Bioinformatics: An Introduction (Computational Biology)
by: Jeremy Ramsden
Bioinformatics: An Introduction (Computational Biology)
By Jeremy Ramsden
Publisher: Springer
Number Of Pages: 272
Publication Date: 2009-04-14
ISBN-10 / ASIN: 1848002564
ISBN-13 / EAN: 9781848002562
Product Description:
Bioinformatics
is interpreted as the application of information science to biology, in
which it plays a fundamental and all-pervasive role. The field
continues to develop intensively in both academia and commercially, and
is highly interdisciplinary. This broad-ranging and thoroughly updated
second edition covers new findings while retaining the successful
formula of the original text.
Bioinformatics: An Introduction
is structured into three parts devoted to Information, Biology, and
Applications. Every section of the book has been completely revised for
currency, and expanded where relevant, to take account of significant
new discoveries and realizations of the importance of key concepts.
Furthermore, two new chapters provide instruction about algorithms and
knowledge representation. Emphases are placed on the underlying
fundamentals and on acquisition of a broad and comprehensive grasp of
the field as a whole.
Features:
• Provides a solid
foundation in, and self-contained introduction to, the field of
bioinformatics and its state-of-the-art as it relates to computational
biology research
• Imparts a thorough grounding of core concepts, enabling the reader to understand contemporary work within an optimal context
• Includes examples, definitions, problems and a comprehensive and useful bibliography
• Offers additional chapters on algorithms and knowledge representation, including text mining [NEW]
• Presents new experimental methods, and serves as a springboard for new research [NEW]
• Contains a greatly expanded chapter on interactions and regulatory networks [NEW]
• Incorporates discussion of the method of drawing inferences from abstract sequence analysis based on frequency dictionaries
• Contains an extensively revised chapter on medical applications [NEW]
• Emphasizes the underlying fundamentals and acquisition of a broad and comprehensive grasp of the field as a whole
This
significantly improved second edition of a successful textbook is
intended to be a complete study companion for the advanced
undergraduate or graduate student. It is self-contained, bringing
together the multiple disciplines necessary for a profound grasp of the
field into a coherent whole, thereby allowing the reader to gain much
insight into the state-of-the-art of bioinformatics.
http://rapidshare.com/files/227742842/1848002564.rar
by: Jeremy Ramsden
Bioinformatics: An Introduction (Computational Biology)
By Jeremy Ramsden
Publisher: Springer
Number Of Pages: 272
Publication Date: 2009-04-14
ISBN-10 / ASIN: 1848002564
ISBN-13 / EAN: 9781848002562
Product Description:
Bioinformatics
is interpreted as the application of information science to biology, in
which it plays a fundamental and all-pervasive role. The field
continues to develop intensively in both academia and commercially, and
is highly interdisciplinary. This broad-ranging and thoroughly updated
second edition covers new findings while retaining the successful
formula of the original text.
Bioinformatics: An Introduction
is structured into three parts devoted to Information, Biology, and
Applications. Every section of the book has been completely revised for
currency, and expanded where relevant, to take account of significant
new discoveries and realizations of the importance of key concepts.
Furthermore, two new chapters provide instruction about algorithms and
knowledge representation. Emphases are placed on the underlying
fundamentals and on acquisition of a broad and comprehensive grasp of
the field as a whole.
Features:
• Provides a solid
foundation in, and self-contained introduction to, the field of
bioinformatics and its state-of-the-art as it relates to computational
biology research
• Imparts a thorough grounding of core concepts, enabling the reader to understand contemporary work within an optimal context
• Includes examples, definitions, problems and a comprehensive and useful bibliography
• Offers additional chapters on algorithms and knowledge representation, including text mining [NEW]
• Presents new experimental methods, and serves as a springboard for new research [NEW]
• Contains a greatly expanded chapter on interactions and regulatory networks [NEW]
• Incorporates discussion of the method of drawing inferences from abstract sequence analysis based on frequency dictionaries
• Contains an extensively revised chapter on medical applications [NEW]
• Emphasizes the underlying fundamentals and acquisition of a broad and comprehensive grasp of the field as a whole
This
significantly improved second edition of a successful textbook is
intended to be a complete study companion for the advanced
undergraduate or graduate student. It is self-contained, bringing
together the multiple disciplines necessary for a profound grasp of the
field into a coherent whole, thereby allowing the reader to gain much
insight into the state-of-the-art of bioinformatics.
http://rapidshare.com/files/227742842/1848002564.rar
