Essential Computing Skills For Biologists

Ziling Wang; Lishu Zhang

ISBN 10: 1848169248 / ISBN 13: 9781848169241

Edité par Imperial College Press, 2018

A propos de cet article

This is a handbook of methods and protocols for biologists. It aimed at undergraduate, graduate students and researchers originally trained in biological or medical sciences who need to know how to access the data archives of genomes, proteins, metabolites, gene expression profiles and the questions these data and tools can answer. For each chapter, the conceptual and experimental background is provided, together with specific guidelines for handling raw data, including preprocessing and analysis.The content is structured into three parts. Part one introduces basic knowledge about popular bioinformatics tools, databases and web resources. Part two presents examples of omics bioinformatics applications. Part three provides basic statistical analysis skills and programming skills needed to handle and analyze omics datasets.

N° de réf. du vendeur LU-9781848169241

Détails bibliographiques

• Titre: Essential Computing Skills For Biologists
• Éditeur: Imperial College Press
• Date de parution: 2018
• Langue: anglais
• ISBN à 10 chiffres: 1848169248
• ISBN à 13 chiffres: 9781848169241
• Reliure: Hardback
• État de l'article: New

A propos de ce titre

Synopsis

This is a handbook of methods and protocols for biologists. It aimed at undergraduate, graduate students and researchers originally trained in biological or medical sciences who need to know how to access the data archives of genomes, proteins, metabolites, gene expression profiles and the questions these data and tools can answer. For each chapter, the conceptual and experimental background is provided, together with specific guidelines for handling raw data, including preprocessing and analysis.

The content is structured into three parts. Part one introduces basic knowledge about popular bioinformatics tools, databases and web resources. Part two presents examples of omics bioinformatics applications. Part three provides basic statistical analysis skills and programming skills needed to handle and analyze omics datasets.