Kihara daisuke (35 Ergebnisse)

Hardcover. Zustand: New. 4th Edition.

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 English.

Zustand: New. In English.

Buch. 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.…

Taschenbuch. Zustand: Neu. Protein Structure Prediction | Daisuke Kihara | Taschenbuch | Methods in Molecular Biology | 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. …

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

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational techniques, such as machine learning, multi-task learning, protein language models, and deep learning, the book continues by covering specific tools for protein function prediction, ranging from gene ontology-term predictions to the predictions of binding sites, protein localization and solubility, signal peptides, intrinsic disorder, and intrinsically disordered binding regions, as well as presenting databases that address protein moonlighting and protein binding. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, step-by-step instructions on how to use software and web resources, use cases, and tips on troubleshooting and avoiding known pitfalls. Authoritative and up-to-date, Protein Function Prediction: Methods and Protocols, Second Edition helps readers to understand and appreciate this vibrant and growing research area and guides in the quest to identify and use the best computational methods and resources for their projects.…

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.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This thorough new edition explores web servers and software for protein structure prediction and modeling that are freely available to the academic community. Taking into account the numerous advances in the computational protein structure prediction/modeling field, the book includes residue-contact prediction via deep learning, a wide variety of protein docking models, as well as cryo-electron microscopy (cryo-EM) techniques. Written by renowned experts in the field and for the highly successful Methods in Molecular Biology series, chapters include the kind of key detail and implementation advice necessary for researchers to achieve optimal results in their own work.Authoritative and fully updated, Protein Structure Prediction, Fourth Edition is a practical and immediately useful guide for biology researchers working toward modeling protein structures.…

Zustand: New. In English.

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. Protein Function Prediction | Methods and Protocols | Lukasz Kurgan (u. a.) | Taschenbuch | Methods in Molecular Biology | xiv | Englisch | 2026 | Springer | EAN 9781071646649 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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.…

Taschenbuch. Zustand: Neu. Protein Structure Prediction | Daisuke Kihara | Taschenbuch | Methods in Molecular Biology | xii | Englisch | 2021 | Humana | EAN 9781071607107 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Zustand: Used. pp. 326.

Taschenbuch. Zustand: Neu. Protein Function Prediction | Methods and Protocols | Daisuke Kihara | Taschenbuch | Methods in Molecular Biology | x | Englisch | 2018 | Humana | EAN 9781493983681 | 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: Used. pp. 326.

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.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational techniques, such as machine learning, multi-task learning, protein language models, and deep learning, the book continues by covering specific tools for protein function prediction, ranging from gene ontology-term predictions to the predictions of binding sites, protein localization and solubility, signal peptides, intrinsic disorder, and intrinsically disordered binding regions, as well as presenting databases that address protein moonlighting and protein binding. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, step-by-step instructions on how to use software and web resources, use cases, and tips on troubleshooting and avoiding known pitfalls. Authoritative and up-to-date, Protein Function Prediction: Methods and Protocols, Second Edition helps readers to understand and appreciate this vibrant and growing research area and guides in the quest to identify and use the best computational methods and resources for their projects.…

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

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. …

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. In English.

Zustand: New. In English.

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. …

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.…