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Institution

Institute for Systems Biology

NonprofitSeattle, Washington, United States
About: Institute for Systems Biology is a nonprofit organization based out in Seattle, Washington, United States. It is known for research contribution in the topics: Population & Proteomics. The organization has 1277 authors who have published 2777 publications receiving 353165 citations.


Papers
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Journal ArticleDOI
TL;DR: The SBW architecture, a selection of current modules, including Jarnac, JDesigner, and SBWMeta-tool, and the close integration of SBW into BioSPICE, which enables both frameworks to share tools and compliment and strengthen each others capabilities are described.
Abstract: Researchers in quantitative systems biology make use of a large number of different software packages for modelling, analysis, visualization, and general data manipulation. In this paper, we describe the Systems Biology Workbench (SBW), a software framework that allows heterogeneous application components--written in diverse programming languages and running on different platforms--to communicate and use each others' capabilities via a fast binary encoded-message system. Our goal was to create a simple, high performance, opensource software infrastructure which is easy to implement and understand. SBW enables applications (potentially running on separate, distributed computers) to communicate via a simple network protocol. The interfaces to the system are encapsulated in client-side libraries that we provide for different programming languages. We describe in this paper the SBW architecture, a selection of current modules, including Jarnac, JDesigner, and SBWMeta-tool, and the close integration of SBW into BioSPICE, which enables both frameworks to share tools and compliment and strengthen each others capabilities.

308 citations

Journal ArticleDOI
12 Dec 2014-Science
TL;DR: An exceptionally slow rate of genome evolution within crocodilians at all levels is observed, consistent with a single underlying cause of a reduced rate of evolutionary change rather than intrinsic differences in base repair machinery.
Abstract: ?? To provide context for the diversification of archosaurs—the group that includes crocodilians, dinosaurs, and birds—we generated draft genomes of three crocodilians: Alligator mississippiensis (the American alligator), Crocodylus porosus (the saltwater crocodile), and Gavialis gangeticus (the Indian gharial). We observed an exceptionally slow rate of genome evolution within crocodilians at all levels, including nucleotide substitutions, indels, transposable element content and movement, gene family evolution, and chromosomal synteny. When placed within the context of related taxa including birds and turtles, this suggests that the common ancestor of all of these taxa also exhibited slow genome evolution and that the comparatively rapid evolution is derived in birds. The data also provided the opportunity to analyze heterozygosity in crocodilians, which indicates a likely reduction in population size for all three taxa through the Pleistocene. Finally, these data combined with newly published bird genomes allowed us to reconstruct the partial genome of the common ancestor of archosaurs, thereby providing a tool to investigate the genetic starting material of crocodilians, birds, and dinosaurs.

306 citations

Journal ArticleDOI
28 Dec 2007-Cell
TL;DR: This study supports the claim that the high degree of connectivity within biological and EF networks will enable the construction of similar models for any organism from relatively modest numbers of experiments.

302 citations

Journal ArticleDOI
Evan Bolyen1, Jai Ram Rideout1, Matthew R. Dillon1, Nicholas A. Bokulich1, Christian C. Abnet2, Gabriel A. Al-Ghalith3, Harriet Alexander4, Harriet Alexander5, Eric J. Alm6, Manimozhiyan Arumugam7, Francesco Asnicar8, Yang Bai9, Jordan E. Bisanz10, Kyle Bittinger11, Asker Daniel Brejnrod7, Colin J. Brislawn12, C. Titus Brown5, Benjamin J. Callahan13, Andrés Mauricio Caraballo-Rodríguez14, John Chase1, Emily K. Cope1, Ricardo Silva14, Christian Diener15, Pieter C. Dorrestein14, Gavin M. Douglas16, Daniel M. Durall17, Claire Duvallet6, Christian F. Edwardson, Madeleine Ernst18, Madeleine Ernst14, Mehrbod Estaki17, Jennifer Fouquier19, Julia M. Gauglitz14, Sean M. Gibbons20, Sean M. Gibbons15, Deanna L. Gibson17, Antonio Gonzalez21, Kestrel Gorlick1, Jiarong Guo22, Benjamin Hillmann3, Susan Holmes23, Hannes Holste21, Curtis Huttenhower24, Curtis Huttenhower25, Gavin A. Huttley26, Stefan Janssen27, Alan K. Jarmusch14, Lingjing Jiang21, Benjamin D. Kaehler28, Benjamin D. Kaehler26, Kyo Bin Kang29, Kyo Bin Kang14, Christopher R. Keefe1, Paul Keim1, Scott T. Kelley30, Dan Knights3, Irina Koester21, Irina Koester14, Tomasz Kosciolek21, Jorden Kreps1, Morgan G. I. Langille16, Joslynn S. Lee31, Ruth E. Ley32, Ruth E. Ley33, Yong-Xin Liu, Erikka Loftfield2, Catherine A. Lozupone19, Massoud Maher21, Clarisse Marotz21, Bryan D Martin20, Daniel McDonald21, Lauren J. McIver25, Lauren J. McIver24, Alexey V. Melnik14, Jessica L. Metcalf34, Sydney C. Morgan17, Jamie Morton21, Ahmad Turan Naimey1, Jose A. Navas-Molina21, Jose A. Navas-Molina35, Louis-Félix Nothias14, Stephanie B. Orchanian, Talima Pearson1, Samuel L. Peoples36, Samuel L. Peoples20, Daniel Petras14, Mary L. Preuss37, Elmar Pruesse19, Lasse Buur Rasmussen7, Adam R. Rivers38, Michael S. Robeson39, Patrick Rosenthal37, Nicola Segata8, Michael Shaffer19, Arron Shiffer1, Rashmi Sinha2, Se Jin Song21, John R. Spear40, Austin D. Swafford, Luke R. Thompson41, Luke R. Thompson42, Pedro J. Torres30, Pauline Trinh20, Anupriya Tripathi21, Anupriya Tripathi14, Peter J. Turnbaugh10, Sabah Ul-Hasan43, Justin J. J. van der Hooft44, Fernando Vargas, Yoshiki Vázquez-Baeza21, Emily Vogtmann2, Max von Hippel45, William A. Walters32, Yunhu Wan2, Mingxun Wang14, Jonathan Warren46, Kyle C. Weber38, Kyle C. Weber47, Charles H. D. Williamson1, Amy D. Willis20, Zhenjiang Zech Xu21, Jesse R. Zaneveld20, Yilong Zhang48, Qiyun Zhu21, Rob Knight21, J. Gregory Caporaso1 
TL;DR: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Abstract: In the version of this article initially published, some reference citations were incorrect. The three references to Jupyter Notebooks should have cited Kluyver et al. instead of Gonzalez et al. The reference to Qiita should have cited Gonzalez et al. instead of Schloss et al. The reference to mothur should have cited Schloss et al. instead of McMurdie & Holmes. The reference to phyloseq should have cited McMurdie & Holmes instead of Huber et al. The reference to Bioconductor should have cited Huber et al. instead of Franzosa et al. And the reference to the biobakery suite should have cited Franzosa et al. instead of Kluyver et al. The errors have been corrected in the HTML and PDF versions of the article.

301 citations

Journal ArticleDOI
TL;DR: In comparing the physiologies of the two halophilic archaea, in addition to the expected extensive similarity, it is discovered several differences in their metabolic strategies and physiological responses such as distinct pathways for arginine breakdown in each halophile.
Abstract: We report the complete sequence of the 4,274,642-bp genome of Haloarcula marismortui, a halophilic archaeal isolate from the Dead Sea. The genome is organized into nine circular replicons of varying G+C compositions ranging from 54% to 62%. Comparison of the genome architectures of Halobacterium sp. NRC-1 and H. marismortui suggests a common ancestor for the two organisms and a genome of significantly reduced size in the former. Both of these halophilic archaea use the same strategy of high surface negative charge of folded proteins as means to circumvent the salting-out phenomenon in a hypersaline cytoplasm. A multitiered annotation approach, including primary sequence similarities, protein family signatures, structure prediction, and a protein function association network, has assigned putative functions for at least 58% of the 4242 predicted proteins, a far larger number than is usually achieved in most newly sequenced microorganisms. Among these assigned functions were genes encoding six opsins, 19 MCP and/or HAMP domain signal transducers, and an unusually large number of environmental response regulators-nearly five times as many as those encoded in Halobacterium sp. NRC-1--suggesting H. marismortui is significantly more physiologically capable of exploiting diverse environments. In comparing the physiologies of the two halophilic archaea, in addition to the expected extensive similarity, we discovered several differences in their metabolic strategies and physiological responses such as distinct pathways for arginine breakdown in each halophile. Finally, as expected from the larger genome, H. marismortui encodes many more functions and seems to have fewer nutritional requirements for survival than does Halobacterium sp. NRC-1.

300 citations


Authors

Showing all 1292 results

NameH-indexPapersCitations
Younan Xia216943175757
Ruedi Aebersold182879141881
David Haussler172488224960
Steven P. Gygi172704129173
Nahum Sonenberg167647104053
Leroy Hood158853128452
Mark H. Ellisman11763755289
Wei Zhang112118993641
John Ralph10944239238
Eric H. Davidson10645447058
James R. Heath10342558548
Alan Aderem9924646682
Anne-Claude Gingras9733640714
Trey Ideker9730672276
Michael H. Gelb9450634714
Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
202260
2021216
2020204
2019188
2018168