Bioinformatics for Plant Research and Crop Breeding
Bioinformatics for Plant Research and Crop Breeding
Buch
- Herausgeber: Jen-Tsung Chen
Lieferzeit beträgt mind. 4 Wochen
(soweit verfügbar beim Lieferanten)
(soweit verfügbar beim Lieferanten)
EUR 248,26*
Verlängerter Rückgabezeitraum bis 31. Januar 2025
Alle zur Rückgabe berechtigten Produkte, die zwischen dem 1. bis 31. Dezember 2024 gekauft wurden, können bis zum 31. Januar 2025 zurückgegeben werden.
- John Wiley & Sons Inc, 10/2024
- Einband: Gebunden
- Sprache: Englisch
- ISBN-13: 9781394209934
- Bestellnummer: 11879893
- Umfang: 608 Seiten
- Gewicht: 1276 g
- Maße: 248 x 176 mm
- Stärke: 36 mm
- Erscheinungstermin: 17.10.2024
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
Explore and advance bioinformatics and systems biology tools for crop breeding programs in this practical resource for researchersPlant biology and crop breeding have produced an immense amount of data in recent years, from genomics to interactome and beyond. Bioinformatics tools, which aim at analyzing the vast quantities of data produced by biological research and processes, have developed at a rapid pace to meet the challenges of this vast data trove. The resulting field of bioinformatics and systems biology is producing increasingly rich and transformative research.
Bioinformatics for Plant Research and Crop Breeding offers an overview of this field, its recent advances, and its wider applications. Drawing on a range of analytical and data-science tools, its foundation on an in-silico platform acquired multi-omics makes it indispensable for scientists and researchers alike. It promises to become ever more relevant as new techniques for generating and organizing data continue to transform the field.
Bioinformatics for Plant Research and Crop Breeding readers will also find:
A focus on emerging trends in plant science, sustainable agriculture, and global food security
Detailed discussion of topics including plant diversity, plant stresses, nanotechnology in agriculture, and many others
Applications incorporating artificial intelligence, machine learning, deep learning and more
Bioinformatics for Plant Research and Crop Breeding is ideal for researchers and scientists interested in the potential of OMICs, and bioinformatic tools to aid and develop crop improvement programs.