kihara daisuke (33 Ergebnisse)

3rd Ed. XI, 253 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Methods in Molecular Biology, 1137. Sprache: Englisch.

4th ed. 2020. XII, 358 p. Hardcover. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Methods in Molecular Biology, 2165. Sprache: Englisch.

Hardcover. Zustand: New. 4th Edition.

Zustand: New. In.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. In.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 324 | Sprache: Englisch | Produktart: Bücher | Gene function annotation has been a central question in molecular biology. The importance of computational function prediction is increasing because more and more large scale biological data, including genome sequences, protein structures, protein-protein interaction data, microarray expression data, and mass spectrometry data, are awaiting biological interpretation. Traditionally when a genome is sequenced, function annotation of genes is done by homology search methods, such as BLAST or FASTA. However, since these methods are developed before the genomics era, conventional use of them is not necessarily most suitable for analyzing a large scale data. Therefore we observe emerging development of computational gene function prediction methods, which are targeted to analyze large scale data, and also those which use such omics data as additional source of function prediction. In this book, we overview this emerging exciting field. The authors have been selected from 1) those who develop novel purely computational methods 2) those who develop function prediction methods which use omics data 3) those who maintain and update data base of function annotation of particular model organisms (E. coli), which are frequently referred.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 268 | Sprache: Englisch | Produktart: Bücher | Protein Structure Prediction, Third Edition expands on previous editions by focusing on software and web servers. With new chapters that provide instructions on how to use a computational method with examples of prediction by the method. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials, step-by-step, readily reproducible protocols, and key tips on troubleshooting and avoiding known pitfalls.Authoritative and cutting-edge, Protein Structure Prediction, Third Edition provides diverse methods detailing the expansion of the computational protein structure prediction field.

Zustand: New. In.

Zustand: New. In.

Hardcover. Zustand: Brand New. 3rd edition. 253 pages. 10.00x7.25x1.00 inches. In Stock.

Zustand: New. Editor(s): Kihara, Daisuke. Series: Methods in Molecular Biology. Num Pages: 253 pages, 16 black & white illustrations, 48 colour illustrations, 7 black & white tables, biograph. BIC Classification: PSBC. Category: (P) Professional & Vocational. Dimension: 262 x 180 x 15. Weight in Grams: 634. . 2014. 3rd ed. 2014. hardcover. . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. 3rd reprint edition. 264 pages. 9.25x6.10x0.67 inches. In Stock.

Taschenbuch. Zustand: Neu. Protein Structure Prediction | Daisuke Kihara | Taschenbuch | xi | Englisch | 2016 | Humana | EAN 9781493944613 | Verantwortliche Person für die EU: Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Zustand: New. Editor(s): Kihara, Daisuke. Series: Methods in Molecular Biology. Num Pages: 264 pages, 16 black & white illustrations, 48 colour illustrations, 7 black & white tables, biograph. BIC Classification: PSBC. Category: (P) Professional & Vocational. Dimension: 254 x 178 x 14. Weight in Grams: 515. . 2016. Softcover reprint of the original. Paperback. . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Protein Structure Prediction, Third Edition expands on previous editions by focusing on software and web servers. With new chapters that provide instructions on how to use a computational method with examples of prediction by the method. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials, step-by-step, readily reproducible protocols, and key tips on troubleshooting and avoiding known pitfalls.Authoritative and cutting-edge, Protein Structure Prediction, Third Edition provides diverse methods detailing the expansion of the computational protein structure prediction field.

Zustand: Used. pp. 326.

Zustand: Used. pp. 326.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume presents established bioinformatics tools and databases for function prediction of proteins. Reflecting the diversity of this active field in bioinformatics, the chapters in this book discuss a variety of tools and resources such as sequence-, structure-, systems-, and interaction-based function prediction methods, tools for functional analysis of metagenomics data, detecting moonlighting-proteins, sub-cellular localization prediction, and pathway and comparative genomics databases. Writtenin the highly successfulMethods in Molecular Biologyseries format, chapters include introductions to their respective topics, step-by-step instructions of how to use software and web resources, use cases, and tips on troubleshooting and avoiding known pitfalls. Thorough and cutting-edge,Protein Function Prediction: Methods and Protocolsis a valuable and practical guide for using bioinformatics tools for investigating protein function.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume presents established bioinformatics tools and databases for function prediction of proteins. Reflecting the diversity of this active field in bioinformatics, the chapters in this book discuss a variety of tools and resources such as sequence-, structure-, systems-, and interaction-based function prediction methods, tools for functional analysis of metagenomics data, detecting moonlighting-proteins, sub-cellular localization prediction, and pathway and comparative genomics databases. Writtenin the highly successfulMethods in Molecular Biologyseries format, chapters include introductions to their respective topics, step-by-step instructions of how to use software and web resources, use cases, and tips on troubleshooting and avoiding known pitfalls. Thorough and cutting-edge,Protein Function Prediction: Methods and Protocolsis a valuable and practical guide for using bioinformatics tools for investigating protein function.

Zustand: New. In.

Hardcover. Zustand: Brand New. 239 pages. 10.25x7.25x0.75 inches. In Stock.

Zustand: New. In.

Zustand: New. 2018. Paperback. . . . . . Books ship from the US and Ireland.

Zustand: New. Editor(s): Kihara, Daisuke. Series: Methods in Molecular Biology. Num Pages: 292 pages, 11 black & white illustrations, 66 colour illustrations, biography. BIC Classification: PSBC. Category: (P) Professional & Vocational. Dimension: 254 x 178. . . 2017. 1st ed. 2017. Hardback. . . . . Books ship from the US and Ireland.

Hardcover. Zustand: Brand New. 2nd edition. 350 pages. 10.00x7.00x10.00 inches. In Stock.

Taschenbuch. Zustand: Neu. Protein Function Prediction for Omics Era | Daisuke Kihara | Taschenbuch | xiii | Englisch | 2014 | Springer | EAN 9789400799646 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Zustand: New. 2025. Second Edition 2025. hardcover. . . . . . Books ship from the US and Ireland.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Gene function annotation has been a central question in molecular biology. The importance of computational function prediction is increasing because more and more large scale biological data, including genome sequences, protein structures, protein-protein interaction data, microarray expression data, and mass spectrometry data, are awaiting biological interpretation. Traditionally when a genome is sequenced, function annotation of genes is done by homology search methods, such as BLAST or FASTA. However, since these methods are developed before the genomics era, conventional use of them is not necessarily most suitable for analyzing a large scale data. Therefore we observe emerging development of computational gene function prediction methods, which are targeted to analyze large scale data, and also those which use such omics data as additional source of function prediction.In this book, we overview this emerging exciting field. The authors have been selected from1) those who develop novel purely computational methods 2) those who develop function prediction methods which use omics data 3) those who maintain and update data base of function annotation of particular model organisms (E. coli), which are frequently referred.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Gene function annotation has been a central question in molecular biology. The importance of computational function prediction is increasing because more and more large scale biological data, including genome sequences, protein structures, protein-protein interaction data, microarray expression data, and mass spectrometry data, are awaiting biological interpretation. Traditionally when a genome is sequenced, function annotation of genes is done by homology search methods, such as BLAST or FASTA. However, since these methods are developed before the genomics era, conventional use of them is not necessarily most suitable for analyzing a large scale data. Therefore we observe emerging development of computational gene function prediction methods, which are targeted to analyze large scale data, and also those which use such omics data as additional source of function prediction. In this book, we overview this emerging exciting field. The authors have been selected from 1) those who develop novel purely computational methods 2) those who develop function prediction methods which use omics data 3) those who maintain and update data base of function annotation of particular model organisms (E. coli), which are frequently referred.