Kevin Byron, Katherine G. Herbert, Jason T. L. Wang

Bioinformatics Database Systems (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This book explains the world of database systems to bioinformatics and cheminformatics database users. It begins with a survey of popular databases, including primary genetic and protein sequence, phylogenetic, structure and pathway, and microarray databases. The text discusses information management and modeling issues in these databases, addressing data quality issues as well as efforts in the data cleaning field to combat such problems. From drug discovery to the structure of various molecular components of the cell, the authors present new applications and case studies illustrating concepts in database systems.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 290
• Erscheinungstermin: 19. Dezember 2016
• Englisch
• ISBN-13: 9781315388083
• Artikelnr.: 47509503

Autorenporträt

Kevin Byron is a PhD candidate in the Department of Computer Science at the New Jersey Institute of Technology.

Katherine G. Herbert is Associate Professor of Computer Science at Montclair State University.

Jason T.L. Wang is Professor of Bioinformatics and Computer Science at the New Jersey Institute of Technology.

Inhaltsangabe

OVERVIEW OF BIOINFORMATICS DATABASES. Introduction. Sequence Databases.
Phylogenetic Databases. Structure And Pathway Databases. Microarray And
Boutique Bioinformatics Databases. BIOLOGICAL DATA CLEANING. Introduction.
General Data Cleaning. A Case Study In Biological Data Cleaning.
BIOLOGICAL DATA INTEGRATION. Introduction. General Data Integration. Three
Areas In Biological Data Integration. BIOLOGICAL DATA SEARCHING.
Introduction. Biological Data Searching Using Blast. Biological Data
Searching Using The Ucsc. Genome Browser And Blat. A Case Study In
Phylogenetic Tree Database Search. A Case Study In Rna Pseudoknot Database
Search. BIOLOGICAL DATA MINING. Introduction. General Data Mining.
Biological Data Mining. A Case Study In Biological Pattern Discovery. A
Case Study In Biological Data Mining. BIOLOGICAL NETWORK INFERENCE.
Introduction. Gene Regulatory Network Inference. CLOUD-BASED BIOLOGICAL
DATA PROCESSING. Introduction. Data Processing In The Cloud. Biological
Data. Processing In The Cloud