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Advances in Genomic Sequence Analysis and Pattern Discovery
Mapping the genomic landscapes is one of the most exciting frontiers of science. We have the opportunity to reverse engineer the blueprints and the control systems of living organisms. Computational tools are key enablers in the deciphering process. This book provides an in-depth presentation of some of the important computational biology approaches to genomic sequence analysis. The first section of the book discusses methods for discovering patterns in DNA and RNA. This is followed by the second section that reflects on methods in various ways, including performance, usage and paradigms.
Acidification and Hypoxia in Marginal Seas
The image is modified based on Figure 1a of Lucey et al. (this Research Topic) and Figure 7b of Niemi et al. (this Research Topic). (A) Graphical depiction of atmospheric warming and increasing atmospheric carbon dioxide (CO2atm), which drives ocean warming, contribute to the decreases in dissolved oxygen (DO), and lowers pH and saturation state index of calcium carbonate (Ω). The partial pressure of CO2 (pCO2) increases due to increasing atmospheric CO2 that is absorbed into the seawater (i.e., ocean acidification), along with other biological processes in the marine environment. (B) Scanning Electron Microscope (SEM) image showing dissolution on pteropod shells collected in the Amundsen Gulf in the Canadian Arctic, in 2017. Lucey N, Haskett E and Collin R (2020) Multi-stressor Extremes Found on a Tropical Coral Reef Impair Performance. Front. Mar. Sci. 7:588764. doi: 10.3389/fmars.2020.588764 Niemi A, Bednaršek N, Michel C, Feely RA, Williams W, Azetsu-Scott K, Walkusz W and Reist JD (2021) Biological Impact of Ocean Acidification in the Canadian Arctic: Widespread Severe Pteropod Shell Dissolution in Amundsen Gulf. Front. Mar. Sci. 8:600184. doi: 10.3389/fmars.2021.600184
Biological Data Mining And Its Applications In Healthcare
Biologists are stepping up their efforts in understanding the biological processes that underlie disease pathways in the clinical contexts. This has resulted in a flood of biological and clinical data from genomic and protein sequences, DNA microarrays, protein interactions, biomedical images, to disease pathways and electronic health records. To exploit these data for discovering new knowledge that can be translated into clinical applications, there are fundamental data analysis difficulties that have to be overcome. Practical issues such as handling noisy and incomplete data, processing compute-intensive tasks, and integrating various data sources, are new challenges faced by biologists in the post-genome era. This book will cover the fundamentals of state-of-the-art data mining techniques which have been designed to handle such challenging data analysis problems, and demonstrate with real applications how biologists and clinical scientists can employ data mining to enable them to make meaningful observations and discoveries from a wide array of heterogeneous data from molecular biology to pharmaceutical and clinical domains.
Graduate Programs in the Biological Sciences 2008
The six volumes of Peterson's Annual Guides to Graduate Study, the only annually updated reference work of its kind, provide wide-ranging information on the graduate and professional programs offered by accredited colleges and universities in the United States and U.S. territories and those in Canada, Mexico, Europe, and Africa that are accredited by U.S. accrediting bodies. Books 2 through 6 are divided into sections that contain one or more directories devoted to individual programs in a particular field. Book 3 contains more than 4,000 programs of study in 53 disciplines of the biological sciences.
Mutation-Driven Evolution
The purpose of this book is to present a new theory of mutation-driven evolution, which is based on recent advances in genomics and evolutionary developmental biology. This theory asserts that the driving force of evolution is mutation and natural selection is of secondary importance.
Molecular Physiology in Molluscs of Economic or Ecological Importance
As the largest marine phylum, molluscs comprise ~23% of all named marine organisms. Many molluscs have economic or ecological importance. With the development of molecular biology and omics techniques, significant gains have been made for molecular physiology in molluscs of economic or ecological importance.
Malacologia
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