COMPUTATIONAL TEXT ANALYSIS FOR FUNCTIONAL GENOMICS AND BIOINFORMATICS (PB 2006)

RAYCHAUDHURI S.

ISBN 10: 0198567413 / ISBN 13: 9780198567417

Verlag: SP OXFORD UNIVERSITY PRESS, 2006

Beschreibung

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 7-11 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India,& United states & United Kingdom. Depending on your location and availability.

Bestandsnummer des Verkäufers CBS 9780198567417

Bibliografische Details

• Titel: COMPUTATIONAL TEXT ANALYSIS FOR FUNCTIONAL GENOMICS AND BIOINFORMATICS (PB 2006)
• Verlag: SP OXFORD UNIVERSITY PRESS
• Erscheinungsjahr: 2006
• Sprache: Englisch
• ISBN-10: 0198567413
• ISBN-13: 9780198567417
• Einband: Softcover
• Auflage: Internationale Ausgabe
• Zustand: Brand New

Über diesen Titel

Inhaltsangabe

This book brings together the two disparate worlds of computational text analysis and biology and presents some of the latest methods and applications to proteomics, sequence analysis and gene expression data.

Reseña del editor

This book brings together the two disparate worlds of computational text analysis and biology and presents some of the latest methods and applications to proteomics, sequence analysis, and gene expression data. Modern genomics generates large and comprehensive data sets but their interpretation requires an understanding of a vast number of genes, their complex functions, and interactions. Keeping up with the literature on a single gene is a challenge itself — for thousands of genes it is simply impossible! Here, Soumya Raychaudhuri presents the techniques and algorithms needed to access and utilize the vast scientific text, i.e. methods that automatically "read" the literature on all the genes. Including background chapters on the necessary biology, statistics, and genomics, in addition to practical examples of interpreting many different types of modern experiments, this book is ideal for students and researchers in computational biology, bioinformatics, genomics, statistics and computer science.