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Tag: biotechnology
R for Biologists: Learn R programming from scratch | No prior coding experience required | An absolute beginner’s guide (Biotechnology Books)
Price: $22.99
(as of Dec 24,2024 18:38:29 UTC – Details)
Publisher : Roohi Bansal (August 15, 2024)
Language : English
Paperback : 480 pages
ISBN-10 : 9334098767
ISBN-13 : 978-9334098761
Item Weight : 1.77 pounds
Dimensions : 6 x 1.09 x 9 inches
Are you a biologist looking to enhance your data analysis skills? Look no further! Our new book, “R for Biologists: Learn R programming from scratch,” is the perfect guide for beginners with no prior coding experience.In this comprehensive guide, you will learn the basics of R programming, including data manipulation, visualization, and statistical analysis. With step-by-step instructions and real-world examples, you will quickly master the fundamentals of R and be able to apply them to your own research projects.
Whether you are a student, researcher, or industry professional, this book will provide you with the essential tools to analyze and interpret biological data effectively. Don’t let your lack of coding experience hold you back – start learning R today and take your data analysis skills to the next level.
Get your copy of “R for Biologists: Learn R programming from scratch” now and unlock the power of R for your biotechnology research!
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Biotechnology Step by Step: A Guide to the Intersection of Biology, Medicine, Technology & Engineering (Step By Step Subject Guides)
Price: $14.99
(as of Dec 24,2024 07:03:01 UTC – Details)
ASIN : B0DP7FCX93
Publisher : Independently published (November 27, 2024)
Language : English
Paperback : 148 pages
ISBN-13 : 979-8301554506
Item Weight : 9.9 ounces
Dimensions : 6 x 0.34 x 9 inches
Biotechnology Step by Step: A Guide to the Intersection of Biology, Medicine, Technology & Engineering (Step By Step Subject Guides)Biotechnology is a rapidly evolving field that combines principles of biology, medicine, technology, and engineering to create innovative solutions for a wide range of industries. Whether you are a student, researcher, or simply interested in learning more about this fascinating field, this step-by-step guide will provide you with the essential information you need to understand the basics of biotechnology.
In this guide, we will cover the following topics:
1. Introduction to Biotechnology: Learn about the history and fundamentals of biotechnology, including its applications in various industries such as healthcare, agriculture, and environmental science.
2. Biology Basics: Understand the basic concepts of biology that are essential for understanding biotechnology, including cell biology, genetics, and molecular biology.
3. Technology and Engineering: Explore the technological and engineering principles that are used in biotechnology, such as bioinformatics, genetic engineering, and bioprocessing.
4. Applications of Biotechnology: Discover how biotechnology is being used to develop new drugs, genetically modified organisms, biofuels, and more.
5. Ethical and Social Implications: Consider the ethical and social implications of biotechnology, including concerns about genetic engineering, bioterrorism, and privacy issues.
Whether you are looking to pursue a career in biotechnology or simply want to learn more about this exciting field, this guide will provide you with a comprehensive overview of the intersection of biology, medicine, technology, and engineering. Stay tuned for more in-depth articles on each topic covered in this guide!
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Deep Learning for Genomics: Data-driven approaches for genomics applications in life sciences and biotechnology
Price:$44.99– $39.99
(as of Dec 17,2024 09:21:52 UTC – Details)
Publisher : Packt Publishing (November 11, 2022)
Language : English
Paperback : 270 pages
ISBN-10 : 1804615447
ISBN-13 : 978-1804615447
Item Weight : 1.06 pounds
Dimensions : 9.25 x 7.52 x 0.57 inches
Deep learning has revolutionized many industries, including the field of genomics. By using data-driven approaches, researchers in the life sciences and biotechnology sectors are able to extract valuable insights from vast amounts of genomic data.Genomics is the study of an organism’s complete set of DNA, including all of its genes. This field has immense potential for applications in medicine, agriculture, and environmental science. With the advancements in high-throughput sequencing technologies, researchers can now generate massive amounts of genomic data in a short amount of time.
Deep learning algorithms, such as convolutional neural networks and recurrent neural networks, have shown great promise in analyzing and interpreting this complex genomic data. These algorithms are able to learn patterns and relationships within the data, allowing researchers to make predictions and identify potential targets for further study.
In the field of medicine, deep learning for genomics has the potential to revolutionize personalized medicine. By analyzing an individual’s genetic makeup, researchers can predict disease risk, tailor treatments to specific genetic profiles, and develop new therapies targeted at specific genetic mutations.
In agriculture, deep learning for genomics can help breeders develop crops with improved yield, disease resistance, and nutritional content. By analyzing the genetic diversity of different plant species, researchers can identify genes responsible for desirable traits and use this information to breed new varieties with enhanced characteristics.
In environmental science, deep learning for genomics can help researchers understand the impact of climate change on biodiversity, track the spread of invasive species, and monitor the health of ecosystems. By analyzing the genetic diversity of different species, researchers can assess the resilience of ecosystems and develop strategies for conservation and restoration.
Overall, deep learning for genomics holds tremendous potential for advancing research in the life sciences and biotechnology sectors. By harnessing the power of data-driven approaches, researchers can unlock new insights into the genetic basis of life and develop innovative solutions to complex challenges in health, agriculture, and the environment.
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