Portal:RenalGenomics/Intro
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<br/><big><font color="#407F7F" size="5">Welcome to the Renal Genomics Portal</font></big><br/><br/> | <br/><big><font color="#407F7F" size="5">Welcome to the Renal Genomics Portal</font></big><br/><br/> | ||
- | <p>This portal highlights WikiPathways content related to renal biology and disease. Most available pathways lack tissue/cell specificity and are of limited usefulness in highly differentiated tissues such as the glomerulus, renal arteries, macula densa or individual nephron segments. In order to produce quality renal genomics data kidney-specific pathways are needed. Crowd contributions by renal physiologists to further develop these pathways and to create new ones would help to integrate the renal knowledgebase and provide a powerful and freely-available tool to expand the renal genomics field. | + | <p>This portal highlights WikiPathways content related to renal biology and disease. Most available pathways lack tissue/cell specificity and are of limited usefulness in highly differentiated tissues such as the glomerulus, renal arteries, macula densa or individual nephron segments. In order to produce quality renal genomics data, kidney-specific pathways are needed. Crowd contributions by renal physiologists to further develop these pathways and to create new ones would help to integrate the renal knowledgebase and provide a powerful and freely-available tool to expand the renal genomics field. |
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Revision as of 11:21, 25 August 2017
This portal highlights WikiPathways content related to renal biology and disease. Most available pathways lack tissue/cell specificity and are of limited usefulness in highly differentiated tissues such as the glomerulus, renal arteries, macula densa or individual nephron segments. In order to produce quality renal genomics data, kidney-specific pathways are needed. Crowd contributions by renal physiologists to further develop these pathways and to create new ones would help to integrate the renal knowledgebase and provide a powerful and freely-available tool to expand the renal genomics field. |