Package: HAPim
Type: Package
Title: HapIM
Version: 1.3
Date: 2009-10-10
Author: S. Dejean, N. Oumouhou, D. Estivals, B. Mangin
Maintainer: Brigitte Mangin <brigitte.mangin@toulouse.inra.fr>
Description: The package provides a set of functions whose aim is to
propose 4 methods of QTL detection. HAPimLD is an
interval-mapping method designed for unrelated individuals with
no family information that makes use of linkage disequilibrium.
HAPimLDL is an interval-mapping method for design of half-sib
families. It combines linkage analysis and linkage
disequilibrium. HaploMax is based on an analysis of variance
with a dose haplotype effect. HaploMaxHS is based on an
analysis of variance with a sire effect and a dose haplotype
effect in half-sib family design.  Fundings for the package
development were provided to the LDLmapQTL project by the ANR
GENANIMAL program and APIS-GENE.
License: GPL
Packaged: 2012-10-29 08:57:07 UTC; ripley
Repository: CRAN
Date/Publication: 2012-10-29 08:57:07

Description: Estimation, simulation, and forecasting using the HAR model from Corsi(2009) <DOI:10.1093/jjfinec/nbp001>.
Imports: Rcpp (>= 0.12.17) , xts, zoo, sandwich,

Description: Estimation, simulation, and forecasting using the HAR model from Corsi(2009) <DOI:10.1093/jjfinec/nbp001> and extensions.

Imports: Rcpp (>= 0.12.17) , xts, zoo, sandwich

role = c("aut", "cre"), comment = "R package HARtools"),
person("Michael", "Mrowetz", role = c("aut", "cph"),
comment = "PerfCascade library, https://micmro.github.io/PerfCascade/"))
Description: The goal of 'HARtools' is to provide a simple set of functions
to read/parse, write and visualise HTTP Archive ('HAR') files in R.
Imports: assertthat, magrittr, jsonlite, htmlwidgets, htmltools
Suggests: testthat, covr, httr, shiny, knitr, rmarkdown
Author: John Harrison [aut, cre] (R package HARtools),
Michael Mrowetz [aut, cph] (PerfCascade library,

Description: Hi-C dataset processing algorithm introduced by Chao He (2016) <doi.org/10.1101/083576>.
The optimized and flexible pipeline for analyzing the
folding of whole chromosome and interactions between some
specific sites from the Hi-C raw sequencing reads to the
partially processed datasets. The other complex genetic and
epigenetic datasets from public sources such as GWAS, ENCODE
consortiums etc. will also easily be integrated into HBP,
hence the final output results of HBP could provide a
comprehensive in-depth understanding for the specific
chromatin interactions, potential molecular mechanisms and
biological significance. We believe that HBP is a reliable
tool for the rapidly analysis of Hi-C data and will be very
useful for a wide range of researchers, particularly those
who lack of background in computational biology.