EXPLORING THE FUNCTION OF PROTEIN KINASES IN SCHISTOSOMES: PERSPECTIVES FROM THE LABORATORY AND FROM COMPARATIVE GENOMICS

Exploring the function of protein kinases in schistosomes: perspectives from the laboratory and from comparative genomics

Eukaryotic protein kinases are well conserved through evolution.The genome of Schistosoma mansoni, which causes intestinal schistosomiasis, encodes over 250 putative protein kinases with all of the main eukaryotic groups represented.However, unraveling functional roles for these kinases is a considerable endeavour, particularly as NECKLACES protein

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Through the Looking Glass: Visualizing Leukemia Growth, Migration, and Engraftment Using Fluorescent Transgenic Zebrafish

Zebrafish have emerged as a powerful model of development and cancer.Human, mouse, and zebrafish malignancies exhibit striking histopathologic and molecular similarities, underscoring the remarkable conservation of genetic pathways required to induce cancer.Zebrafish are uniquely suited for large-scale Enamel Oven Tray studies in which hundreds of

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Methodological Thoughts from the Linguistic Field

Data are the heart and soul of any linguistic research.Regardless Supplies of how incisive an analysis might be, or how clever, it can never be any better than the data it is based upon.For the field linguist gathering data, important considerations include the selection of informants, the number of informants selection, and data collection techniq

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Automated classification of clinical trial eligibility criteria text based on ensemble learning and metric learning

Abstract Background Eligibility criteria are the primary strategy for screening the target participants of a clinical trial.Automated classification of clinical trial eligibility criteria text by using machine learning methods improves recruitment efficiency to reduce the cost of clinical research.However, existing methods suffer from poor classifi

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