9781032630267 - computational techniques for biological sequence analysis (19 resultados)
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Librería: Books From California, Simi Valley, CA, Estados Unidos de AmericaBooks From California
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hardcover. Condición: Fine.
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EUR 104,88
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 119,92
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 119,80
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Computational Techniques for Biological Sequence Analysis
Umer, Saiyed (EDT); Rout, Ranjeet Kumar (EDT); Khandelwal, Monika (EDT); Pati, Smitarani (EDT)
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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Computational Techniques for Biological Sequence Analysis
Umer, Saiyed (EDT); Rout, Ranjeet Kumar (EDT); Khandelwal, Monika (EDT); Pati, Smitarani (EDT)
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 130,79
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Computational Techniques for Biological Sequence Analysis
Umer, Saiyed (EDT); Rout, Ranjeet Kumar (EDT); Khandelwal, Monika (EDT); Pati, Smitarani (EDT)
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 156,12
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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Computational Techniques for Biological Sequence Analysis
Umer, Saiyed (EDT); Rout, Ranjeet Kumar (EDT); Khandelwal, Monika (EDT); Pati, Smitarani (EDT)
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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 156,06
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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
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EUR 157,20
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Hardback. Condición: New. New copy - Usually dispatched within 4 working days.
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 165,44
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Condición: New. In.
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- Edición internacional
Librería: UK BOOKS STORE, London, LONDO, Reino UnidoUK BOOKS STORE
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EUR 215,61
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Condición: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if th…e Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 210,04
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Hardcover. Condición: Brand New. 176 pages. 9.18x6.12x9.21 inches. In Stock.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 127,26
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Hardcover. Condición: new. Hardcover. This book provides an overview of basic and advanced computational techniques for analyzing and understanding protein, RNA, and DNA sequences. It covers effective computing techniques for DNA and protein classifications, evolutionary and sequence information analysis, evolutionary algorithms…, and ensemble algorithms. Furthermore, the book reviews the role of machine learning techniques, artificial intelligence, ensemble learning, and sequence-based features in predicting post-translational modifications in proteins, DNA methylation, and mRNA methylation, along with their functional implications. The book also discusses the prediction of proteinprotein and proteinDNA interactions, protein structure, and function using computational methods. It also presents techniques for quantitative analysis of proteinDNA interactions and protein methylation and their involvement in gene regulation. Additionally, the use of nature-inspired algorithms to gain insights into gene regulatory mechanisms and metabolic pathways in human diseases is explored. This book acts as a useful reference for bioinformaticians and computational biologists working in the fields of molecular biology, genomics, and bioinformatics.Key Features:Reviews machine learning techniques for DNA sequence classification and protein structure predictionDiscusses genetic algorithms for analyzing multiple sequence alignments and predicting proteinprotein interaction sitesExplores computational methods for quantitative analysis of proteinDNA interactionsExamine the role of nature-inspired algorithms in understanding the gene regulation and metabolic pathwaysCovers evolutionary algorithms and sequence-based features in predicting post-translational modifications This book provides an overview of basic and advanced computational techniques for analysing and understanding protein, RNA, and DNA sequences. This book acts as useful reference for bioinformaticians and computational biologists working in the field of molecular biology, genomics, and bioinformatics. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: moluna, Greven, Alemaniamoluna
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EUR 110,33
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Saiyed Umer is currently serving as an Assistant Professor in the Department of Computer Science and Engineering Aliah University, Kolkata, India. He was the Research Personnel at Indian Statistical Institute (ISI), K…olkata, India, from November 2.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 130,80
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Hardcover. Condición: new. Hardcover. This book provides an overview of basic and advanced computational techniques for analyzing and understanding protein, RNA, and DNA sequences. It covers effective computing techniques for DNA and protein classifications, evolutionary and sequence information analysis, evolutionary algorithms…, and ensemble algorithms. Furthermore, the book reviews the role of machine learning techniques, artificial intelligence, ensemble learning, and sequence-based features in predicting post-translational modifications in proteins, DNA methylation, and mRNA methylation, along with their functional implications. The book also discusses the prediction of proteinprotein and proteinDNA interactions, protein structure, and function using computational methods. It also presents techniques for quantitative analysis of proteinDNA interactions and protein methylation and their involvement in gene regulation. Additionally, the use of nature-inspired algorithms to gain insights into gene regulatory mechanisms and metabolic pathways in human diseases is explored. This book acts as a useful reference for bioinformaticians and computational biologists working in the fields of molecular biology, genomics, and bioinformatics.Key Features:Reviews machine learning techniques for DNA sequence classification and protein structure predictionDiscusses genetic algorithms for analyzing multiple sequence alignments and predicting proteinprotein interaction sitesExplores computational methods for quantitative analysis of proteinDNA interactionsExamine the role of nature-inspired algorithms in understanding the gene regulation and metabolic pathwaysCovers evolutionary algorithms and sequence-based features in predicting post-translational modifications This book provides an overview of basic and advanced computational techniques for analysing and understanding protein, RNA, and DNA sequences. This book acts as useful reference for bioinformaticians and computational biologists working in the field of molecular biology, genomics, and bioinformatics. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 241,61
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Hardcover. Condición: new. Hardcover. This book provides an overview of basic and advanced computational techniques for analyzing and understanding protein, RNA, and DNA sequences. It covers effective computing techniques for DNA and protein classifications, evolutionary and sequence information analysis, evolutionary algorithms…, and ensemble algorithms. Furthermore, the book reviews the role of machine learning techniques, artificial intelligence, ensemble learning, and sequence-based features in predicting post-translational modifications in proteins, DNA methylation, and mRNA methylation, along with their functional implications. The book also discusses the prediction of proteinprotein and proteinDNA interactions, protein structure, and function using computational methods. It also presents techniques for quantitative analysis of proteinDNA interactions and protein methylation and their involvement in gene regulation. Additionally, the use of nature-inspired algorithms to gain insights into gene regulatory mechanisms and metabolic pathways in human diseases is explored. This book acts as a useful reference for bioinformaticians and computational biologists working in the fields of molecular biology, genomics, and bioinformatics.Key Features:Reviews machine learning techniques for DNA sequence classification and protein structure predictionDiscusses genetic algorithms for analyzing multiple sequence alignments and predicting proteinprotein interaction sitesExplores computational methods for quantitative analysis of proteinDNA interactionsExamine the role of nature-inspired algorithms in understanding the gene regulation and metabolic pathwaysCovers evolutionary algorithms and sequence-based features in predicting post-translational modifications This book provides an overview of basic and advanced computational techniques for analysing and understanding protein, RNA, and DNA sequences. This book acts as useful reference for bioinformaticians and computational biologists working in the field of molecular biology, genomics, and bioinformatics. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 220,30
Envío por EUR 62,44Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides an overview of basic and advanced computational techniques for analysing and understanding protein, RNA, and DNA sequences. This book acts as useful reference for bioinformaticians and computational biologists working in the…field of molecular biology, genomics, and bioinformatics.
