Predictive Methods for Genomics and Evolution (eBook)
268 Seiten
Wiley (Verlag)
978-1-394-31744-8 (ISBN)
Innovative title providing a systematic account of new alignment-free methods in genomics and bioinformatics, emphasizing their potential to add predictive capabilities to address major and current questions in the science of biology
Predictive Methods for Genomics and Evolution provides a cohesive overview of major alignment-based and alignment-free methods in genomics and bioinformatics, primarily based on DNA/RNA. Throughout the book, contrasts between current conventional methods and novel alignment-free methods are presented and evaluated across a wide range of topics.
Written by a team of experienced academics with significant research experience in the field, Predictive Methods for Genomics and Evolution discusses major topics including:
- Major unresolved problems in biology including the most fundamental concept of species, the nature of evolution and speciation, phylogenetic inference, pathogenicity, and the origin of life
- Novel interpretations of current hypotheses from a biological perspective with wide-ranging applications in bioinformatics and medicine
- Insights on the shift in the research status quo towards a wider application of more efficient alignment-free methodologies, fueled by the increased availability of data, deeper knowledge of DNA/RNA structure and powerful methods from the fields of machine learning and data science.
Predictive Methods for Genomics and Evolution is an essential guide on the subject for professionals, academics, researchers, and students within the fields of genomics, evolutionary biology, phylogenetics and taxonomy, and computational biology and bioinformatics, as well as medical practitioners in related fields.
A companion website for this text can be found here: bmc.memphis.edu/predBiology
Max Garzon is Professor of computer science and bioinformatics at the University of Memphis, where he teaches both undergraduate and graduate courses in data science, neurocomputing, bioinformatics, foundations of computing and cyber ethics.
Luis F. García is an Associate Professor at the National University of Colombia, where he teaches and advises both undergraduate and graduate students in evolution, molecular systematics, phylogenetics, genetics and computational biology.
Alexander Colorado is a researcher and educator who has spent doctoral stays at Clemson University and the University of Alberta, Canada, and served as mentor in programs for aspiring young biologists in Colombia. His main research interest is the integrative taxonomy of black flies (Diptera: Simuliidae).
Innovative title providing a systematic account of new alignment-free methods in genomics and bioinformatics, emphasizing their potential to add predictive capabilities to address major and current questions in the science of biology Predictive Methods for Genomics and Evolution provides a cohesive overview of major alignment-based and alignment-free methods in genomics and bioinformatics, primarily based on DNA/RNA. Throughout the book, contrasts between current conventional methods and novel alignment-free methods are presented and evaluated across a wide range of topics. Written by a team of experienced academics with significant research experience in the field, Predictive Methods for Genomics and Evolution discusses major topics including: Major unresolved problems in biology including the most fundamental concept of species, the nature of evolution and speciation, phylogenetic inference, pathogenicity, and the origin of life Novel interpretations of current hypotheses from a biological perspective with wide-ranging applications in bioinformatics and medicine Insights on the shift in the research status quo towards a wider application of more efficient alignment-free methodologies, fueled by the increased availability of data, deeper knowledge of DNA/RNA structure and powerful methods from the fields of machine learning and data science. Predictive Methods for Genomics and Evolution is an essential guide on the subject for professionals, academics, researchers, and students within the fields of genomics, evolutionary biology, phylogenetics and taxonomy, and computational biology and bioinformatics, as well as medical practitioners in related fields. A companion website for this text can be found here: bmc.memphis.edu/predBiology
| Erscheint lt. Verlag | 15.10.2025 |
|---|---|
| Sprache | englisch |
| Themenwelt | Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie |
| Schlagworte | alignment based genomics • alignment free genomics • bioinformatics alignment based • bioinformatics alignment free • Computational Biology • DNA Alignment • evolutionary biology • Pathogenicity • phylogenetic inference • rna alignment |
| ISBN-10 | 1-394-31744-1 / 1394317441 |
| ISBN-13 | 978-1-394-31744-8 / 9781394317448 |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
PDF (Adobe DRM)Kopierschutz: Adobe-DRM
Adobe-DRM ist ein Kopierschutz, der das eBook vor Mißbrauch schützen soll. Dabei wird das eBook bereits beim Download auf Ihre persönliche Adobe-ID autorisiert. Lesen können Sie das eBook dann nur auf den Geräten, welche ebenfalls auf Ihre Adobe-ID registriert sind.
Details zum Adobe-DRM
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen eine
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen eine
Geräteliste und zusätzliche Hinweise
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich
