Cargando…

Bioinformatics A Concept-Based Introduction /

Bioinformatics: A Concept-Based Introduction is provides a balance of information on computational methods and biological information. Instead of delving in depth, a broad but necessary overview is provided for each topic, resulting in content that will benefit readers with different levels of exper...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Mathura, Venkatarajan (Autor), Kangueane, Pandjassarame (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-0-387-84870-9
003 DE-He213
005 20220120162107.0
007 cr nn 008mamaa
008 100301s2009 xxu| s |||| 0|eng d
020 |a 9780387848709  |9 978-0-387-84870-9 
024 7 |a 10.1007/978-0-387-84870-9  |2 doi 
050 4 |a QH324.2-324.25 
072 7 |a UY  |2 bicssc 
072 7 |a PS  |2 bicssc 
072 7 |a SCI056000  |2 bisacsh 
072 7 |a PSAX  |2 thema 
082 0 4 |a 570.285  |2 23 
100 1 |a Mathura, Venkatarajan.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Bioinformatics  |h [electronic resource] :  |b A Concept-Based Introduction /  |c by Venkatarajan Mathura, Pandjassarame Kangueane. 
250 |a 1st ed. 2009. 
264 1 |a New York, NY :  |b Springer US :  |b Imprint: Springer,  |c 2009. 
300 |a XIV, 190 p. 23 illus., 3 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a to Biological Systems -- Computer Programming Fundamentals and Concepts -- to Algorithms -- Biological Sequence Databases -- Biological Sequence Search and Analysis -- Protein Structure Prediction -- Protein-Protein Interaction and Macromolecular Visualization -- Genes, Genomics, Microarray Methods, and Analysis -- to Proteomics -- Biomedical Literature Mining -- Computational Immunology: HLA-peptide Binding Prediction -- Bioinformatics Application: Eukaryotic Gene Count and Evolution -- Bioinformatics Application: Predicting Protein Subcellular Localization by Applying Machine Learning -- Bioinformatics Analysis: Gene Fusion. 
520 |a Bioinformatics: A Concept-Based Introduction is provides a balance of information on computational methods and biological information. Instead of delving in depth, a broad but necessary overview is provided for each topic, resulting in content that will benefit readers with different levels of expertise. This book contains contributions from experts in the field on emerging topics like Immunoinformatics, Genomics and Proteomics. It discusses real-world problems with Bioinformatics solutions, cites important URLs and contains selected chapter exercises to reinforce concepts. 
650 0 |a Bioinformatics. 
650 0 |a Agriculture. 
650 1 4 |a Bioinformatics. 
650 2 4 |a Agriculture. 
700 1 |a Kangueane, Pandjassarame.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9781441946584 
776 0 8 |i Printed edition:  |z 9780387849072 
776 0 8 |i Printed edition:  |z 9780387848693 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-0-387-84870-9  |z Texto Completo 
912 |a ZDB-2-SBL 
912 |a ZDB-2-SXB 
950 |a Biomedical and Life Sciences (SpringerNature-11642) 
950 |a Biomedical and Life Sciences (R0) (SpringerNature-43708)