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Topics in Computational Genomics

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Abstract

Genomics began with large-scale sequencing of the human and many model organism genomes around 1990; rapid accumulation of vast genomic data brings a great challenge on how to decipher such massive molecular information. As bioinformatics in general, genome informatics is also data driven; many computational tools developed can soon be obsolete when new technologies and data types become available. Keeping this in mind if a student wants to work in this fascinating new field, one must be able to adapt quickly and to “shoot the moving targets” with the “just-in-time ammunition.”

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Authors and Affiliations

  1. Department of Molecular and Cell Biology, The University of Texas at Dallas, 800 West Campbell Rd, RL11, Richardson, TX, USA, 75080

    Michael Q. Zhang

  2. Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, 100084, China

    Michael Q. Zhang

  3. Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA

    Andrew D. Smith

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Editors and Affiliations

  1. Department of Automation, Tsinghua University, Beijing, People's Republic of China

    Rui Jiang

  2. Department of Automation, Tsinghua University, Beijing, People's Republic of China

    Xuegong Zhang

  3. Department of Molecular and Cell Biology, The University of Texas at Dallas, Richardson, Texas, USA

    Michael Q. Zhang

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Zhang, M.Q., Smith, A.D. (2013). Topics in Computational Genomics. In: Jiang, R., Zhang, X., Zhang, M. (eds) Basics of Bioinformatics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38951-1_3

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