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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.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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