❞ كتاب Knowledge-Based Bioinformatics_ From analysis to interpretation ❝  ⏤ Gil Alterovitz, Marco Ramoni

❞ كتاب Knowledge-Based Bioinformatics_ From analysis to interpretation ❝ ⏤ Gil Alterovitz, Marco Ramoni

نبذه عن الكتاب:

The information generated by progressive biomedical research is increasing
rapidly, resulting in a tremendous increase in the biological data resource, including protein and gene databases, model organism databases, annotation databases,
biomolecular interaction databases, microarray data, scientific literature data,
and much more. The challenge is in representation, integration, analysis and
interpretation of the available knowledge and data. The book, Knowledge-Based
Bioinformatics: From Analysis to Interpretation, is an endeavor to address the
above challenges. The driving force is the need for more background information
and broader coverage of recent developments in the field of knowledge-based
systems and data-analysis approaches, and their applications to deal with issues
that arise from the current increase of biological data in genomic and proteomic
research. Also, opportunity exists in utilizing these vast amounts of valuable
information for benefit in fitness and disease conditions.
Knowledge-Based Bioinformatics: From Analysis to Interpretation, introduces
knowledge-driven approaches, methods, and implementation techniques for
bioinformatics. The book includes coverage from data-driven Bayesian networks
to ontology-based analysis with applications in the field of bioinformatics. It is
divided into four sections. The first section provides an overview of knowledgedriven approaches. Chapter 1, Knowledge-based bioinformatics, presents the
current status of biomedical research and significance of knowledge-driven
approaches in analyzing the data generated. The focus is on current utilization of
the approaches and further enhancement required for advancing the biomedical
knowledge. Chapter 2, Knowledge-driven approaches to genome-scale analysis,
further explains the concept and covers various systems used for supporting
biomedical discovery in genome-scale data. It emphasizes the importance of
the knowledge-driven approaches for utilizing the existing knowledge, and
challenges to overcome in their development and application. Chapter 3,
Technologies and best practices for building bio-ontologies, reviews the process
of building bio-ontologies, analyzing the benefits and problems of modeling
biological knowledge axiomatically, especially with regards to automated
reasoning. It also focuses on various knowledge representation languages,
Gil Alterovitz, Marco Ramoni - ❰ له مجموعة من المؤلفات أبرزها ❞ Knowledge-Based Bioinformatics_ From analysis to interpretation ❝ ❱
من Biology Books - مكتبة الكتب العلمية.

نُبذة عن الكتاب:
Knowledge-Based Bioinformatics_ From analysis to interpretation

2010م - 1443هـ
نبذه عن الكتاب:

The information generated by progressive biomedical research is increasing
rapidly, resulting in a tremendous increase in the biological data resource, including protein and gene databases, model organism databases, annotation databases,
biomolecular interaction databases, microarray data, scientific literature data,
and much more. The challenge is in representation, integration, analysis and
interpretation of the available knowledge and data. The book, Knowledge-Based
Bioinformatics: From Analysis to Interpretation, is an endeavor to address the
above challenges. The driving force is the need for more background information
and broader coverage of recent developments in the field of knowledge-based
systems and data-analysis approaches, and their applications to deal with issues
that arise from the current increase of biological data in genomic and proteomic
research. Also, opportunity exists in utilizing these vast amounts of valuable
information for benefit in fitness and disease conditions.
Knowledge-Based Bioinformatics: From Analysis to Interpretation, introduces
knowledge-driven approaches, methods, and implementation techniques for
bioinformatics. The book includes coverage from data-driven Bayesian networks
to ontology-based analysis with applications in the field of bioinformatics. It is
divided into four sections. The first section provides an overview of knowledgedriven approaches. Chapter 1, Knowledge-based bioinformatics, presents the
current status of biomedical research and significance of knowledge-driven
approaches in analyzing the data generated. The focus is on current utilization of
the approaches and further enhancement required for advancing the biomedical
knowledge. Chapter 2, Knowledge-driven approaches to genome-scale analysis,
further explains the concept and covers various systems used for supporting
biomedical discovery in genome-scale data. It emphasizes the importance of
the knowledge-driven approaches for utilizing the existing knowledge, and
challenges to overcome in their development and application. Chapter 3,
Technologies and best practices for building bio-ontologies, reviews the process
of building bio-ontologies, analyzing the benefits and problems of modeling
biological knowledge axiomatically, especially with regards to automated
reasoning. It also focuses on various knowledge representation languages, .
المزيد..

تعليقات القرّاء:

Biologically

Biology is a natural science that is concerned with the study of life, its various forms and its function, how these organisms interact with each other and with the surrounding environment. The word biology in Greek is made up of two words: bio (βίος) meaning life. And loggia (-λογία) means science or study. Biology: the similarity of vegetation and animal cover on the edges of the African and American states, and the existence of the same fossil.


Branches of biology
Biology is an ancient science thousands of years old and modern biology began in the nineteenth century. This science has multiple branches. Among them are:

Anatomy
Botany
Biochemia
Biogeography
Biofisia
Cytology or cell science
Ecology or environmental science

 

 

نبذه عن الكتاب:

The information generated by progressive biomedical research is increasing
rapidly, resulting in a tremendous increase in the biological data resource, including protein and gene databases, model organism databases, annotation databases,
biomolecular interaction databases, microarray data, scientific literature data,
and much more. The challenge is in representation, integration, analysis and
interpretation of the available knowledge and data. The book, Knowledge-Based
Bioinformatics: From Analysis to Interpretation, is an endeavor to address the
above challenges. The driving force is the need for more background information
and broader coverage of recent developments in the field of knowledge-based
systems and data-analysis approaches, and their applications to deal with issues
that arise from the current increase of biological data in genomic and proteomic
research. Also, opportunity exists in utilizing these vast amounts of valuable
information for benefit in fitness and disease conditions.
Knowledge-Based Bioinformatics: From Analysis to Interpretation, introduces
knowledge-driven approaches, methods, and implementation techniques for
bioinformatics. The book includes coverage from data-driven Bayesian networks
to ontology-based analysis with applications in the field of bioinformatics. It is
divided into four sections. The first section provides an overview of knowledgedriven approaches. Chapter 1, Knowledge-based bioinformatics, presents the
current status of biomedical research and significance of knowledge-driven
approaches in analyzing the data generated. The focus is on current utilization of
the approaches and further enhancement required for advancing the biomedical
knowledge. Chapter 2, Knowledge-driven approaches to genome-scale analysis,
further explains the concept and covers various systems used for supporting
biomedical discovery in genome-scale data. It emphasizes the importance of
the knowledge-driven approaches for utilizing the existing knowledge, and
challenges to overcome in their development and application. Chapter 3,
Technologies and best practices for building bio-ontologies, reviews the process
of building bio-ontologies, analyzing the benefits and problems of modeling
biological knowledge axiomatically, especially with regards to automated
reasoning. It also focuses on various knowledge representation languages,

Biology
Human biology
Who is the founder of biology?
The importance of biology
Areas of work in the field of biology
Theories of biology
Research on biology for the first grade of secondary school
Human biology

 



سنة النشر : 2010م / 1431هـ .
حجم الكتاب عند التحميل : 3.32 .
نوع الكتاب : pdf.
عداد القراءة: عدد قراءة Knowledge-Based Bioinformatics_ From analysis to interpretation

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كتب Gil Alterovitz, Marco Ramoni ❰ له مجموعة من المؤلفات أبرزها ❞ Knowledge-Based Bioinformatics_ From analysis to interpretation ❝ ❱. المزيد..

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