HELLO: improved neural network architectures and methodologies for small variant calling

Background: Modern Next Generation- and Third Generation- Sequencing methods such as Illumina and PacBio Circular Consensus Sequencing platforms provide accurate sequencing data. Parallel developments in Deep Learning have enabled the application of Deep Neural Networks to variant calling, surpassin...

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Bibliographic Details
Main Authors:	Chen, D. (Author), Klee, E.W (Author), Lumetta, S.S (Author), Ramachandran, A. (Author)
Format:	Article
Language:	English
Published:	BioMed Central Ltd 2021
Subjects:	article Classical approach deep learning Deep learning deep neural network Deep neural networks diagnostic test accuracy study high throughput sequencing High-accuracy High-Throughput Nucleotide Sequencing human Humans Hybrid variant calling Illumina Image recognition indel mutation INDEL Mutation Inference functions Method development molecular recognition Network architecture Neural networks Neural Networks, Computer PacBio Parallel development pipeline Pipelines Sequencing method Third generation Variant calling
Online Access:	View Fulltext in Publisher

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View Fulltext in Publisher

HELLO: improved neural network architectures and methodologies for small variant calling

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