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@INBOOK{Drpinghaus:257348,
      author       = {Dörpinghaus, Jens and Weil, Vera and Schaaf, Sebastian and
                      Apke, Alexander},
      title        = {{S}equence {A}nalysis; 1st ed. 2022},
      volume       = {112},
      address      = {Cham},
      publisher    = {Springer International Publishing},
      reportid     = {DZNE-2023-00417},
      isbn         = {978-3-031-08411-9},
      series       = {Studies in Big Data},
      pages        = {415-437},
      year         = {2022},
      comment      = {[Ebook] Computational Life Sciences : Data Engineering and
                      Data Mining for Life Sciences / Dörpinghaus, Jens ; Weil,
                      Vera ; Schaaf, Sebastian ; Apke, Alexander 1st ed. 2022,
                      Cham : Springer International Publishing, 2022,},
      booktitle     = {[Ebook] Computational Life Sciences :
                       Data Engineering and Data Mining for
                       Life Sciences / Dörpinghaus, Jens ;
                       Weil, Vera ; Schaaf, Sebastian ; Apke,
                       Alexander 1st ed. 2022, Cham : Springer
                       International Publishing, 2022,},
      abstract     = {The collection and understanding of biological sequences
                      once founded bioinformatics as a scientific field, and is
                      still the most common reception even outside the scientific
                      community. In this chapter we introduce principles of
                      sequence analysis, starting on the biological backgrounds,
                      up to algorithmic concerns. In the following, we focus on
                      the principle handling of sequence data in practice, using
                      BioJava’s relevant packages. Further application-oriented
                      topics treat database searches as well as the underlying
                      sequence alignment algorithms. While we concentrate on the
                      classical FASTA format for demonstration reasons,
                      Next-Generation Sequencing (NGS) data and principles are
                      addressed as well. The chapter closes on relating to
                      contemporary developments in applications and technologies.},
      cin          = {AG Klockgether / AG Becker},
      ddc          = {620.00285},
      cid          = {I:(DE-2719)1011001 / I:(DE-2719)1013007},
      pnm          = {353 - Clinical and Health Care Research (POF4-353) / 354 -
                      Disease Prevention and Healthy Aging (POF4-354)},
      pid          = {G:(DE-HGF)POF4-353 / G:(DE-HGF)POF4-354},
      typ          = {PUB:(DE-HGF)7},
      doi          = {10.1007/978-3-031-08411-9_15},
      url          = {https://pub.dzne.de/record/257348},
}