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  1. One of the current research efforts in the area of biomedicine is the representation of knowledge in a structured way so that reasoning can be performed on it. More precisely, in the field of physiotherapy, in...

    Authors: Idoia Berges, David Antón, Jesús Bermúdez, Alfredo Goñi and Arantza Illarramendi
    Citation: Journal of Biomedical Semantics 2016 7:60
  2. The process of discovering new drugs is a lengthy, time-consuming and expensive process. Modern day drug discovery relies heavily on the rapid identification of novel ‘targets’, usually proteins that can be mo...

    Authors: Prudence Mutowo, A. Patrícia Bento, Nathan Dedman, Anna Gaulton, Anne Hersey, Jane Lomax and John P. Overington
    Citation: Journal of Biomedical Semantics 2016 7:59
  3. Research on medical vocabulary expansion from large corpora has primarily been conducted using text written in English or similar languages, due to a limited availability of large biomedical corpora in most la...

    Authors: Magnus Ahltorp, Maria Skeppstedt, Shiho Kitajima, Aron Henriksson, Rafal Rzepka and Kenji Araki
    Citation: Journal of Biomedical Semantics 2016 7:58
  4. The Environment Ontology (ENVO; http://​www.​environmentontol​ogy.​org/​), first described in 2013, is a resource and research target for the semantically c...

    Authors: Pier Luigi Buttigieg, Evangelos Pafilis, Suzanna E. Lewis, Mark P. Schildhauer, Ramona L. Walls and Christopher J. Mungall
    Citation: Journal of Biomedical Semantics 2016 7:57
  5. In biomedical applications where the size and complexity of SNOMED CT become problematic, using a smaller subset that can act as a reasonable substitute is usually preferred. In a special class of use cases—li...

    Authors: Pablo López-García and Stefan Schulz
    Citation: Journal of Biomedical Semantics 2016 7:56
  6. Statistics play a critical role in biological and clinical research. However, most reports of scientific results in the published literature make it difficult for the reader to reproduce the statistical analys...

    Authors: Jie Zheng, Marcelline R. Harris, Anna Maria Masci, Yu Lin, Alfred Hero, Barry Smith and Yongqun He
    Citation: Journal of Biomedical Semantics 2016 7:53
  7. Gene Ontology (GO) terms represent the standard for annotation and representation of molecular functions, biological processes and cellular compartments, but a large gap exists between the way concepts are rep...

    Authors: Christopher S. Funk, K. Bretonnel Cohen, Lawrence E. Hunter and Karin M. Verspoor
    Citation: Journal of Biomedical Semantics 2016 7:52
  8. Ontologies are widely used both in the life sciences and in the management of public and private companies. Typically, the different offices in an organization develop their own models and related ontologies t...

    Authors: Giandomenico Pozza, Stefano Borgo, Alessandro Oltramari, Laura Contalbrigo and Stefano Marangon
    Citation: Journal of Biomedical Semantics 2016 7:51
  9. We developed the Apollo Structured Vocabulary (Apollo-SV)—an OWL2 ontology of phenomena in infectious disease epidemiology and population biology—as part of a project whose goal is to increase the use of epide...

    Authors: William R. Hogan, Michael M. Wagner, Mathias Brochhausen, John Levander, Shawn T. Brown, Nicholas Millett, Jay DePasse and Josh Hanna
    Citation: Journal of Biomedical Semantics 2016 7:50
  10. Reasoning over biomedical ontologies using their OWL semantics has traditionally been a challenging task due to the high theoretical complexity of OWL-based automated reasoning. As a consequence, ontology repo...

    Authors: Luke Slater, Georgios V. Gkoutos, Paul N. Schofield and Robert Hoehndorf
    Citation: Journal of Biomedical Semantics 2016 7:49
  11. The increasing number of open-access ontologies and their key role in several applications such as decision-support systems highlight the importance of their validation. Human expertise is crucial for the vali...

    Authors: Asma Ben Abacha, Julio Cesar Dos Reis, Yassine Mrabet, Cédric Pruski and Marcos Da Silveira
    Citation: Journal of Biomedical Semantics 2016 7:48
  12. The Ontology of Medically Related Social Entities (OMRSE) was initially developed in 2011 to provide a framework for modeling demographic data in Resource Description Framework/Web Ontology Language. It is bui...

    Authors: Amanda Hicks, Josh Hanna, Daniel Welch, Mathias Brochhausen and William R. Hogan
    Citation: Journal of Biomedical Semantics 2016 7:47
  13. Open model repositories provide ready-to-reuse computational models of biological systems. Models within those repositories evolve over time, leading to different model versions. Taken together, the underlying...

    Authors: Martin Scharm, Dagmar Waltemath, Pedro Mendes and Olaf Wolkenhauer
    Citation: Journal of Biomedical Semantics 2016 7:46
  14. Neurodegenerative diseases are incurable and debilitating indications with huge social and economic impact, where much is still to be learnt about the underlying molecular events. Mechanistic disease models co...

    Authors: Anandhi Iyappan, Shweta Bagewadi Kawalia, Tamara Raschka, Martin Hofmann-Apitius and Philipp Senger
    Citation: Journal of Biomedical Semantics 2016 7:45
  15. The Cell Ontology (CL) is an OBO Foundry candidate ontology covering the domain of canonical, natural biological cell types. Since its inception in 2005, the CL has undergone multiple rounds of revision and ex...

    Authors: Alexander D. Diehl, Terrence F. Meehan, Yvonne M. Bradford, Matthew H. Brush, Wasila M. Dahdul, David S. Dougall, Yongqun He, David Osumi-Sutherland, Alan Ruttenberg, Sirarat Sarntivijai, Ceri E. Van Slyke, Nicole A. Vasilevsky, Melissa A. Haendel, Judith A. Blake and Christopher J. Mungall
    Citation: Journal of Biomedical Semantics 2016 7:44
  16. The ShARe/CLEF eHealth challenge lab aims to stimulate development of natural language processing and information retrieval technologies to aid patients in understanding their clinical reports. In clinical tex...

    Authors: Danielle L. Mowery, Brett R. South, Lee Christensen, Jianwei Leng, Laura-Maria Peltonen, Sanna Salanterä, Hanna Suominen, David Martinez, Sumithra Velupillai, Noémie Elhadad, Guergana Savova, Sameer Pradhan and Wendy W. Chapman
    Citation: Journal of Biomedical Semantics 2016 7:43
  17. Clinical Natural Language Processing (NLP) systems require a semantic schema comprised of domain-specific concepts, their lexical variants, and associated modifiers to accurately extract information from clini...

    Authors: William Scuba, Melissa Tharp, Danielle Mowery, Eugene Tseytlin, Yang Liu, Frank A. Drews and Wendy W. Chapman
    Citation: Journal of Biomedical Semantics 2016 7:42
  18. Biological sequences, such as proteins, have been provided with annotations that assign functional information. These functional annotations are associations of proteins (or other biological sequences) with de...

    Authors: Hugo P. Bastos, Lisete Sousa, Luka A. Clarke and Francisco M. Couto
    Citation: Journal of Biomedical Semantics 2016 7:41
  19. Nucleotide and protein sequence feature annotations are essential to understand biology on the genomic, transcriptomic, and proteomic level. Using Semantic Web technologies to query biological annotations, the...

    Authors: Jerven T. Bolleman, Christopher J. Mungall, Francesco Strozzi, Joachim Baran, Michel Dumontier, Raoul J. P. Bonnal, Robert Buels, Robert Hoehndorf, Takatomo Fujisawa, Toshiaki Katayama and Peter J. A. Cock
    Citation: Journal of Biomedical Semantics 2016 7:39
  20. There have been repeated initiatives to produce standard nosologies and terminologies for cutaneous disease, some dedicated to the domain and some part of bigger terminologies such as ICD-10. Recently, formall...

    Authors: Hannah M. Fisher, Robert Hoehndorf, Bruno S. Bazelato, Soheil S. Dadras, Lloyd E. King Jr., Georgios V. Gkoutos, John P. Sundberg and Paul N. Schofield
    Citation: Journal of Biomedical Semantics 2016 7:38
  21. Clinical practice guidelines (CPGs) recommend pharmacologic treatments for clinical conditions, and drug structured product labels (SPLs) summarize approved treatment indications. Both resources are intended t...

    Authors: Tiffany I. Leung and Michel Dumontier
    Citation: Journal of Biomedical Semantics 2016 7:37
  22. High throughput imaging is now available to many groups and it is possible to generate a large quantity of high quality images quickly. Managing this data, consistently annotating it, or making it available to...

    Authors: Solomon Adebayo, Kenneth McLeod, Ilinca Tudose, David Osumi-Sutherland, Tony Burdett, Richard Baldock, Albert Burger and Helen Parkinson
    Citation: Journal of Biomedical Semantics 2016 7:35
  23. Computational comparative analysis of multiple genomes provides valuable opportunities to biomedical research. In particular, orthology analysis can play a central role in comparative genomics; it guides estab...

    Authors: Jesualdo Tomás Fernández-Breis, Hirokazu Chiba, María del Carmen Legaz-García and Ikuo Uchiyama
    Citation: Journal of Biomedical Semantics 2016 7:34
  24. The Proteasix Ontology (PxO) is an ontology that supports the Proteasix tool; an open-source peptide-centric tool that can be used to predict automatically and in a large-scale fashion in silico the proteases inv...

    Authors: Mercedes Arguello Casteleiro, Julie Klein and Robert Stevens
    Citation: Journal of Biomedical Semantics 2016 7:33
  25. Biomedical research usually requires combining large volumes of data from multiple heterogeneous sources, which makes difficult the integrated exploitation of such data. The Semantic Web paradigm offers a natu...

    Authors: María del Carmen Legaz-García, José Antonio Miñarro-Giménez, Marcos Menárguez-Tortosa and Jesualdo Tomás Fernández-Breis
    Citation: Journal of Biomedical Semantics 2016 7:32
  26. The motivation for the BioHub project is to create an Integrated Knowledge Management System (IKMS) that will enable chemists to source ingredients from bio-renewables, rather than from non-sustainable sources...

    Authors: Warren J. Read, George Demetriou, Goran Nenadic, Noel Ruddock, Robert Stevens and Jerry Winter
    Citation: Journal of Biomedical Semantics 2016 7:30
  27. Neuropathy often occurs following drug treatment such as chemotherapy. Severe instances of neuropathy can result in cessation of life-saving chemotherapy treatment.

    Authors: Abra Guo, Rebecca Racz, Junguk Hur, Yu Lin, Zuoshuang Xiang, Lili Zhao, Jordan Rinder, Guoqian Jiang, Qian Zhu and Yongqun He
    Citation: Journal of Biomedical Semantics 2016 7:29
  28. Phenotypic data derived from high content screening is currently annotated using free-text, thus preventing the integration of independent datasets, including those generated in different biological domains, s...

    Authors: Simon Jupp, James Malone, Tony Burdett, Jean-Karim Heriche, Eleanor Williams, Jan Ellenberg, Helen Parkinson and Gabriella Rustici
    Citation: Journal of Biomedical Semantics 2016 7:28
  29. Biomedical event extraction is one of the key tasks in biomedical text mining, supporting various applications such as database curation and hypothesis generation. Several systems, some of which have been appl...

    Authors: Farrokh Mehryary, Suwisa Kaewphan, Kai Hakala and Filip Ginter
    Citation: Journal of Biomedical Semantics 2016 7:27
  30. In the United States, 795,000 people suffer strokes each year; 10–15 % of these strokes can be attributed to stenosis caused by plaque in the carotid artery, a major stroke phenotype risk factor. Studies compa...

    Authors: Danielle L. Mowery, Brian E. Chapman, Mike Conway, Brett R. South, Erin Madden, Salomeh Keyhani and Wendy W. Chapman
    Citation: Journal of Biomedical Semantics 2016 7:26
  31. As a special class of non-coding RNAs (ncRNAs), microRNAs (miRNAs) perform important roles in numerous biological and pathological processes. The realization of miRNA functions depends largely on how miRNAs re...

    Authors: Jingshan Huang, Fernando Gutierrez, Harrison J. Strachan, Dejing Dou, Weili Huang, Barry Smith, Judith A. Blake, Karen Eilbeck, Darren A. Natale, Yu Lin, Bin Wu, Nisansa de Silva, Xiaowei Wang, Zixing Liu, Glen M. Borchert, Ming Tan…
    Citation: Journal of Biomedical Semantics 2016 7:25
  32. The nuclear magnetic resonance (NMR) spectroscopic data for biological macromolecules archived at the BioMagResBank (BMRB) provide a rich resource of biophysical information at atomic resolution. The NMR data ...

    Authors: Masashi Yokochi, Naohiro Kobayashi, Eldon L. Ulrich, Akira R. Kinjo, Takeshi Iwata, Yannis E. Ioannidis, Miron Livny, John L. Markley, Haruki Nakamura, Chojiro Kojima and Toshimichi Fujiwara
    Citation: Journal of Biomedical Semantics 2016 7:16
  33. In recent years, sequencing technologies have enabled the identification of a wide range of non-coding RNAs (ncRNAs). Unfortunately, annotation and integration of ncRNA data has lagged behind their identificat...

    Authors: Jingshan Huang, Karen Eilbeck, Barry Smith, Judith A. Blake, Dejing Dou, Weili Huang, Darren A. Natale, Alan Ruttenberg, Jun Huan, Michael T. Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Harrison J. Strachan, Yongqun He, Shaojie Zhang…
    Citation: Journal of Biomedical Semantics 2016 7:24
  34. The public health initiatives for obesity prevention are increasingly exploiting the advantages of smart technologies that can register various kinds of data related to physical, physiological, and behavioural...

    Authors: Aleksandra Sojic, Walter Terkaj, Giorgia Contini and Marco Sacco
    Citation: Journal of Biomedical Semantics 2016 7:12
  35. Biobanking necessitates extensive integration of data to allow data analysis and specimen sharing. Ontologies have been demonstrated to be a promising approach in fostering better semantic integration of bioba...

    Authors: Mathias Brochhausen, Jie Zheng, David Birtwell, Heather Williams, Anna Maria Masci, Helena Judge Ellis and Christian J. Stoeckert Jr.
    Citation: Journal of Biomedical Semantics 2016 7:23
  36. MicroRNAs are increasingly being appreciated as critical players in human diseases, and questions concerning the role of microRNAs arise in many areas of biomedical research. There are several manually curated...

    Authors: Samir Gupta, Karen E. Ross, Catalina O. Tudor, Cathy H. Wu, Carl J. Schmidt and K. Vijay-Shanker
    Citation: Journal of Biomedical Semantics 2016 7:9
  37. Biomedical text mining may target various kinds of valuable information embedded in the literature, but a critical obstacle to the extension of the mining targets is the cost of manual construction of labeled ...

    Authors: Xu Han, Jung-jae Kim and Chee Keong Kwoh
    Citation: Journal of Biomedical Semantics 2016 7:22
  38. In previous work, we built the Drug Ontology (DrOn) to support comparative effectiveness research use cases. Here, we have updated our representation of ingredients to include both active ingredients (and thei...

    Authors: Josh Hanna, Jiang Bian and William R. Hogan
    Citation: Journal of Biomedical Semantics 2016 7:7
  39. To address the lack of standard terminology to describe extracellular RNA (exRNA) data/metadata, we have launched an inter-community effort to extend the Gene Ontology (GO) with subcellular structure concepts ...

    Authors: Kei-Hoi Cheung, Shivakumar Keerthikumar, Paola Roncaglia, Sai Lakshmi Subramanian, Matthew E. Roth, Monisha Samuel, Sushma Anand, Lahiru Gangoda, Stephen Gould, Roger Alexander, David Galas, Mark B. Gerstein, Andrew F. Hill, Robert R. Kitchen, Jan Lötvall, Tushar Patel…
    Citation: Journal of Biomedical Semantics 2016 7:19
  40. MicrO is an ontology of microbiological terms, including prokaryotic qualities and processes, material entities (such as cell components), chemical entities (such as microbiological culture media and medium in...

    Authors: Carrine E. Blank, Hong Cui, Lisa R. Moore and Ramona L. Walls
    Citation: Journal of Biomedical Semantics 2016 7:18
  41. The Simple Knowledge Organization System (SKOS) was introduced to the wider research community by a 2005 World Wide Web Consortium (W3C) working draft, and further developed and refined in a 2009 W3C recommend...

    Authors: Mike Conway, Artem Khojoyan, Fariba Fana, William Scuba, Melissa Castine, Danielle Mowery, Wendy Chapman and Simon Jupp
    Citation: Journal of Biomedical Semantics 2016 7:5

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