Nextflow Modules
Showing module(s) with keyword "machine learning"
| Module | Keywords | Description |
|---|---|---|
| nf-core/deepsomatic | variant calling machine learning neural network | DeepSomatic is an extension of deep learning-based variant caller DeepVariant that takes aligned reads (in BAM or CRAM format) from tumor and normal data, produces pileup image tensors from them, classifies each tensor using a convolutional neural network, and finally reports somatic variants in a standard VCF or gVCF file. |
| nf-core/deepvariant | variant calling machine learning neural network | (DEPRECATED - see main.nf) DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data |
| nf-core/deepvariant/callvariants | variant calling machine learning neural network | Call variants from the examples produced by make_examples |
| nf-core/deepvariant/makeexamples | variant calling machine learning neural network | Transforms the input alignments to a format suitable for the deep neural network variant caller |
| nf-core/deepvariant/postprocessvariants | variant calling machine learning neural network | DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data |
| nf-core/deepvariant/rundeepvariant | variant calling machine learning neural network | DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data |
| nf-core/deepvariant/vcfstatsreport | variant calling machine learning neural network | DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data |
| nf-core/sourcepredict | source tracking metagenomics machine learning | Classifies and predicts the origin of metagenomic samples |