Now showing items 9-28 of 34

  • Data hosting infrastructure for primary biodiversity data 

    Goddard, Anthony; Wilson, Nathan; Cryer, Phil; Yamashita, Grant (BioMed Central, 2011-12-15)
    Today, an unprecedented volume of primary biodiversity data are being generated worldwide, yet significant amounts of these data have been and will continue to be lost after the conclusion of the projects tasked with ...
  • Data issues in the life sciences 

    Thessen, Anne E.; Patterson, David J. (Pensoft Publishers, 2011-11-28)
    We review technical and sociological issues facing the Life Sciences as they transform into more data-centric disciplines - the “Big New Biology”. Three major challenges are: 1) lack of comprehensive standards; 2) lack of ...
  • The Encyclopedia of Life, Biodiversity Heritage Library, biodiversity informatics and beyond Web 2.0 

    Norton, Cathy N. (Great Cities Initiative of the University of Illinois at Chicago Library, 2008-08-04)
    E.O. Wilson, the noted entomologist at Harvard, "wished" for an authoritative encyclopedia of life that would be freely available on the worldwide web for the entire world. On 9 May 2007, The Encyclopedia of Life (EOL) was ...
  • Envisioning the future of science libraries at academic research institutions : a discussion 

    Feltes, Carol; Gibson, Donna S.; Miller, Holly; Norton, Cathy N.; Pollock, Ludmila (2012-12-20)
    A group of librarians, other information professionals, scientists and research administrators met to discuss the challenges that research libraries are currently facing. After the meeting a survey was conducted to obtain ...
  • Exploring historical trends using taxonomic name metadata 

    Sarkar, Indra Neil; Schenk, Ryan; Norton, Cathy N. (BioMed Central, 2008-05-13)
    Authority and year information have been attached to taxonomic names since Linnaean times. The systematic structure of taxonomic nomenclature facilitates the ability to develop tools that can be used to explore historical ...
  • GenBank and PubMed : how connected are they? 

    Miller, Holly; Norton, Cathy N.; Sarkar, Indra Neil (BioMed Central, 2009-06-09)
    GenBank(R) is a public repository of all publicly available molecular sequence data from a range of sources. In addition to relevant metadata (e.g., sequence description, source organism and taxonomy), publication information ...
  • Grand challenges in biodiversity informatics 

    Sarkar, Indra Neil (2007-01)
    The exponentially growing array of biological data has necessitated the development of a new information management domain, biodiversity informatics. It is one of the newest members of the ‘informatics’ sub-disciplines, ...
  • Identity of epibiotic bacteria on symbiontid euglenozoans in O2-depleted marine sediments : evidence for symbiont and host co-evolution 

    Edgcomb, Virginia P.; Breglia, S. A.; Yubuki, Naoji; Beaudoin, David J.; Patterson, David J.; Leander, Brian S.; Bernhard, Joan M. (2010-06)
    A distinct subgroup of euglenozoans, referred to as the “Symbiontida,” has been described from oxygen-depleted and sulfidic marine environments. By definition, all members of this group carry epibionts that are intimately ...
  • Intra- and interspecies differences in growth and toxicity of Pseudo-nitzschia while using different nitrogen sources 

    Thessen, Anne E.; Bowers, H. A.; Stoecker, Diane K. (2009-01)
    Clonal cultures of plankton are widely used in laboratory experiments and have contributed greatly to knowledge of microbial systems. However, many physiological characteristics vary drastically between strains of the ...
  • LigerCat : using “MeSH clouds” from journal, article, or gene citations to facilitate the identification of relevant biomedical literature 

    Sarkar, Indra Neil; Schenk, Ryan; Miller, Holly; Norton, Cathy N. (American Medical Informatics Association, 2009-11-14)
    The identification of relevant literature from within large collections is often a challenging endeavor. In the context of indexed resources, such as MEDLINE, it has been shown that keywords from a controlled vocabulary ...
  • Mapping the biosphere : exploring species to understand the origin, organization and sustainability of biodiversity 

    Wheeler, Q. D.; Knapp, Sandra; Stevenson, D. W.; Stevenson, J.; Blum, Stan D.; Boom, B.. M.; Borisy, Gary G.; Buizer, J. L.; De Carvalho, M. R.; Cibrian, A.; Donoghue, M. J.; Doyle, V.; Gerson, E. M.; Graham, C. H.; Graves, P.; Graves, Sara J.; Guralnick, Robert P.; Hamilton, A. L.; Hanken, J.; Law, W.; Lipscomb, D. L.; Lovejoy, T. E.; Miller, Holly; Miller, J. S.; Naeem, Shahid; Novacek, M. J.; Page, L. M.; Platnick, N. I.; Porter-Morgan, H.; Raven, P. H.; Solis, M. A.; Valdecasas, A. G.; Van Der Leeuw, S.; Vasco, A.; Vermeulen, N.; Vogel, J.; Walls, R. L.; Wilson, E. O.; Woolley, J. B. (Taylor & Francis, 2012-03-27)
    The time is ripe for a comprehensive mission to explore and document Earth's species. This calls for a campaign to educate and inspire the next generation of professional and citizen species explorers, investments in ...
  • A model for Bioinformatics training : the Marine Biological Laboratory 

    Yamashita, Grant; Miller, Holly; Goddard, Anthony; Norton, Cathy N. (2010-08-04)
    Many areas of science such as biology, medicine, and oceanography are becoming increasingly data-rich and most programs that train scientists do not address informatics techniques or technologies that are necessary for ...
  • Names are key to the big new biology 

    Patterson, David J.; Cooper, J.; Kirk, Paul M.; Pyle, R. L.; Remsen, David P. (2010-09-20)
    Those who seek answers to big, broad questions about biology, especially questions emphasizing the organism (taxonomy, evolution, ecology), will soon benefit from an emerging names-based infrastructure. It will draw on ...
  • NetiNeti : discovery of scientific names from text using machine learning methods 

    Akella, Lakshmi Manohar; Norton, Cathy N.; Miller, Holly (BioMed Central, 2012-08-22)
    A scientific name for an organism can be associated with almost all biological data. Name identification is an important step in many text mining tasks aiming to extract useful information from biological, biomedical and ...
  • NetiNeti : Discovery of Scientific Names from Text Using Machine Learning Methods Figure 1 

    Akella, Lakshmi Manohar (2011-12-30)
    A scientific name for an organism can be associated with almost all biological data. Name identification is an important step in many text mining tasks aiming to extract useful information from biological, biomedical and ...
  • NetiNeti : Discovery of Scientific Names from Text Using Machine Learning Methods Figure 2 

    Akella, Lakshmi Manohar (2011-12-30)
    A scientific name for an organism can be associated with almost all biological data. Name identification is an important step in many text mining tasks aiming to extract useful information from biological, biomedical and ...
  • NetiNeti : Discovery of Scientific Names from Text Using Machine Learning Methods Figure 3 

    Akella, Lakshmi Manohar (2012-08-17)
    A scientific name for an organism can be associated with almost all biological data. Name identification is an important step in many text mining tasks aiming to extract useful information from biological, biomedical and ...
  • NetiNeti : Discovery of Scientific Names from Text Using Machine Learning Methods Table 1 

    Akella, Lakshmi Manohar (2012-08-17)
    A scientific name for an organism can be associated with almost all biological data. Name identification is an important step in many text mining tasks aiming to extract useful information from biological, biomedical and ...
  • NetiNeti : Discovery of Scientific Names from Text Using Machine Learning Methods Table 2 

    Akella, Lakshmi Manohar (2012-01-27)
    A scientific name for an organism can be associated with almost all biological data. Name identification is an important step in many text mining tasks aiming to extract useful information from biological, biomedical and ...
  • Pseudo-nitzschia physiological ecology, phylogeny, toxicity, monitoring and impacts on ecosystem health 

    Trainer, Vera L.; Bates, Stephen S.; Lundholm, Nina; Thessen, Anne E.; Cochlan, William P.; Adams, Nicolaus G.; Trick, Charles G. (Elsevier B.V., 2011-11-03)
    Over the last decade, our understanding of the environmental controls on Pseudo-nitzschia blooms and domoic acid (DA) production has matured. Pseudo-nitzschia have been found along most of the world's coastlines, while the ...