Keith Suderman

ORCID: 0000-0003-0502-4557
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About
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Research Areas
  • Natural Language Processing Techniques
  • Semantic Web and Ontologies
  • Scientific Computing and Data Management
  • Distributed and Parallel Computing Systems
  • Topic Modeling
  • Biomedical Text Mining and Ontologies
  • Genomics and Phylogenetic Studies
  • Service-Oriented Architecture and Web Services
  • Digital Humanities and Scholarship
  • Lexicography and Language Studies
  • Computational Physics and Python Applications
  • Research Data Management Practices
  • Translation Studies and Practices
  • Web Data Mining and Analysis
  • Advanced Computational Techniques and Applications
  • Simulation Techniques and Applications
  • Software Engineering Research
  • Advanced Data Storage Technologies
  • Text Readability and Simplification
  • IoT and GPS-based Vehicle Safety Systems
  • Marine Biology and Ecology Research
  • Advanced Text Analysis Techniques
  • Gene expression and cancer classification
  • Library Science and Information Systems
  • Transport Systems and Technology

Johns Hopkins University
2024

Vassar College
2007-2020

Brandeis University
2017

Technical University of Darmstadt
2017

University of Oslo
2017

University of Manitoba
2000

Enis Afgan Anton Nekrutenko Björn Grüning Daniel Blankenberg Jeremy Goecks and 95 more Michael C. Schatz Alexander Ostrovsky Alexandru Mahmoud Andrew Lonie Anna Syme Anne Fouilloux Anthony Bretaudeau Anton Nekrutenko Anup Kumar Arthur C. Eschenlauer Assunta D DeSanto Aysam Guerler Beatriz Serrano‐Solano Bérénice Batut Björn Grüning Bradley W. Langhorst Bridget Carr Bryan Raubenolt Cameron Hyde Catherine J. Bromhead Christopher B. Barnett Coline Royaux Cristóbal Gallardo Daniel Blankenberg Daniel Fornika Dannon Baker Dave Bouvier Dave Clements David Anderson de Lima Morais David López Tabernero Delphine Larivière Engy Nasr Enis Afgan Federico Zambelli Florian Heyl Fotis Psomopoulos Frederik Coppens Gareth Price Gianmauro Cuccuru Gildas Le Corguillé Greg Von Kuster Gulsum Gudukbay Akbulut Helena Rasche Hans-Rudolf Hotz Ignacio Eguinoa Igor V. Makunin Isuru Ranawaka James Taylor Jayadev Joshi Jennifer Hillman‐Jackson Jeremy Goecks John Chilton Kaivan Kamali Keith Suderman Krzysztof Poterlowicz Le Bras Yvan Lucille Lopez‐Delisle Luke Sargent Madeline E. Bassetti M. A. Tangaro Marius van den Beek Martin Čech Matthias Bernt Matthias Fahrner Mehmet Tekman Melanie Christine Föll Michael C. Schatz Michael R. Crusoe Miguel Roncoroni Natalie Kucher Nate Coraor Nicholas Stoler Nick Rhodes Nicola Soranzo Niko Pinter Nuwan Goonasekera Pablo Moreno Pavankumar Videm Mélanie Pétéra Pietro Mandreoli Pratik Jagtap Qiang Gu Ralf J. M. Weber Ross Lazarus Ruben H.P. Vorderman Saskia Hiltemann Sergey Golitsynskiy Shilpa Garg Simon Bray Simon Gladman Simone Leo Subina Mehta Timothy J. Griffin Vahid Jalili Yves Vandenbrouck

Galaxy is a mature, browser accessible workbench for scientific computing. It enables scientists to share, analyze and visualize their own data, with minimal technical impediments. A thriving global community continues use, maintain contribute the project, support from multiple national infrastructure providers that enable freely analysis training services. The Training Network supports free, self-directed, virtual >230 integrated tutorials. Project engagement metrics have continued grow...

10.1093/nar/gkac247 article EN cc-by Nucleic Acids Research 2022-04-14
Michael C. Schatz Anthony Philippakis Enis Afgan Eric Banks Vincent J. Carey and 95 more Robert J. Carroll Alessandro Culotti Kyle Ellrott Jeremy Goecks Robert L. Grossman Ira M. Hall Kasper D. Hansen Jonathan Lawson Jeffrey T. Leek Anne O’Donnell‐Luria Stephen Mosher Martin Morgan Anton Nekrutenko Brian D. O’Connor Kevin Osborn Benedict Paten Candace Patterson Frederick J. Tan Casey Overby Taylor Jennifer Vessio Levi Waldron Ting Wang Kristin Wuichet Alexander Baumann Andrew Rula Anton Kovalsy C. Bernard Derek Caetano-Anollés Géraldine A. Van der Auwera Justin Canas K. Ümit Yüksel Kate Herman Megan Taylor Marianie Simeon Michaël Baumann Qi Wang Robert Title Ruchi Munshi Sushma Chaluvadi Valerie B Reeves William Disman Salin Thomas Allie Hajian Elizabeth Kiernan Namrata Gupta Trish Vosburg Ludwig Geistlinger Marcel Ramos Sehyun Oh Dave Rogers Frances McDade Mim Hastie Nitesh Turaga Alexander Ostrovsky Alexandru Mahmoud Dannon Baker Dave Clements Katherine E.L. Cox Keith Suderman Nataliya Kucher Sergey Golitsynskiy Samantha Zarate Sarah J. Wheelan Kai Kammers Ana Stevens Carolyn M. Hutter Christopher Wellington Elena M. Ghanaim Ken Wiley Shurjo K. Sen Valentina Di Francesco Deni s Yuen Brian Walsh Luke Sargent Vahid Jalili John Chilton Lori Shepherd Benjamin J. Stubbs Ash O’Farrell Benton A. Vizzier Charles Overbeck Charles Reid David Steinberg Elizabeth A. Sheets Julian Lucas Lon Blauvelt Louise Cabansay Noah Warren Brian Hannafious Tim Harris Radhika Reddy Eric S. Torstenson M. Katie Banasiewicz Haley Abel Jason Walker

10.1016/j.xgen.2021.100085 article EN Cell Genomics 2022-01-01

In this paper we describe the Graph Annotation Format (GrAF) and show how it is used represent not only independent linguistic annotations, but also sets of merged annotations as a single graph. To demonstrate this, have automatically transduced several different Wall Street Journal corpus into GrAF can then be merged, analyzed, visualized using standard graph algorithms tools. We discuss how, representation, allows for application well-established traversal analysis to produce information...

10.3115/1642059.1642060 article EN 2007-01-01

This paper explores interoperability for data represented using the Graph Annotation Framework (GrAF) (Ide and Suderman, 2007) formats utilized by two general-purpose annotation systems: General Architecture Text Engineering (GATE) (Cunningham, 2002) Unstructured Information Management (UIMA). GrAF is intended to serve as a "pivot" enable among different formats, both GATE UIMA are at least implicitly designed with an eye toward other tools. We describe steps required perform round-trip...

10.3115/1698381.1698385 article EN 2009-01-01

The Galaxy application is a popular open-source framework for data intensive sciences, counting thousands of monthly users across more than 100 public servers. To support growing number and greater variety use cases, the complexity production-grade installation has also grown, requiring administration effort. There need rapid reproducible deployment method that can be maintained at high-availability with minimal maintenance.

10.1093/bioinformatics/btae486 article EN cc-by Bioinformatics 2024-08-01

The American National Corpus and its annotations are represented in a stand-off XML format compliant with the specifications of ISO TC37 SC4 WG1's Linguistic Annotation Framework. Because few systems that enable search access corpus currently support markup, project has developed SAX like parser generates ANC data in-line, variety output formats.

10.3115/1621034.1621052 article EN 2006-01-01

In this paper we investigate cross-platform interoperability for natural language processing (NLP) and, in particular, annotation of textual resources, with an eye toward identifying the design elements models and processes that are particularly problematic for, or amenable to, enabling seamless communication across different platforms. The study is conducted context a specific methodology, namely machine-assisted interactive (also known as human-in-the-loop annotation). This methodology...

10.5808/gi.2019.17.2.e19 article EN Genomics & Informatics 2019-06-28

For decades, most self-respecting linguistic engineering initiatives have designed and implemented custom representations for various layers of, example, morphological, syntactic, semantic analysis. Despite occasional efforts at harmonization or even standardization, our field today is blessed with a multitude of ways encoding exchanging annotations these types, both the levels ‘abstract syntax’, naming choices, course file formats. To large degree, it possible to work within across design...

10.18653/v1/w17-0808 article EN cc-by 2017-01-01

In a recent project, the Language Application Grid was augmented to support mining of scientific publications. The results that ef- fort have now been repurposed focus on Covid-19 literature, including modification LAPPS "AskMe" query and retrieval engine. We describe AskMe system discuss its functionality as compared other engines available search covid-related

10.18653/v1/2020.nlpcovid19-2.28 article EN cc-by 2020-01-01
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