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OverviewThis book is a practical guide for biologists who use multiple sequence alignments (MSAs) for their data analysis and are looking for a comprehensive overview of the many different programs. Despite their important role in data analysis, there is uncertainty among researchers about exactly how MSA programs work - not to mention how and why the different analyzes lead to different results. Which program is the right one for evaluating my data and how can I ensure that I have drawn all relevant findings from the alignments? This book offers helpful explanations and background information without requiring extensive bioinformatics knowledge and slowly introduces the reader to the topic.In the first part of the book, the possible fields of application as well as the formats that are usually produced by MSA programs are described in detail. The central algorithms as well as the internal processes of the most common MSA programs of the past and the present are also explainedin an uncomplicated manner in greater detail. The second part of the book is a detailed, data-based comparison between MSA programs, which is intended to help you decide which program to use for your next alignment. Full Product DetailsAuthor: Theodor SperleaPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: 1st ed. 2022 Weight: 0.191kg ISBN: 9783662644720ISBN 10: 366264472 Pages: 103 Publication Date: 19 February 2022 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsReviewsAuthor InformationTheodor Sperlea studied biology and molecular and cellular biology in Marburg with a focus on microbiology and genetics. Early on in his studies, he had the first contact with MSAs as a tool for studying evolutionary relationships between genes in different organisms. Through his doctorate, in which he examined the ecology of microorganisms in lakes using statistical and bioinformatic methods, he was able to gain a deeper insight into the IT side and thus the functioning of MSA programs. Tab Content 6Author Website:Countries AvailableAll regions |