Computational Biology / ASM (ePub)
A Hypertextbook
(Sprache: Englisch)
This textbook is for anyone who needs to learn the basics of bioinformatics--the use of computational methods to better understand biological systems. Computational Biology covers the principles and applications of the computational methods used to study...
sofort als Download lieferbar
eBook (ePub)
69.99 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Computational Biology / ASM (ePub)“
This textbook is for anyone who needs to learn the basics of bioinformatics--the use of computational methods to better understand biological systems. Computational Biology covers the principles and applications of the computational methods used to study DNA, RNA, and proteins, including using biological databases such as NCBI and UniProt; performing BLAST, sequence alignments, and structural predictions; and creating phylogenetic trees. It includes a primer that can be used as a jumping off point for learning computer programming for bioinformatics.
This text can be used as a self-study guide, as a course focused on computational methods in biology/bioinformatics, or to supplement general courses that touch on topics included within the book. Computational Biology's robust interactive online components "gamify" the study of bioinformatics, allowing the reader to practice randomly generated problems on their own time to build confidence and skill and gain practical real-world experience. The online component also assures that the content being taught is up to date and accurately reflects the ever-changing landscape of bioinformatics web-based programs.
This text can be used as a self-study guide, as a course focused on computational methods in biology/bioinformatics, or to supplement general courses that touch on topics included within the book. Computational Biology's robust interactive online components "gamify" the study of bioinformatics, allowing the reader to practice randomly generated problems on their own time to build confidence and skill and gain practical real-world experience. The online component also assures that the content being taught is up to date and accurately reflects the ever-changing landscape of bioinformatics web-based programs.
Autoren-Porträt von Scott T. Kelley, Dennis Didulo
Scott T. Kelley is a professor of biology at San Diego State University. He received his doctoral degree from the University of Colorado and his bachelor's degree from Cornell University. His lab uses phylogenetic methods and culture-independent molecular tools to study environmental microbiology, and Kelley has published extensively on the human microbiome, built environment, and numerous natural environments.Dennis Didulo is a data analytics and software engineer working at Becton, Dickinson and Company. He received his master's degree in information technology at De La Salle University and his second master's degree in bioinformatics at San Diego State University. He has development expertise in more than a dozen computer languages, as well as in database management, algorithm design, and systems engineering.
Bibliographische Angaben
- Autoren: Scott T. Kelley , Dennis Didulo
- 2018, 1. Auflage, 210 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1683673034
- ISBN-13: 9781683673033
- Erscheinungsdatum: 01.01.2018
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 59 MB
- Mit Kopierschutz
Sprache:
Englisch
Kopierschutz
Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.
Kommentar zu "Computational Biology / ASM"
0 Gebrauchte Artikel zu „Computational Biology / ASM“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Computational Biology / ASM".
Kommentar verfassen