Large Scale Data Handling in Biology
by Karol Kozak
Publisher: BookBoon 2010
Number of pages: 53
This text is for scientists and students who are learning computational approaches to biology. The book covers the data storage system, computational approaches to biological problems, an introduction to workflow systems, data mining, data visualization, and tips for tailoring existing data analysis software to individual research needs.
Home page url
Download or read it online for free here:
by Sabu M. Thampi - arXiv
Bioinformatics is a new discipline that addresses the need to manage and interpret the data that was massively generated by genomic research. This discipline represents the convergence of genomics, biotechnology and information technology.
by Eugenia G. Giannopoulou - InTech
This book brings together the most recent advances of data mining research in the promising areas of medicine and biology. It consists of seventeen chapters which describe interesting applications, motivating progress and worthwhile results.
by Arthur Gruber, et al. - National Center for Biotechnology Information
This book is intended to serve both as a textbook for bioinformatics courses and as a base for self-teaching. Each chapter addresses a specific problem in bioinformatics and consists of a theoretical part and a tutorial with practical applications.
by Luke L. M. Heaton, at al. - arXiv
We present an algorithm for calculating the exact concentration of resource at any point in space or time, given that the resource in the network is lost or delivered out of the network at a given rate, while being subject to advection and diffusion.