• DocumentCode
    673204
  • Title

    Multiple sequence alignment a quick tour

  • Author

    Chintapalli, Radha ; Kumar, Ajit ; Parayitam, Laxminarayana

  • Author_Institution
    Res. & Training Unit for Navig. Electron., Osmania Univ., Hyderabad, India
  • fYear
    2013
  • fDate
    21-22 Sept. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Sequence alignment has a lot of significance in the field of bioinformatics. Since multiple sequence alignment (MSA) carries more information than pairwise alignment of the sequences, it has more number of applications. In the past few decades many algorithms and tools have been developed for the computation of multiple sequence alignment. However, accuracy of MSA still remains an open problem for further research. As more and more experimental data is being generated through sequencing technologies of second generation, there is an urgent need to develop tools that make use of integrative methods to derive biologically meaningful information from these immense data and use it to improve the accuracy of MSA. MSA tools that can scale upto the full length genome will also find wide applications in the near future.
  • Keywords
    DNA; RNA; bioinformatics; proteins; DNA; MSA tools; RNA; bioinformatics; biologically meaningful information; multiple sequence alignment; protein; sequencing technologies; Accuracy; Dynamic programming; Heuristic algorithms; Hidden Markov models; Matrices; Probabilistic logic; Proteins; Alignment; DNA; algorithm; dynamic programming proteins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computing Technologies (ICACT), 2013 15th International Conference on
  • Conference_Location
    Rajampet
  • Print_ISBN
    978-1-4673-2816-6
  • Type

    conf

  • DOI
    10.1109/ICACT.2013.6710499
  • Filename
    6710499