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hipFG: high-throughput harmonization and integration pipeline for functional genomics data.

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Title: hipFG: high-throughput harmonization and integration pipeline for functional genomics data.
Authors: Cifello J; Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States., Kuksa PP; Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States., Saravanan N; Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States., Valladares O; Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States., Wang LS; Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States., Leung YY; Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2023 Nov 01; Vol. 39 (11).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: hipFG: high-throughput harmonization and integration pipeline for functional genomics data.
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  Data: <searchLink fieldCode="AU" term="%22Cifello+J%22">Cifello J</searchLink>; Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.<br /><searchLink fieldCode="AU" term="%22Kuksa+PP%22">Kuksa PP</searchLink>; Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.<br /><searchLink fieldCode="AU" term="%22Saravanan+N%22">Saravanan N</searchLink>; Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.<br /><searchLink fieldCode="AU" term="%22Valladares+O%22">Valladares O</searchLink>; Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.<br /><searchLink fieldCode="AU" term="%22Wang+LS%22">Wang LS</searchLink>; Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.<br /><searchLink fieldCode="AU" term="%22Leung+YY%22">Leung YY</searchLink>; Penn Neurodegeneration Genomics Center, Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States.
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  Data: <searchLink fieldCode="JN" term="%229808944%22">Bioinformatics (Oxford, England)</searchLink> [Bioinformatics] 2023 Nov 01; Vol. 39 (11).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9808944 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1367-4811 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213674803%22">13674803 </searchLink><i>NLM ISO Abbreviation: </i>Bioinformatics <i>Subsets: </i>MEDLINE
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        Value: 10.1093/bioinformatics/btad673
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              Text: 2023 Nov 01
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