print.group_seq

It shows the groups sequences, the repeated markers, as well as the unlinked markers.

internal

Analysis of molecular marker data from model (backcrosses,
F2 and recombinant inbred lines) and non-model systems (i. e.
outcrossing species). For the later, it allows statistical
analysis by simultaneously estimating linkage and linkage
phases (genetic map construction) according to Wu et al. (2002)
<doi:10.1006/tpbi.2002.1577>. All analysis are based on multipoint
approaches using hidden Markov models.

Cristiane Taniguti

onemap

Construction of Genetic Maps in Experimental Crosses

Gabriel Margarido

Marcelo Mollinari

Getulio Ferreira

Rodrigo Amadeu

Karl Broman

Katharine Preedy

Bastian Schiffthaler

Augusto Garcia

print.group_seq function

<dl><dt>x</dt>
<dd>an object of class group_seq</dd>
<dt>detailed</dt>
<dd>logical. If <code>TRUE</code> the markers in each
linkage group sequence are printed.</dd>
<dt>...</dt>
<dd>currently ignored</dd></dl>

Arguments

Show the results of grouping markers to preexisting sequence — print.group_seq

<dl>

<dt>x</dt>
<dd>an object of class group_seq</dd>


<dt>detailed</dt>
<dd>logical. If <code>TRUE</code> the markers in each
linkage group sequence are printed.</dd>


<dt>...</dt>
<dd>currently ignored</dd>

</dl>

Show the results of grouping markers to preexisting sequence

print.group_seq: Show the results of grouping markers to preexisting sequence

Description

Usage

Value

Arguments