Titlebook: Computational Cell Biology; Methods and Protocol Louise von Stechow,Alberto Santos Delgado Book 2018 Springer Science+Business Media, LLC,

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Magnetic Classification of Active Regionsparasite molecular communication improves the understanding the mechanisms of infection, evasion of the host immune system and tropism across different tissues. Current trends in parasitology focus on unraveling host–parasite protein–protein interactions to aid the development of new strategies to c

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https://doi.org/10.1007/978-1-4613-3485-9arget genes. The interpretation is often complicated by the fact that a single miRNA can target many genes and multiple miRNAs can regulate a single gene. Here we introduce miRNet (.), an easy-to-use web-based tool designed for creation, customization, visual exploration and functional interpretatio

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Paul L. Stoffa,Peter Buhl,John B. Dieboldregions that are statistically overrepresented for functional groups or quantitative phenotypes of interest, and provides an intuitive visual representation of their relative positioning within the network. In doing so, SAFE determines which functions cocluster in a network, which parts of the netwo

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Language, Tradition and Silence,the cell cycle or in response to external and internal stimuli, and are tightly regulated by protein expression in different tissues resulting in quantitative and qualitative variation of protein complexes. Advances in high-throughput techniques, such as mass-spectrometry and yeast two-hybrid provid

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Language Beneath Words: Edward Thomas,ady been identified. This feature makes the system ideally suited for modelers who can use all the available interaction knowledge to build a systems level model of the underlying molecular regulatory network. This model can serve to identify gaps in our knowledge and to test theoretical assumptions

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https://doi.org/10.1007/978-94-017-3099-0essible chromatin with high-throughput sequencing (ATAC-Seq) is a powerful technique for identifying nucleosome-free regions of the genome. Combining ATAC-Seq with RNA Sequencing (RNA-Seq) is a rapid approach for studying the relationship between genome structure and changes in global patterns of ge

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Computational Cell Biology978-1-4939-8618-7Series ISSN 1064-3745 Series E-ISSN 1940-6029