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Condizione: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Hardcover. Condizione: Near Fine. No Jacket. Binding Tight Pages Clean Light Edge Wear No Dust Jacket Previous Owner's Name On First Page. Book.

Hardcover. Condizione: Bon. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Ammareal gives back up to 15% of this item's net price to charity organizations.

Condizione: Very Good. Very good condition paperback with minimal wear. Contents are clean and bright throughout with no markings.

Soft cover. Condizione: As New. 1st Edition. Stiff color pictorial wraps, French flaps. 180 pp., color photos. As issued. Text in English (translated from original Swedish). Very scarce. Size: 8vo - over 7¾" - 9¾" tall. Book.

Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

576 s. Förlagets illustrerade pappband. Fint ex. Fallstudier i svensk sakprosa från mitten av 1700-talet fram till år 2000.

Condizione: New. In English.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New.

Condizione: New. Print on Demand.

Condizione: New.

Condizione: New. Print on Demand.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

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Malmö: Arena, 2018. 320 s. Rikt illustrerad. Trådhäftad med flikomslag. Förlagsny. 24 x 15,5 cm.[#\138082].

Paperback. Condizione: new. Paperback. This book is intended to be the first volume in a series of books, "Lessons in Bioinformatics", on fundamental concepts and methods in bioinformatics. Each book will focus on a single topic, which is explained in a comprehensive and detailed, yet easy-to-read, format. The books are primarily addressed towards beginner bioinformaticians who are building up a broad base of knowledge and skills. Previous knowledge of bioinformatics is not assumed, so everything covered in this text should be easy to understand even if it is the first book you read on bioinformatics.The current volume covers the topic of dot plots, starting with a basic introduction to what dot plots are and how a simple dot matrix is generated. The text thereafter gradually progresses towards more advanced methods with numerous examples explaining each new concept that is introduced, for example, the use of sliding windows and substitution matrices. It shows how dot plots can be used to identify inserts and deletes, repeat regions, compositional bias, and domain structure in protein sequences. When applied to the study of genome sequences, the algorithms used by modern dot plot software are more complex, since analysis of very long sequences - consisting of up to hundreds of millions or even a few billion symbols - is far too slow unless the algorithms are cleverly designed to be very fast. Recently published dot plot software for genome sequence analysis therefore relies on advanced concepts such as position trees, suffix arrays and minimizers. The book attempts to explain these algorithmic ideas in a reasonably easy way, to make them accessible to readers regardless of academic background. The final chapters of the book present application examples from research articles and show step-by-step how the dot plots shown in the journal articles can be reproduced by the reader. At the very end, the final chapter gives an overview of the history of research on dot plot algorithms, from the 1970s to the present day. This gives a historical perspective of how algorithms have advanced from the time when short sequences of a few hundred symbols were painstakingly analyzed by the slow computers of that time, or even by hand with pen and paper, to the powerful dot plot tools used today, that can compare medium-sized genomes in a matter of seconds or two eukaryote genomes containing over a billion symbols in a few minutes.If you find this book useful, then look out for upcoming titles in the same series, "Lessons in Bioinformatics", which are intended to cover the fundamental topics that every bioinformatician should master. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is intended to be the first volume in a series of books, 'Lessons in Bioinformatics', on fundamental concepts and methods in bioinformatics. Each book will focus on a single topic, which is explained in a comprehensive and detailed, yet easy-to-read, format. The books are primarily addressed towards beginner bioinformaticians who are building up a broad base of knowledge and skills. Previous knowledge of bioinformatics is not assumed, so everything covered in this text should be easy to understand even if it is the first book you read on bioinformatics.The current volume covers the topic of dot plots, starting with a basic introduction to what dot plots are and how a simple dot matrix is generated. The text thereafter gradually progresses towards more advanced methods with numerous examples explaining each new concept that is introduced, for example, the use of sliding windows and substitution matrices. It shows how dot plots can be used to identify inserts and deletes, repeat regions, compositional bias, and domain structure in protein sequences.When applied to the study of genome sequences, the algorithms used by modern dot plot software are more complex, since analysis of very long sequences - consisting of up to hundreds of millions or even a few billion symbols - is far too slow unless the algorithms are cleverly designed to be very fast. Recently published dot plot software for genome sequence analysis therefore relies on advanced concepts such as position trees, suffix arrays and minimizers. The book attempts to explain these algorithmic ideas in a reasonably easy way, to make them accessible to readers regardless of academic background.The final chapters of the book present application examples from research articles and show step-by-step how the dot plots shown in the journal articles can be reproduced by the reader. At the very end, the final chapter gives an overview of the history of research on dot plot algorithms, from the 1970s to the present day. This gives a historical perspective of how algorithms have advanced from the time when short sequences of a few hundred symbols were painstakingly analyzed by the slow computers of that time, or even by hand with pen and paper, to the powerful dot plot tools used today, that can compare medium-sized genomes in a matter of seconds or two eukaryote genomes containing over a billion symbols in a few minutes.If you find this book useful, then look out for upcoming titles in the same series, 'Lessons in Bioinformatics', which are intended to cover the fundamental topics that every bioinformatician should master.

Taschenbuch. Condizione: Neu. Lessons in Bioinformatics - Dot Plots | Björn Olsson | Taschenbuch | Lessons in Bioinformatics | Englisch | 2025 | Björn Olsson | EAN 9789199033013 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.