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Books > Computing & IT > Applications of computing > Databases > Data capture & analysis
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Bioinformatics - Managing Scientific Data (Hardcover)
Loot Price: R2,319
Discovery Miles 23 190
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Bioinformatics - Managing Scientific Data (Hardcover)
Series: The Morgan Kaufmann Series in Multimedia Information and Systems
Expected to ship within 9 - 15 working days
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Life science data integration and interoperability is one of the
most challenging problems facing bioinformatics today. In the
current age of the life sciences, investigators have to interpret
many types of information from a variety of sources: lab
instruments, public databases, gene expression profiles, raw
sequence traces, single nucleotide polymorphisms, chemical
screening data, proteomic data, putative metabolic pathway models,
and many others. Unfortunately, scientists are not currently able
to easily identify and access this information because of the
variety of semantics, interfaces, and data formats used by the
underlying data sources.
Bioinformatics: Managing Scientific Data tackles this challenge
head-on by discussing the current approaches and variety of systems
available to help bioinformaticians with this increasingly complex
issue. The heart of the book lies in the collaboration efforts of
eight distinct bioinformatics teams that describe their own unique
approaches to data integration and interoperability. Each system
receives its own chapter where the lead contributors provide
precious insight into the specific problems being addressed by the
system, why the particular architecture was chosen, and details on
the system's strengths and weaknesses. In closing, the editors
provide important criteria for evaluating these systems that
bioinformatics professionals will find valuable.
* Provides a clear overview of the state-of-the-art in data
integration and interoperability in genomics, highlighting a
variety of systems and giving insight into the strengths and
weaknesses of their different approaches.
* Discusses shared vocabulary, design issues, complexity of use
cases, and the difficulties of transferring existing data
management approaches to bioinformatics systems, which serves to
connect computer and life scientists.
* Written by the primary contributors of eight reputable
bioinformatics systems in academia and industry including: BioKris,
TAMBIS, K2, GeneExpress, P/FDM, MBM, SDSC, SRS, and DiscoveryLink.
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