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Christopher L Plaisier, PhD edited this page Jun 13, 2017
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We developed the transcription factor (TF)-target gene database and the Systems Genetics Network Analysis (SYGNAL) pipeline to decipher transcriptional regulatory networks from multi-omic and clinical patient data. SYGNAL is widely applicable for integrating genomic and transcriptomic measurements from other human cohorts and also mouse studies. We provide a lot of details about applying the SYGNAL pipeline to glioblastoma multiforme (GBM) in our recent paper Plaisier et al., 2016 with a lot of details in the supplementary information.
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Installation
- Dependencies
- Python
- R
- Stand alone programs
- Installing SYGNAL
- Dependencies
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Preparing for SYGNAL run
- Overview of SYGNAL method
- Directory structure for running cMonkey2 and SYGNAL
- Running cMonkey2
- Overlaying SYGNAL on alternative clustering methods
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Running SYGNAL
- Command line parameters
- Input files
- sygnal_config.json
- cMonkey2 output database
- User supplied cMonkey2 expression matrix
- Complete user supplied expression matrix
- Gene ID thesaurus
- TF-target gene regulatory interactions
- TF family information
- miRNA-target gene regulatory interactions
- Promoter and 3' UTR sequences for organism of study
- Background sequence information for motif callers
- Typical run of SYGNAL
- Typical output from running SYGNAL
- Results from SYGNAL
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output
directory - postProcessed_.csv
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- Troubleshooting