, Gang Fang, Scott Devoid, Janaka N. Edirisinghe, Brian H. Davison, Bruce Parrello, Shinnosuke Kondo, William J. Riehl, Paul M. Frybarger, Doreen Ware, Miriam Land, Dan Gunter, Rashmi Jain, Rick Stevens, Meghan M Drake, Gavin Price, Shiran Pasternak, Mustafa H Syed, Mark Gerstein, David J. Weston, Sunita Kumari, Kumar, Robert W. Cottingham, Elizabeth M. Glass, James Gurtowski, Aaron A. Best, Daifeng Wang, Srividya Ramakrishnan, Priya Ranjan
The U.S. Department of Energy Systems Biology Knowledgebase (KBase) is an open-source software and data platform designed to meet the grand challenge of systems biology — predicting and designing biological function from the biomolecular (small sca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a42f71091420946234b6e35b826e316f
https://escholarship.org/uc/item/4058b7v5
https://escholarship.org/uc/item/4058b7v5
Autor:
Narayan Desai, Jack A. Gilbert, Terry Disz, Matthew DeJongh, Scott Devoid, Fangfang Xia, Daniela Bartels, Elizabeth M. Glass, Jared Wilkening, Folker Meyer, Peter E. Larsen, Veronika Vonstein, Christopher S. Henry, Aaron A. Best, Ross Overbeek, Andreas Wilke, Robert Olson, Mark D'Souza, Kevin P. Keegan, Rick Stevens, Robert Edwards
Publikováno v:
Biochimica et Biophysica Acta (BBA) - General Subjects. 1810:967-977
Background The development of next generation sequencing technology is rapidly changing the face of the genome annotation and analysis field. One of the primary uses for genome sequence data is to improve our understanding and prediction of phenotype