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Volume 10 Supplement 2

Selected Proceedings of the First Summit on Translational Bioinformatics 2008


Edited by Atul J Butte, Indra Neil Sarkar, Marco Ramoni, Yves Lussier and Olga Troyanskaya

The First Summit on Translational Bioinformatics 2008. Go to conference site.

San Francisco, CA, USA10-12 March 2008

  1. The volume of publicly available genomic scale data is increasing. Genomic datasets in public repositories are annotated with free-text fields describing the pathological state of the studied sample. These ann...

    Authors: Nigam H Shah, Clement Jonquet, Annie P Chiang, Atul J Butte, Rong Chen and Mark A Musen
    Citation: BMC Bioinformatics 2009 10(Suppl 2):S1
  2. Semantic Web technologies offer a promising framework for integration of disparate biomedical data. In this paper we present the semantic information integration platform under development at the Center for Cl...

    Authors: Parsa Mirhaji, Min Zhu, Mattew Vagnoni, Elmer V Bernstam, Jiajie Zhang and Jack W Smith
    Citation: BMC Bioinformatics 2009 10(Suppl 2):S2
  3. A critical challenge in neuroscience is organizing, managing, and accessing the explosion in neuroscientific knowledge, particularly anatomic knowledge. We believe that explicit knowledge-based approaches to m...

    Authors: Daniel L Rubin, Ion-Florin Talos, Michael Halle, Mark A Musen and Ron Kikinis
    Citation: BMC Bioinformatics 2009 10(Suppl 2):S3
  4. This paper proposes that interoperability across biomedical databases can be improved by utilizing a repository of Common Data Elements (CDEs), UML model class-attributes and simple lexical algorithms to facil...

    Authors: Isaac Kunz, Ming-Chin Lin and Lewis Frey
    Citation: BMC Bioinformatics 2009 10(Suppl 2):S4
  5. Summarization of gene information in the literature has the potential to help genomics researchers translate basic research into clinical benefits. Gene expression microarrays have been used to study biomarker...

    Authors: Jianji Yang, Aaron Cohen and William Hersh
    Citation: BMC Bioinformatics 2009 10(Suppl 2):S5
  6. Bayesian networks are powerful instruments to learn genetic models from association studies data. They are able to derive the existing correlation between genetic markers and phenotypic traits and, at the same...

    Authors: Alberto Malovini, Angelo Nuzzo, Fulvia Ferrazzi, Annibale A Puca and Riccardo Bellazzi
    Citation: BMC Bioinformatics 2009 10(Suppl 2):S7
  7. The evolving complexity of genome-scale experiments has increasingly centralized the role of a highly computable, accurate, and comprehensive resource spanning multiple biological scales and viewpoints. To pro...

    Authors: Lee T Sam, Eneida A Mendonça, Jianrong Li, Judith Blake, Carol Friedman and Yves A Lussier
    Citation: BMC Bioinformatics 2009 10(Suppl 2):S8
  8. BioProspecting is a novel approach that enabled our team to mine data related to genetic markers from the New England Journal of Medicine (NEJM) utilizing SNOMED CT and the Human Gene Onotology (HUGO). The Bio...

    Authors: Peter L Elkin, Mark S Tuttle, Brett E Trusko and Steven H Brown
    Citation: BMC Bioinformatics 2009 10(Suppl 2):S9
  9. This paper proposes a novel framework for bioinformatics assisted biosurveillance and early warning to address the inefficiencies in traditional surveillance as well as the need for more timely and comprehensi...

    Authors: Vitali Sintchenko, Blanca Gallego, Grace Chung and Enrico Coiera
    Citation: BMC Bioinformatics 2009 10(Suppl 2):S10
  10. In response to the frequently overwhelming output of high-throughput microarray experiments, we propose a methodology to facilitate interpretation of biological data in the context of existing knowledge. Throu...

    Authors: Hannah J Tipney, Sonia M Leach, Weiguo Feng, Richard Spritz, Trevor Williams and Lawrence Hunter
    Citation: BMC Bioinformatics 2009 10(Suppl 2):S12

Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 2.9
    5-year Journal Impact Factor: 3.6
    Source Normalized Impact per Paper (SNIP): 0.821
    SCImago Journal Rank (SJR): 1.005

    Speed 2023
    Submission to first editorial decision (median days): 12
    Submission to acceptance (median days): 146

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