rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Mathematical Grammar of Biology
  name:
    name part: Yamagishi, Michel Eduardo Beleza.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 82 p. 19 illus., 17 illus. in color. online resource.
  abstract: This seminal, multidisciplinary book shows how mathematics can be used to study the first principles of DNA. Most importantly, it enriches the so-called “Chargaff’s grammar of biology” by providing the conceptual theoretical framework necessary to generalize Chargaff’s rules. Starting with a simple example of DNA mathematical modeling where human nucleotide frequencies are associated to the Fibonacci sequence and the Golden Ratio through an optimization problem, its breakthrough is showing that the reverse, complement and reverse-complement operators defined over oligonucleotides induce a natural set partition of DNA words of fixed-size. These equivalence classes, when organized into a matrix form, reveal hidden patterns within the DNA sequence of every living organism. Intended for undergraduate and graduate students both in mathematics and in life sciences, it is also a valuable resource for researchers interested in studying invariant genomic properties.
  table of contents: Chapter 01- Introduction -- Chapter 02- Modeling Human Nucleotide Frequencies -- Chapter 03- Expanding the Grammar of Biology -- Chapter 04 - "In God We Trust; All Others, Bring Data."- References.
  note: by Michel Eduardo Beleza Yamagishi.
  subject:
    topic: Mathematics
  subject:
    topic: Biology
    topic: Philosophy
  subject:
    topic: Bioinformatics
  subject:
    topic: Biomathematics
  subject:
    topic: Mathematics
  subject:
    topic: Genetics and Population Dynamics
  subject:
    topic: Computational Biology/Bioinformatics
  subject:
    topic: Philosophy of Biology
  classification: QH323.5
  classification: QH455
  classification: 576.58
  classification: 577.88
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Mathematics
  identifier: 9783319626895
  identifier: http://dx.doi.org/10.1007/978-3-319-62689-5
  record info:
    record creation date: 170831
    record change date: 20170831133925.0
    record identifier: 978-3-319-62689-5