Additional data and code for "You can move, but you can't hide: identification of mobile genetic elements with geNomad"

benchmark_data: Data used to train and evaluate the classification models.

giant_virus_data: Sequences and metadata of giant viruses identified in public metagenomes.

neural_network_training: Code used to train geNomad's neural network-based classification model.

provirus_data: Data used to train and evaluate the conditional random field model employed by geNomad to identify provirus regions.

reference_sequences: Sequences of chromosomes, plasmids, and viruses that were used to build geNomad's marker dataset and to generate the training data for the classification models.

benchmark_data：用于训练与评估分类模型的数据集。
giant_virus_data：从公共宏基因组（metagenome）中鉴定出的巨型病毒序列及其元数据。
neural_network_training：用于训练geNomad基于神经网络的分类模型的代码。
provirus_data：用于训练与评估geNomad用于鉴定前病毒（provirus）区域的条件随机场（conditional random field）模型的数据集。
reference_sequences：用于构建geNomad标记数据集，并为分类模型生成训练数据的染色体（chromosome）、质粒（plasmid）与病毒序列。