dcSplitArch: Function to obtain a list of features via splitting an input...
In dcGOR: Analysis of Ontologies and Protein Domain Annotations

Description Usage Arguments Value Note See Also Examples

dcSplitArch is supposed to obtain a list of features via splitting an input architecture.

1
2
3

dcSplitArch(da, feature.mode = c("supra", "individual", "comb"), sep =
",",
ignore = "_gap_", verbose = T)

`da`	an input architecture. For example, a comma-separated string
`feature.mode`	the mode of how to define the features thereof. It can be: "supra" for combinations of one or two successive domains (including individual domains; considering the order), "individual" for individual domains only, and "comb" for all possible combinations (including individual domains; ignoring the order)
`sep`	a character string to separate. By default, it is comma ','
`ignore`	a character string to ignore. By default, it is '_gap_'. Ihis ignored character will affect the features defined as being 'supra' (see examples below)
`verbose`	logical to indicate whether the messages will be displayed in the screen. By default, it sets to TRUE for display

a vector containing splitted features.

none

dcAlgo, dcAlgoPredict

da <- "_gap_,100895,57610,_gap_,57610,47473"
# get features defined as being "supra"
dcSplitArch(da, feature.mode="supra")
# get features defined as being "individual"
dcSplitArch(da, feature.mode="individual")
# get features defined as being "comb"
dcSplitArch(da, feature.mode="comb")