This textbook introduces fundamental concepts of bioinformatics and computational biology to the students and researchers in biology, medicine, veterinary science, agriculture, and bioengineering . The respective chapters provide detailed information on biological databases, sequence alignment, molecular evolution, next-generation sequencing, systems biology, and statistical computing using R. The book also presents a case-based discussion on clinical, veterinary, agricultural bioinformatics, and computational bioengineering for application-based learning in the respective fields. Further, it offers readers guidance on reconstructing and analysing biological networks and highlights computational methods used in systems medicine and genome-wide association mapping of diseases. Given its scope, this textbook offers an essential introductory book on bioinformatics and computational biology for undergraduate and graduate students in the life sciences, botany, zoology, physiology, biotechnology, bioinformatics, and genomic science as well as systems biology, bioengineering and the agricultural, and veterinary sciences.
The book provides comprehensive information on a wide range of topics from biology, physiology, genetics to the use of genomic tools in weed science. The book covers information at a more advanced level than the previously published books in weed science. It covers not only weed genetics and genomics research, but also weed management from an ecological perspective. Furthermore, the book also gives a broad coverage of novel mechanisms of weed resistance to herbicides. More importantly, it includes next generation sequencing techniques and bioinformatics of herbicide resistant genes in weeds.
On 800 pages this textbook provides students and professionals in life sciences, pharmacy and biochemistry with a very detailed introduction to molecular and cell biology, including standard techniques, key topics, and biotechnology in industry.
DNA and RNA extraction methods from a variety of tissues and samples are now routine, including extraction from single cells. Many methods are now automated. Sequencing efficiency has reached the point where it is now possible to obtain gigabases of data, both quickly and inexpensively. Such methods permit the identification of gene versions, including those associated with disease (e.g. small nucleotide polymorphism analyses, or SNPs). The general public as well as clinicians can now access a wide variety of literature on the molecular bases of diseases, allowing them to better assess disease risks and treatments. This volume concentrates on medically-focused methods, and therefore the major audience will be medical professionals, students, and those involved in medically-related research endeavors. There are also papers in this volume dealing specifically with methods developed to analyze large sequence data sets. Many methods reviewed herein are more broadly applicable to other fields in biology, chemistry, bioinformatics, and bioengineering, and are intended for a broad readership. Key Features Summarizes nucleic acid extractions from a wide variety of tissues and cells Describes processes of nucleic acid preservation Reviews forensic sampling, detection of nucleic acids, and delivery of nucleic acids to multicellular organisms Provides essential guidance for sequencing, sequence analysis, database searches, and phylogenetic analyses Includes additional methods useful for analysis of nucleic acids and proteins Related Titles DeSalle, et al. Phylogenomics: A Primer (ISBN 978-0-3670-2849-7). Jennings, W. B. Phylogenomic Data Acquisition: Principles and Practice (ISBN 978-0-3678-6980-9). Wang, X. Next-Generation Sequencing Data Analysis (ISBN 978-1-4822-1788-9) Sung, W.-K. Algorithms for Next-Generation Sequencing (ISBN 978-0-3676-5797-0)
Unique in in its focus on eukaryotic molecular biology, this textbook provides a distillation of the essential concepts of molecular biology, supported by current examples, experimental evidence, and boxes that address related diseases, methods, and techniques. End-of-chapter analytical questions are well designed and will enable students to apply the information they learned in the chapter. A supplementary website include self-tests for students, resources for instructors, as well as figures and animations for classroom use.
Black & white print. Concepts of Biology is designed for the typical introductory biology course for nonmajors, covering standard scope and sequence requirements. The text includes interesting applications and conveys the major themes of biology, with content that is meaningful and easy to understand. The book is designed to demonstrate biology concepts and to promote scientific literacy.