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Essential Bioinformatics (Hardcover)
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Essential Bioinformatics (Hardcover)
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A flood of data means that many of the challenges in biology are
now challenges in computing. Bioinformatics, the application of
computational techniques to analyse the information associated with
biomolecules on a large-scale, has now firmly established itself as
a discipline in molecular biology, and encompasses a wide range of
subject areas from structural biology, genomics to gene expression
studies. In this text we provide an introduction and overview of
the current state of the field. We discuss the main principles that
underpin bioinformatics analyses, look at the types of biological
information and databases that are commonly used, and finally
examine some of the studies that are being conducted, particularly
with reference to transcription regulatory systems. The aims of
bioinformatics are threefold. First, at its simplest bioinformatics
organises data in a way that allows researchers to access existing
information and to submit new entries as they are produced, e.g.
the Protein Data Bank for 3D macromolecular structures . While
data-curation is an essential task, the information stored in these
databases is essentially useless until analysed. Thus the purpose
of bioinformatics extends much further. The second aim is to
develop tools and resources that aid in the analysis of data. For
example, having sequenced a particular protein, it is of interest
to compare it with previously characterised sequences. This needs
more than just a simple text-based search and programs such as
FASTA and PSI-BLAST must consider what comprises a biologically
significant match. Development of such resources dictates expertise
in computational theory as well as a thorough understanding of
biology. The third aim is to use these tools to analyse the data
and interpret the results in a biologically meaningful manner.
Traditionally, biological studies examined individual systems in
detail, and frequently compared them with a few that are related.
In bioinformatics, we can now conduct global analyses of all the
available data with the aim of uncovering common principles that
apply across many systems and highlight novel feature.
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