DEploid-dev
DEploid development repositories. See README (https://github.com/DEploid-dev/README) for more details.
Pinned Repositories
DEploid
dEploid is designed for deconvoluting mixed genomes with unknown proportions. Traditional ‘phasing’ programs are limited to diploid organisms. Our method modifies Li and Stephen’s algorithm with Markov chain Monte Carlo (MCMC) approaches, and builds a generic framework that allows haloptype searches in a multiple infection setting.
DEploid-Bestpractices-Benchmark-in_silico_field
DEploid-Bestpractices-Benchmark-mixed4s
DEploid-Bestpractices-github-actions
deploid-dev.github.io
DEploid-py
Python interface for dEploid. dEploid is designed for deconvoluting mixed genomes with unknown proportions. Traditional ‘phasing’ programs are limited to diploid organisms. Our method modifies Li and Stephen’s algorithm with Markov chain Monte Carlo (MCMC) approaches, and builds a generic framework that allows haloptype searches in a multiple infection setting.
DEploid-r
An R interface for dEploid. dEploid is designed for deconvoluting mixed genomes with unknown proportions. Traditional ‘phasing’ programs are limited to diploid organisms. Our method modifies Li and Stephen’s algorithm with Markov chain Monte Carlo (MCMC) approaches, and builds a generic framework that allows haloptype searches in a multiple infection setting.
DEploid-Supplementary-Materials
DEploid-Utilities
README
DEploid-dev README
DEploid-dev's Repositories
DEploid-dev/DEploid
dEploid is designed for deconvoluting mixed genomes with unknown proportions. Traditional ‘phasing’ programs are limited to diploid organisms. Our method modifies Li and Stephen’s algorithm with Markov chain Monte Carlo (MCMC) approaches, and builds a generic framework that allows haloptype searches in a multiple infection setting.
DEploid-dev/DEploid-r
An R interface for dEploid. dEploid is designed for deconvoluting mixed genomes with unknown proportions. Traditional ‘phasing’ programs are limited to diploid organisms. Our method modifies Li and Stephen’s algorithm with Markov chain Monte Carlo (MCMC) approaches, and builds a generic framework that allows haloptype searches in a multiple infection setting.
DEploid-dev/DEploid-Utilities
DEploid-dev/DEploid-Bestpractices-Benchmark-in_silico_field
DEploid-dev/DEploid-Bestpractices-Benchmark-mixed4s
DEploid-dev/DEploid-Bestpractices-github-actions
DEploid-dev/deploid-dev.github.io
DEploid-dev/DEploid-py
Python interface for dEploid. dEploid is designed for deconvoluting mixed genomes with unknown proportions. Traditional ‘phasing’ programs are limited to diploid organisms. Our method modifies Li and Stephen’s algorithm with Markov chain Monte Carlo (MCMC) approaches, and builds a generic framework that allows haloptype searches in a multiple infection setting.
DEploid-dev/DEploid-ShinyApp
DEploid-dev/DEploid-Supplementary-Materials
DEploid-dev/mixedIBD
DEploid-dev/README
DEploid-dev README
DEploid-dev/DEploid-Data-Benchmark-in_silico_field
DEploid-dev/DEploid-Data-Benchmark-in_silico_lab_mixed_4s
DEploid-dev/dEploidPaper