• DocumentCode
    3311161
  • Title

    Decision making biases in using sequence logo visualization

  • Author

    Lee, Nung Kion ; Oon, Yin Bee

  • Author_Institution
    Fac. of Cognitive Sci. & Human Dev., Univ. Malaysia Sarawak, Kota Samarahan, Malaysia
  • fYear
    2012
  • fDate
    9-12 July 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Sequence Logo is a visualization method for displaying conservations characteristics of a sequence (DNA, RNA, proteins) motif profile obtained from either wet-lab or computational analysis. Usage of visualization in decision making carries some elements of subjectivity. In addition, people´s decisions are often biased in favor of their proposed hypotheses. The objectives of this paper were to examine the biases in using sequence logo as an evaluation metric for transcription factor analysis and identify some critical weaknesses in sequence logo for possible future improvements. Document analysis and subject matter expert interviews method were used for information gathering. We found that sequence logo has been frequently misused to support the results obtained from computational transcription factor analysis. In addition, we suggest that current sequence logo can be improved in several aspects to support various users´ needs and minimize elements of subjectivity in decision making.
  • Keywords
    DNA; RNA; bioinformatics; data visualisation; decision making; molecular biophysics; proteins; sequences; DNA sequence; RNA sequence; computational analysis; computational transcription factor analysis; decision making biases; document analysis; evaluation metric; information gathering; protein sequence; sequence logo visualization; subject matter expert interviews method; wet-lab analysis; Bioinformatics; DNA; Decision making; Proteins; RNA; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network of Ergonomics Societies Conference (SEANES), 2012 Southeast Asian
  • Conference_Location
    Langkawi, Kedah
  • Print_ISBN
    978-1-4673-1732-0
  • Type

    conf

  • DOI
    10.1109/SEANES.2012.6299605
  • Filename
    6299605