SparkINFERNO: a scalable high-throughput pipeline for inferring molecular mechanisms of non-coding genetic variants.
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| Title: | SparkINFERNO: a scalable high-throughput pipeline for inferring molecular mechanisms of non-coding genetic variants. |
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| Authors: | Kuksa PP; Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center., Lee CY; Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center., Amlie-Wolf A; Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center.; Genomics and Computational Biology Graduate Group., Gangadharan P; Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center., Mlynarski EE; Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center., Chou YF; Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center., Lin HJ; Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center., Issen H; Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center., Greenfest-Allen E; Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center.; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA., Valladares O; Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center., Leung YY; Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center., Wang LS; Department of Pathology and Laboratory Medicine, Penn Neurodegeneration Genomics Center.; Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. |
| Source: | Bioinformatics (Oxford, England) [Bioinformatics] 2020 Jun 01; Vol. 36 (12), pp. 3879-3881. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| 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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| ISSN: | 1367-4811 |
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| DOI: | 10.1093/bioinformatics/btaa246 |
