ASD Genome-wide prediction of autism-associated genes
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Laboratory for Bioinformatics and Functional Genomics. In our research, we combine computational methods with an experimental component in a unified effort to develop comprehensive descriptions of genetic systems of cellular controls, including those whose malfunctioning becomes the basis of genetic disorders, such as cancer, and others whose failure might produce developmental defects in model systems. Understanding multicellular function and disease with human tissue-specific networks.
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ASD Genome-wide prediction of autism-associated genesDESCRIPTION
My Gene Sets Tribe Login. Genome-wide predictions of autism-associated genes. Autism spectrum disorder ASD. Is a neurodevelopmental disorder characterized by deficits in social communication and restricted, repetitive patterns of behavior. ASD has a strong genetic basis. But we still lack the full complement of autism-associated genes. Here we present a genome-wide prediction. Based on known disease genes in the context of a human brain-specific gene interaction network. Regulation of cell development.PARSED CONTENT
The web site had the following on the homepage, "Genome-wide predictions of autism-associated genes." We noticed that the web site said " Is a neurodevelopmental disorder characterized by deficits in social communication and restricted, repetitive patterns of behavior." It also said " ASD has a strong genetic basis. But we still lack the full complement of autism-associated genes. Here we present a genome-wide prediction. Based on known disease genes in the context of a human brain-specific gene interaction network."SEEK SIMILAR BUSINESSES
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Genome-scale Integrated Analysis of gene Networks in Tissues. Relevant tissues for query genes. GIANT leverages a tissue-specific gold standard to automatically up-weight datasets relevant to a tissue from a large data compendium of diverse tissues and cell-types. The resulting functional networks accurately capture tissue-specific functional interactions. Troyanskaya Laboratory - Princeton University.
This server performs in silico nano-dissection, an approach we developed to identify genes with novel cell-lineage specific expression. This method leverages high-throughput functional genomics data from tissue homogenates to accurately predict genes enriched in specific cell types. Defining cell type specificity at the transcriptional level in human disease.
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This collection of tools is a subset of the tools, applications, and libraries developed within the Center for Quantitative Biology. They are provided here within a common framework, called the CQB Integrated Tools. Which allows for data to be processed and passed between them easily. The Integrated Tools framework also supports batch processing for multiple data sets natively within each tool and utilizes the local computing grid for high throughput.