Bioinformatics: Managing Scientific Data (The Morgan Kaufmann Series in Multimedia Information and Systems)
Bioinformatics: Managing Scientific Data (The Morgan Kaufmann Series in Multimedia Information and Systems)
By Zo茅 Lacroix, Terence Critchlow
Publisher: Morgan Kaufmann
Number Of Pages: 300
Publication Date: 2003-07
ISBN-10 / ASIN: 155860829X
ISBN-13 / EAN: 9781558608290
Binding: Hardcover
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.
Summary: Great contributions, lots of details, in-depth knowledge
Rating: 5
The book compiles chapters written by different authors all of whom
are experts in the area of managing life science and/or scientific
data. The variety of approaches, the clear description, and the details
make this book an important source for those who want to know more
about the "state-of-the-art" data management in the area of
bioinformatics. By presenting such a great mixtures the reader can
reflect on hes/her own requirements thus using this book as a first
step for making a decision how to manage one's own data in this realm.
Those who are active in managing life science data will find this
book to be a great resource and a great starting point to get a
comprehensive overview of alternative solutions and their strength and
weaknesses.
http://mihd.net/haliqf
http://rapidshare.com/files/70399671/15586lacroix0829x.rar
Bioinformatics: Managing Scientific Data (The Morgan Kaufmann Series in Multimedia Information and Systems)
By Zo茅 Lacroix, Terence Critchlow
Publisher: Morgan Kaufmann
Number Of Pages: 300
Publication Date: 2003-07
ISBN-10 / ASIN: 155860829X
ISBN-13 / EAN: 9781558608290
Binding: Hardcover
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.
Summary: Great contributions, lots of details, in-depth knowledge
Rating: 5
The book compiles chapters written by different authors all of whom
are experts in the area of managing life science and/or scientific
data. The variety of approaches, the clear description, and the details
make this book an important source for those who want to know more
about the "state-of-the-art" data management in the area of
bioinformatics. By presenting such a great mixtures the reader can
reflect on hes/her own requirements thus using this book as a first
step for making a decision how to manage one's own data in this realm.
Those who are active in managing life science data will find this
book to be a great resource and a great starting point to get a
comprehensive overview of alternative solutions and their strength and
weaknesses.
http://mihd.net/haliqf
http://rapidshare.com/files/70399671/15586lacroix0829x.rar
