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: Computing for Comparative Microbial Genomics
    sub title: Bioinformatics for Microbiologists
  name:
    name part: Ussery, David W.
    role:
      role term: editor.
  name:
    name part: Wassenaar, Trudy M.
    role:
      role term: editor.
  name:
    name part: Borini, Stefano.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 270 p. online resource.
  abstract: The major difficulty many microbiologists face is simply that of too much information. As a result of sequencing technologies becoming so economical, there is a very real and pressing need for high-throughput computational methods to compare hundreds and thousands of bacterial genomes. This accessible text/reference provides a coherent set of tools and a methodological framework for comparing raw DNA sequences and fully annotated genome sequences, then using these to build up and test models about groups of interacting organisms within an environment or ecological niche. Easy-to-follow, this introductory textbook is built around teaching computational / bioinformatics methods for comparison of microbial genomes, and includes detailed examples of how to compare them at the level of DNA, RNA, and protein, in terms of structural and functional analysis. Topics and Features: • Contains five introductory chapters each representing a specific scientific field, to bring all readers up to the same basic level • Familiarizes readers with genome sequences, RNA sequences (transcriptomics), proteomics and regulation of gene expression • Describes basic methods to compare genomes and visualize the results for easy interpretation • Discusses microbial communities, providing a framework for analysing and comparing individual genomes or raw DNA derived from complete ecosystems • Introduces various atlases, building up to the Genome Atlas • Offers numerous helpful examples throughout • Focuses on the use and interpretation of publicly available Web tools • Provides supplemental resources, such as Web links, at http://comparativemicrobial.com Developed from a set of lectures for a course in Comparative Microbial Genomics taught since 2001, this wide-ranging foundational textbook is aimed at advanced undergraduate and graduate students in Bioinformatics and Microbiology. The authors are from diverse backgrounds complementing the interdisciplinary nature of the topic and consequently h…
  table of contents: Introductions -- Sequences as Biological Information: Cells Obey the Laws of Chemistry and Physics -- Bioinformatics for Microbiologists: An Introduction -- Microbial Genome Sequences: A New Era in Microbiology -- An Overview of Genome Databases -- The Challenges of Programming: A Brief Introduction -- Comparative Genomics -- Methods to Compare Genomes The First Examples -- Genomic Properties: Length, Base Composition and DNA Structures -- Word Frequencies and Repeats -- Transcriptomics and Proteomics -- Transcriptomics: Translated and Untranslated RNA -- Expression of Genes and Proteins -- Of Proteins, Genomes, and Proteomes -- Microbial Communities -- Microbial Communities: Core and Pan-Genomics -- Metagenomics of Microbial Communities -- Evolution of Microbial Communities; or, On the Origins of Bacterial Species.
  note: edited by David W. Ussery, Trudy M. Wassenaar, Stefano Borini.
  subject:
    topic: Life sciences
  subject:
    topic: Human genetics
  subject:
    topic: Computer science
  subject:
    topic: Computers
  subject:
    topic: Bioinformatics
  subject:
    topic: Microbiology
  subject:
    topic: Microbial genetics
  subject:
    topic: Microbial genomics
  subject:
    topic: Life Sciences
  subject:
    topic: Microbiology
  subject:
    topic: Computer Science, general
  subject:
    topic: Computational Biology/Bioinformatics
  subject:
    topic: Microbial Genetics and Genomics
  subject:
    topic: Computing Methodologies
  subject:
    topic: Human Genetics
  classification: QR1-502
  classification: 579
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Computational Biology, 8
  identifier: 9781848002555
  identifier: http://dx.doi.org/10.1007/978-1-84800-255-5
  record info:
    record creation date: 100301
    record change date: 20151204161413.0
    record identifier: 978-1-84800-255-5