Criterios de búsqueda

Gran Área: Ciencias exactas y naturales
Área: Ciencias de la computación e información
Subárea: Bioinformática

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Resultado: 188 registro(s)

149

Digital Mammography

8th International Workshop, IWDM 2006, Manchester, UK, June 18-21, 2006, Proceedings Vol. 4046

 

13th ed. Berlin, Heidelberg: Springer-Verlag GmbH, 2006.

Título de la serie/colección: Lecture Notes in Computer Science. ISSN 0302-9743,

ISBNs 9783540356257 9783540356271

Colección: SpringerLink


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392

Distributed, High-Performance and Grid Computing in Computational Biology

International Workshop, GCCB 2006, Eilat, Israel, January 21, 2007. Proceedings Vol. 4360

 

13th ed. Berlin, Heidelberg: Springer-Verlag, 2007.

Título de la serie/colección: Lecture Notes in Computer Science. ISSN 0302-9743,

ISBNs 9783540698418 9783540699682

Colección: SpringerLink


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352

DNA Computing

12th International Meeting on DNA Computing, DNA12, Seoul, Korea, June 5-9, 2006, Revised Selected Papers Vol. 4287

 

13th ed. Berlin, Heidelberg: Springer-Verlag GmbH, 2006.

Título de la serie/colección: Lecture Notes in Computer Science. ISSN 0302-9743,

ISBNs 9783540490241 9783540684237

Colección: SpringerLink


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8390

DNA Computing

10th International Workshop on DNA Computing, DNA10, Milan, Italy, June 7-10, 2004, Revised Selected Papers Vol. 3384

 

13th ed. Berlin, Heidelberg: Springer-Verlag GmbH, 2005.

Título de la serie/colección: Lecture Notes in Computer Science. ISSN 0302-9743,

ISBNs 9783540261742 9783540318446

Colección: SpringerLink


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8524

DNA Computing

11th International Workshop on DNA Computing, DNA11, London, ON, Canada, June 6-9, 2005. Revised Selected Papers. Vol. 3892

 

13th ed. Berlin, Heidelberg: Springer-Verlag GmbH, 2006.

Título de la serie/colección: Lecture Notes in Computer Science. ISSN 0302-9743,

ISBNs 9783540341611 9783540341659

Colección: SpringerLink


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10062

DNA Computing

7th International Workshop on DNA-Based Computers, DNA7 Tampa, FL, USA, June 10-13, 2001 Revised Papers Vol. 2340

 

13th ed. Berlin, Heidelberg: Springer-Verlag, 2006.

Título de la serie/colección: Lecture Notes in Computer Science. ISSN 0302-9743,

ISBNs 9783540437758 9783540480174

Colección: SpringerLink


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486

Emergent Computation

Emphasizing Bioinformatics

 

13th ed. New York, NY: Springer Science+Business Media, 2005.

Título de la serie/colección: Biological and Medical Physics Biomedical Engineering. ISSN 1618-7210,

ISBNs 9780387220468 9780387272702

Colección: SpringerLink


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6823

Emerging Technologies in Knowledge Discovery and Data Mining

PAKDD 2007 International Workshops Nanjing, China, May 22-25, 2007 Revised Selected Papers Vol. 4819

 

13th ed. Berlin, Heidelberg: Springer-Verlag, 2007.

Título de la serie/colección: Lecture Notes in Computer Science. ISSN 0302-9743,

ISBNs 9783540770169 9783540770183

Colección: SpringerLink


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17910

Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology

Systems and Applications

 

Morgan Kaufmann, 2016.

ISBNs 9780128042038

Colección: ScienceDirect

Resumen (en inglés):

Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications covers the latest trends in the field with special emphasis on their applications. The first part covers the major areas of computational biology, development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques for the study of biological and behavioral systems.

The second part covers bioinformatics, an interdisciplinary field concerned with methods for storing, retrieving, organizing, and analyzing biological data. The book also explores the software tools used to generate useful biological knowledge.

The third part, on systems biology, explores how to obtain, integrate, and analyze complex datasets from multiple experimental sources using interdisciplinary tools and techniques, with the final section focusing on big data and the collection of datasets so large and complex that it becomes difficult to process using conventional database management systems or traditional data processing applications.

  • Explores all the latest advances in this fast-developing field from an applied perspective
  • Provides the only coherent and comprehensive treatment of the subject available
  • Covers the algorithm development, software design, and database applications that have been developed to foster research


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17911

Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology

 

Morgan Kaufmann, 2015.

ISBNs 9780128025086

Colección: ScienceDirect

Resumen (en inglés):

Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology discusses the latest developments in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation techniques.

• Discusses the development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques to the study of biological and behavioral systems, including applications in cancer research, computational intelligence and drug design, high-performance computing, and biology, as well as cloud and grid computing for the storage and access of big data sets.

• Presents a systematic approach for storing, retrieving, organizing, and analyzing biological data using software tools with applications to general principles of DNA/RNA structure, bioinformatics and applications, genomes, protein structure, and modeling and classification, as well as microarray analysis.

• Provides a systems biology perspective, including general guidelines and techniques for obtaining, integrating, and analyzing complex data sets from multiple experimental sources using computational tools and software. Topics covered include phenomics, genomics, epigenomics/epigenetics, metabolomics, cell cycle and checkpoint control, and systems biology and vaccination research.

• Explains how to effectively harness the power of Big Data tools when data sets are so large and complex that it is difficult to process them using conventional database management systems or traditional data processing applications.

  • Discusses the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological and behavioral systems.
  • Presents a systematic approach for storing, retrieving, organizing and analyzing biological data using software tools with applications.
  • Provides a systems biology perspective including general guidelines and techniques for obtaining, integrating and analyzing complex data sets from multiple experimental sources using computational tools and software.


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