Michael Gribskov – författare

Computerized sequence analysis is an integral part of biotechnological research, yet many biologists have received no formal training in this important technology. Sequence Analysis Primer offers the necessary background to enter this exploding field and helps more seasoned researchers to fine-tune their approach. Compatible with most sequence analysis programs, the primer covers basic data manipulation, and offers valuable advice for overcoming common problems. A detailed example giving steps for characterizing a new gene sequence provides users with "hands-on" experience when combined with their current software.

Computerized sequence analysis is an integral part of biotechnological research, yet many biologists have received no formal training in this important technology. Sequence Analysis Primer offers the beginner the necessary background to enter this vital field and helps more seasoned researchers to fine-tune their approach. It covers basic data manipulation such as homology searches, stem-loop identification, and protein secondary structure prediction, and is compatible with most sequence analysis programs. A detailed example giving steps for characterizing a new gene sequence provides users with hands-on experience when combined with their current software. The book will be invaluable to researchers and students in molecular biology, genetics, biochemistry, microbiology, and biotechnology.

Covers the basic computer analyses used for new DNA sequences and attempts to provide the researcher with the necessary background in order to understand and use efficiently these programs.

Covers the basic computer analyses used for new DNA sequences and attempts to provide the researcher with the necessary background in order to understand and use efficiently these programs.

This book is a lab manual which can be integrated with bioinformatics course. The field of bioinformatics is advancing at a remarkable rate. With the development of new analytical techniques that make use of the latest advances in machine learning and data science, today’s biologists are gaining fantastic new insights into the natural world’s most complex systems. This book includes a lab-based manual that can assist students handling large biological data. It aims to help students and researchers understand (1) the importance of horizontal transfer in the spread of antibiotic resistance, and in biology more broadly; (2) how protein and nucleic acid sequences are used to determine phylogenetic trees and the genetic relationship between organisms; (3) how sequence comparisons can be used to infer protein function; and (4) how to analyze high-throughput sequencing data to do gene expression analysis. This book is valuable for researchers, teachers and students, as well as any readers who are interested in bioinformatics.