bioinformatics practical guide analysis (85 resultados)

Hardcover. Condición: Très bon. Ancien livre de bibliothèque. Edition 2004. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2004. Ammareal gives back up to 15% of this item's net price to charity organizations.

Paperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Paperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.55.

Condición: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In poor condition, suitable as a reading copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1150grams, ISBN:

Hardcover. Condición: Very Good. Estado de la sobrecubierta: Very Good. Second Edition. 0471383902. Pictorial board hardcover, from closed pharmaceutical company library. Lending record shows this book has been borrowed twice only. 470 pages, index, glossary, illustrated with photos, charts, tables and diagrams. Basic concepts, with practical discussion and comparisons of computational tools and databases relevant to biological research. This Second Edition covers the broad spectrum of topics in bioinformatics, ranging from Internet concepts to predictive algorithms used on sequence, structure, and expression data. Written in clear, simple language, the book is accessible to users without an advanced mathematical or computer science background. Contents clean, tight and bright. Book.

Hardcover. Condición: Good. No Jacket. First Edition. Hardcover edition. Former library book with stamps and a cardholder. The covers show light shelf wear. There are two small splits in the cloth at the head of the spine. The binding is tight. The interior pages are clean and unmarked. Electronic delivery tracking will be issued free of charge.

Condición: New. In.

paperback. Condición: New. Language:Chinese.Pages Number: 336 Publisher: Tsinghua University Pub. Date :2000-08-01 First Edition 2003 -10-01.

Condición: New.

Hardcover. Condición: New. 4th Edition. Brand New US Edition textbook. Ship from Multiple Locations, including Asia , Hong Kong ,Taiwan , US or Canada depend on stock location.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Practical Guide to Developing Bioinformatics Pipelines for Data Analysis presents a hands-on guide for bioinformatics professionals seeking to develop and implement effective pipelines for data analysis. By examining the complex relationships between data formats, algorithms, and computational resources, this book provides a comprehensive guide for designing and implementing efficient and scalable bioinformatics pipelines. From sequence analysis to genome assembly, this book showcases innovative examples of bioinformatics pipeline development and offers practical advice for optimizing data analysis workflows. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Paperback. Condición: new. Paperback. A Practical Guide to Bioinformatics is suitable for advanced undergraduates and postgraduates. It takes a practical approach rather than conceptual approach and is an invaluable companion for students from their first encounter with the subject through to more advanced studies. The extensive and full-color artworks are designed to present the key concepts with simplicity, clarity and consistency. This book begins with discussing how to manage the data archives securely (Chapter 1). Data is one of the major and necessary components for bioinformatics analysis. This chapter gives us an overview of how we can protect our data. Among all kinds of bio-data, microarray data is arguably one of the most powerful and widely-use data. Chapter 2 to Chapter 4 discusses what we can do on top of microarray data. Besides microarray data analysis, network analysis is another very important research area. Chapter 5 to Chapter 7 extends the use of microarray data and focuses on network analysis in three different topics, namely, gene regulatory network, fuzzy gene network and metabolic network. Apart from analysis, annotating and browsing gene sequences is an area that we should never ignore. Chapter 8 to Chapter 9 discusses this important area. The rest of the book discusses some interesting and emerging topics in bioinformatics, which includes meiotic recombination hotspots (Chapter 10), primer and probe design for genome-wide DNA (Chapter 11), single nucleotide polymorphism analysis (Chapter 12), gene transcription regulation (Chapter 13), and protein-protein interaction network comparison (Chapter 14). Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condición: New.

Paperback. Condición: New. New. book.