8 skills found
zhaokg / RbeastBayesian Change-Point Detection and Time Series Decomposition
genome / PindelPindel can detect breakpoints of large deletions, medium sized insertions, inversions, tandem duplications and other structural variants at single-based resolution from next-gen sequence data. It uses a pattern growth approach to identify the breakpoints of these variants from paired-end short reads.
fulcrumgenomics / FgsvTools to gather evidence for structural variation via breakpoint detection.
HurlesGroupSanger / IndelibleStructural Variation breakpoint discovery via adaptive learning
PapenfussLab / Cloveclassification of higher-order structural variants from breakpoint data
ruping / BreakpointerBreakpointer is a fast algorithm to locate breakpoints of structural variants from single-end reads produced by next-generation sequencing.
julzerinos / R Structural Breaks With MlDetecting structural breaks in time series data using statistical analysis and regression models in R.
chadcreighton / SVExpressSVExpress is a suite of computational tools (implemented in Excel VBA and R) that allows one to identify Structural Variant (SV) breakpoint-to-expression associations across a set of cancer samples profiled for both SVs and gene transcription.