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      Combinatorial Approach for Complex Disorder Prediction: Case Study of Neurodevelopmental Disorders

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      Genetics

      Genetics Society of America

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          Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

          DAVID bioinformatics resources consists of an integrated biological knowledgebase and analytic tools aimed at systematically extracting biological meaning from large gene/protein lists. This protocol explains how to use DAVID, a high-throughput and integrated data-mining environment, to analyze gene lists derived from high-throughput genomic experiments. The procedure first requires uploading a gene list containing any number of common gene identifiers followed by analysis using one or more text and pathway-mining tools such as gene functional classification, functional annotation chart or clustering and functional annotation table. By following this protocol, investigators are able to gain an in-depth understanding of the biological themes in lists of genes that are enriched in genome-scale studies.
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            Diagnostic and Statistical Manual of Mental Disorders

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              Initial sequencing and analysis of the human genome.

               James Galagan (2001)
              The human genome holds an extraordinary trove of information about human development, physiology, medicine and evolution. Here we report the results of an international collaboration to produce and make freely available a draft sequence of the human genome. We also present an initial analysis of the data, describing some of the insights that can be gleaned from the sequence.
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                Author and article information

                Journal
                Genetics
                Genetics
                Genetics Society of America
                0016-6731
                1943-2631
                December 06 2018
                December 2018
                December 2018
                October 08 2018
                : 210
                : 4
                : 1483-1495
                Article
                10.1534/genetics.118.301280
                © 2018

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