Machine Learning in Biological Sciences by
This book gives an overview of applications of Machine Learning (ML) in diverse fields of biological sciences, including healthcare, animal sciences, agriculture, and plant sciences. Machine learning has major applications in process modelling, computer vision, signal processing, speech recognition, and language understanding and processing and life, and health sciences. It is increasingly used in understanding DNA patterns and in precision medicine. This book is divided into eight major sections, each containing chapters that describe the application of ML in a certain field. The book begins by giving an introduction to ML and the various ML methods. It then covers interesting and timely aspects such as applications in genetics, cell biology, the study of plant-pathogen interactions, and animal behavior. The book discusses computational methods for toxicity prediction of environmental chemicals and drugs, which forms a major domain of research in the field of biology. It is of relevance to post-graduate students and researchers interested in exploring the interdisciplinary areas of use of machine learning and deep learning in life sciences.
Bioimage Data Analysis Workflows by
This open access textbook aims at providing detailed explanations on how to design and construct image analysis workflows to successfully conduct bioimage analysis. Addressing the main challenges in image data analysis, where acquisition by powerful imaging devices results in very large amounts of collected image data, the book discusses techniques relying on batch and GPU programming, as well as on powerful deep learning-based algorithms. In addition, downstream data processing techniques are introduced, such as Python libraries for data organization, plotting, and visualizations. Finally, by studying the way individual unique ideas are implemented in the workflows, readers are carefully guided through how the parameters driving biological systems are revealed by analyzing image data. These studies include segmentation of plant tissue epidermis, analysis of the spatial pattern of the eye development in fruit flies, and the analysis of collective cell migration dynamics. The presented content extends the Bioimage Data Analysis Workflows textbook (Miura, Sladoje, 2020), published in this same series, with new contributions and advanced material, while preserving the well-appreciated pedagogical approach adopted and promoted during the training schools for bioimage analysis organized within NEUBIAS - the Network of European Bioimage Analysts. This textbook is intended for advanced students in various fields of the life sciences and biomedicine, as well as staff scientists and faculty members who conduct regular quantitative analyses of microscopy images.
RNA, the Epicenter of Genetic Information by
The origin story and emergence of molecular biology is muddled. The early triumphs in bacterial genetics and the complexity of animal and plant genomes complicate an intricate history. This book documents the many advances, as well as the prejudices and founder fallacies. It highlights the premature relegation of RNA to simply an intermediate between gene and protein, the underestimation of the amount of information required to program the development of multicellular organisms, and the dawning realization that RNA is the cornerstone of cell biology, development, brain function and probably evolution itself. Key personalities, their hubris as well as prescient predictions are richly illustrated with quotes, archival material, photographs, diagrams and references to bring the people, ideas and discoveries to life, from the conceptual cradles of molecular biology to the current revolution in the understanding of genetic information. Key Features Documents the confused early history of DNA, RNA and proteins - a transformative history of molecular biology like no other. Integrates the influences of biochemistry and genetics on the landscape of molecular biology. Chronicles the important discoveries, preconceptions and misconceptions that retarded or misdirected progress. Highlights major pioneers and contributors to molecular biology, with a focus on RNA and noncoding DNA. Summarizes the mounting evidence for the central roles of non-protein-coding RNA in cell and developmental biology. Provides a thought-provoking retrospective and forward-looking perspective for advanced students and professional researchers. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
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This guide is a compilation of the frequently used online resources for Biological Sciences in Qatar campus. For an extensive list of resources, check CMU Libraries guides and choose Biological Sciences from the Subjects list. If you have any questions or need support with your research activities, do not hesitate to email us. |
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The Journal of Visualized Experiments is a peer-reviewed scientific journal that publishes experimental methods in video format for science and engineering disciplines. The Science Education collection demonstrates how to use standard pieces of laboratory equipment and fundamental scientific protocols with easy-to-understand videos.
Academic database covering peer-reviewed journals, book series, and conference proceedings - includes scientific, medical, technical and social science topics, with emphasis on citation analysis. Scival feature requires registration but is free to CMU affiliates.
Essential journals, books, and reference works in many fields, primarily science, technology, mathematics, social science, psychology and business.
PubMed is a publicly available database for life science and biomedical citations and full-text articles. It is maintained by the United States National Library of Medicine.
QScience.com is a peer-reviewed open access online publishing platform from Hamad bin Khalifa University Press (HBKU Press).
KiltHub is a comprehensive institutional repository for Carnegie Mellon University. It curates, collects, preserves, and provides open access CMU research outputs.
The Public Library of Science (PLoS) publishes top-ranked open access journals in life and health sciences, including PloS One, PloS Biology, PLoS Computational Biology, and PLoS Pathogens. These journals and their articles are completely free to read on the open web.
