Bioinformatics : a practical guide to the analysis of genes and proteins / edited by Andreas D. Baxevanis, B.F. Francis Ouellette
Tipo de material:
TextoDetalles de publicación: Hoboken, New Jersey : Wiley-Interscience, 2005 Edición: 3rd ed.Descripción: XVIII, 540 p. : il. col. ; 29 cmISBN: 0-471-47878-4Tema(s): Genética | BioinformáticaResumen: This new edition of the highly successful Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins provides a sound foundation of basic concepts, with practical discussions and comparisons of both computational tools and databases relevant to biological research.Equipping biologists with the modern tools necessary to solve practical problems in sequence data analysis, the Second Edition covers the broad spectrum of topics in bioinformatics, ranging from Internet concepts to predictive algorithms used on sequence, structure, and expression data. With chapters written by experts in the field, this up-to-date reference thoroughly covers vital concepts and is appropriate for both the novice and the experienced practitioner. Written in clear, simple language, the book is accessible to users without an advanced mathematical or computer science background.
| Tipo de ítem | Biblioteca de origen | Signatura | URL | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems | Bibliografía recomendada |
|---|---|---|---|---|---|---|---|---|
| Manuales | 02. BIBLIOTECA CAMPUS PUERTO REAL | 577.1/.2/BIO (Navegar estantería(Abre debajo)) | Texto completo | Prestado | 19/02/2024 | 3742351918 |
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This new edition of the highly successful Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins provides a sound foundation of basic concepts, with practical discussions and comparisons of both computational tools and databases relevant to biological research.Equipping biologists with the modern tools necessary to solve practical problems in sequence data analysis, the Second Edition covers the broad spectrum of topics in bioinformatics, ranging from Internet concepts to predictive algorithms used on sequence, structure, and expression data. With chapters written by experts in the field, this up-to-date reference thoroughly covers vital concepts and is appropriate for both the novice and the experienced practitioner. Written in clear, simple language, the book is accessible to users without an advanced mathematical or computer science background.
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