<> "The repository administrator has not yet configured an RDF license."^^ . <> . . "Integrative bioinformatics analyses of genome-wide\r\nRNAi screens"^^ . "In past few years, genome-wide RNAi screens have identified many novel genes involved in\r\ndiseases for many viruses such as Human Immunodeficiency Virus-1 (HIV-1), Hepatitis C virus\r\n(HCV), West Nile Virus (WNV) and Influenza virus (IV). However, due to difference\r\nin experimental conditions, usage of different viral strains and inherent biological noise, these\r\nscreens have shown low number of common or overlapping hits for a virus. Moreover, this\r\noverlap gets poorer for similar studies on viruses of different families. Although these overlaps\r\nare significant, their lower size restricts a comprehensive insight from a comparative analysis.\r\nThus, a direct comparison of gene hit-lists of RNAi screens may not always give meaningful\r\nresults. To address this problem we propose an integrative bioinformatics pipeline that allows\r\nfor network based meta-analysis of viral HT-RNAi screens. Initially, human protein interaction\r\nnetwork (PIN) generated by collating data from various public repositories, is subjected\r\nto unsupervised clustering to determine functional modules. Those modules that are significantly\r\nenriched in host dependency factors (HDFs) and/or host restriction factors (HRFs) are\r\nthen filtered based on network topology and semantic similarity measures. Modules passing\r\nall these criteria are then interpreted for their biological significance from enrichment analyses.\r\nWith our approach we could predict Tankyrase-1 as a potential novel hit within the functional\r\nsubnetworks, within the human PIN for Hepatitis C virus (HCV). and Human Immunodeficiency\r\nVirus-1 (HIV-1), based on HDFs and HRFs identified in the corresponding genome-wide\r\nRNAi screens of these viruses. Thus, our approach allows for a network based meta-analysis\r\nof genome-wide screens to develop plausible hypotheses for novel regulatory mechanisms in\r\nvirus-host interactions based on RNAi screens."^^ . "2014" . . . . . . . "Sandeep"^^ . "Amberkar"^^ . "Sandeep Amberkar"^^ . . . . . . "Integrative bioinformatics analyses of genome-wide\r\nRNAi screens (PDF)"^^ . . . "Thesis_Final2_2_HeiDok_02102014_v2.pdf"^^ . . . "Integrative bioinformatics analyses of genome-wide\r\nRNAi screens (Other)"^^ . . . . . . "lightbox.jpg"^^ . . . "Integrative bioinformatics analyses of genome-wide\r\nRNAi screens (Other)"^^ . . . . . . "preview.jpg"^^ . . . "Integrative bioinformatics analyses of genome-wide\r\nRNAi screens (Other)"^^ . . . . . . "medium.jpg"^^ . . . "Integrative bioinformatics analyses of genome-wide\r\nRNAi screens (Other)"^^ . . . . . . "small.jpg"^^ . . . "Integrative bioinformatics analyses of genome-wide\r\nRNAi screens (Other)"^^ . . . . . . "indexcodes.txt"^^ . . "HTML Summary of #17492 \n\nIntegrative bioinformatics analyses of genome-wide \nRNAi screens\n\n" . "text/html" . . . "500 Naturwissenschaften und Mathematik"@de . "500 Natural sciences and mathematics"@en . .