Bioinformatics Scientist The Comprehensive Guide
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Bioinformatics Scientist- The Comprehensive Guide
Dive into the groundbreaking realm of bioinformatics with "Bioinformatics Scientist- The Comprehensive Guide," your ultimate resource for mastering the intricacies of biological data analysis. This guide demystifies the complex world of genetic codes, protein databases, and computational biology, providing an unparalleled journey into the heart of modern biology. Without the need for images or illustrations, the book focuses purely on the rich, detailed narrative and insightful analyses, ensuring an engaging and immersive reading experience. Whether you're a budding scientist, a seasoned researcher, or simply a curious mind, this book promises to transform your understanding of biology, offering a fresh perspective on how data can unlock the mysteries of life itself. In an era where information is abundant yet clarity is scarce, this comprehensive guide stands out by not only covering the technical aspects of bioinformatics but also by connecting the dots between computational techniques and their real-world applications in solving biological problems. Through vivid hypothetical scenarios and personal anecdotes from experts in the field, readers are taken on a captivating journey from the basics of DNA sequencing to the forefront of genetic research. The book emphasizes the critical role of bioinformatics in advancing healthcare, environmental conservation, and our understanding of evolution, making it an essential addition to the library of anyone looking to make a mark in the biological sciences.
Bioinformatics
INTRODUCTION (Paul H. Dear) 1. Database resources for wet-bench scientists (Neil Hall and Lynn Schriml) 2. Navigating sequenced genomes (Melody Clark and Thomas Schlitt) 3. Sequence similarity searches (Jaap Heringa and Walter Pirovano) 4. Gene prediction (Marie-Adele Rajandream) 5. Prediction of non coding transcripts (Alex Bateman and Sam Griffiths-Jones) 6. Finding regulatory elements in DNA sequence (Debraj GuhaThakurta and Gary Stormo) 7. Expressed sequence tags (Arthur Gruber) 8. Protein structure, classification and prediction (Arthur Lesk) 9. Gene ontology (Vineet Sangar) 10. Prediction of protein function (Rodrigo Lopez) 11. Multiple sequence alignment (Burkhard Morgenstern) 12. Inferring phylogenetic relationships from sequence data (Peter Foster) Appendix Index