Pinned Repositories
CNCDatabase
cornell non-coding cancer driver database
CNCDatabase_data
data for cncdatabase
CNCDriver
Combined mutation recurrence and functional impact to identify coding and non-coding cancer drivers
CompositeDriver
Combined mutation recurrence and functional impact to identify coding and non-coding cancer drivers
CSVDriver
Bioinformatics tool to identify SV drivers from whole-genome sequences
DeepMILO
DGTAC
Differential Gene Targets of Accessible Chromatin
FSig-SNV
FSig-SNV: An R package detecting SNV coding and non-coding drivers in cancer
FunSeq2_DC
a modified version of FunSeq2 using new data context
RegNetDriver
RegNetDriver is a computational approach to identify regulatory drivers of tumorigenesis using combined effects of coding and non-coding single nucleotide variants, structural variants (SVs) and DNA methylation changes in the DNase I hypersensitivity based regulatory network
Khurana lab @ WCMC's Repositories
khuranalab/CompositeDriver
Combined mutation recurrence and functional impact to identify coding and non-coding cancer drivers
khuranalab/FunSeq2_DC
a modified version of FunSeq2 using new data context
khuranalab/DeepMILO
khuranalab/CNCDriver
Combined mutation recurrence and functional impact to identify coding and non-coding cancer drivers
khuranalab/CSVDriver
Bioinformatics tool to identify SV drivers from whole-genome sequences
khuranalab/FSig-SNV
FSig-SNV: An R package detecting SNV coding and non-coding drivers in cancer
khuranalab/CaRNetS
Cancer Regulatory Networks and Susceptibilities
khuranalab/CNCDatabase
cornell non-coding cancer driver database
khuranalab/CNCDatabase_data
data for cncdatabase
khuranalab/DGTAC
Differential Gene Targets of Accessible Chromatin
khuranalab/RegNetDriver
RegNetDriver is a computational approach to identify regulatory drivers of tumorigenesis using combined effects of coding and non-coding single nucleotide variants, structural variants (SVs) and DNA methylation changes in the DNase I hypersensitivity based regulatory network
khuranalab/CRPC
Code for CRPC paper.
khuranalab/FSig-SV
FSig-SV (Functionally significant structural variants) method identifies coding and non-coding elements significantly affected by deletion, insertion, duplication, inversion and translocation events. Output of the method is a list of coding and non-coding elements that are rearranged in more samples than expected randomly.