Title: Knockoffs for Hidden Markov Models and Genomic Data
Description: Generates knockoff variables from discrete Markov chains and hidden Markov models, with specific support for genomic data.
For more information, see the website below and the accompanying paper: Sesia et al.,
"Gene Hunting with Knockoffs for Hidden Markov Models",

Title: Knockoffs for Hidden Markov Models and Genetic Data
Description: Generates knockoff variables from discrete Markov chains and hidden Markov models, with specific support for genetic data.
Suggests: knitr, testthat, parallel, doParallel

person("Matteo", "Sesia", , "msesia@stanford.edu", role = c("aut", "cre"))
Description: Generate knockoffs for genetic data and hidden Markov models.
For more information, see the website below and the accompanying papers:
"Gene hunting with hidden Markov model knockoffs", Sesia et al., Biometrika, 2019, (<doi:10.1093/biomet/asy033>).
"Multi-resolution localization of causal variants across the genome", Sesia et al., bioRxiv, 2019, (<doi:10.1101/631390>).

Title: Maximally selected statistics for SNP data
Depends: R (>= 2.2.1), mvtnorm, combinat
Description: This package implements asymptotic methods related to maximally selected statistics, with applications to SNP data.
Packaged: Thu Feb 15 09:43:12 2007; boulesteix

Packaged: Mon Jun 11 12:23:23 2007; boulesteix

Description: This package implements asymptotic methods related to
maximally selected statistics, with applications to SNP data.

Title: Accessing, subsetting and plotting mouse SNPs.
Description: This package queries the SNPs data sets and makes plots of
genes and SNPs.  This package allows users to access these data
sets once they have been compiled into one file and indexed
are functions to retrieve SNPs, subset them for specific
strains, obtain only SNPs that are polymorphic for a subset of
strains, plot SNPs and look for certain allele patterns in
SNPs. We have also added functions to access indels and
Depends: R (>= 2.10), IRanges, GenomicRanges, Biostrings, Rsamtools