Fungal Species Identification using DNA Barcode with Random Forest

Documentation for package ‘funbarRF’ version 1.0.2

data_barcode	Barcode sequences for five differet taxonomical entities i.e., Fish, Bat, Inga, Drosophila and Cypraeidae
encGPC	Encoding barcode sequences using gap-pair compositional features.
fun_dat	A dataset of 2726 fungal barcode sequences belonging to 1363 fungal species, where each species has exactly 2 sequence.
predict_test_funbarRF	Prediction of species label for the query fungal barcode sequences.
predict_train_funbarRF	Prediction of species labels for the out-of-bag (OOB) reference barcode sequence using Random Forest.
read_seq_txt	Conversion of DNA sequences of character types to DNAStringSet types.
seq_funbarRF	Conversion of barcode sequences into numeric vectors based on gap pair compositions, with user supplied barcode sequences and species labels.
seq_funbarRF_manual	Conversion of barcode sequences manually collected from BOLD database into numeric features based on gap pair compositions.
Unite	UNITE training dataset of 143723 sequences belonging to 9001 species.
WarcupRDS	Warcup training dataset which is trained with funbarRF.