Using generative adversarial networks for genome variant calling from low depth ONT sequencing data
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Using generative adversarial networks for genome variant calling from low depth ONT sequencing data
Authors
Keywords
-
Journal
Scientific Reports
Volume 12, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-05-30
DOI
10.1038/s41598-022-12346-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Analytical validity of nanopore sequencing for rapid SARS-CoV-2 genome analysis
- (2020) Rowena A. Bull et al. Nature Communications
- Deep convolutional neural networks for accurate somatic mutation detection
- (2019) Sayed Mohammad Ebrahim Sahraeian et al. Nature Communications
- An open resource for accurately benchmarking small variant and reference calls
- (2019) Justin M. Zook et al. NATURE BIOTECHNOLOGY
- A new era of long-read sequencing for cancer genomics
- (2019) Yoshitaka Sakamoto et al. JOURNAL OF HUMAN GENETICS
- Longshot enables accurate variant calling in diploid genomes from single-molecule long read sequencing
- (2019) Peter Edge et al. Nature Communications
- Nanopore sequencing and assembly of a human genome with ultra-long reads
- (2018) Miten Jain et al. NATURE BIOTECHNOLOGY
- A universal SNP and small-indel variant caller using deep neural networks
- (2018) Ryan Poplin et al. NATURE BIOTECHNOLOGY
- A deep convolutional neural network approach for predicting phenotypes from genotypes
- (2018) Wenlong Ma et al. PLANTA
- Double-slit photoelectron interference in strong-field ionization of the neon dimer
- (2018) Maksim Kunitski et al. Nature Communications
- HapCUT2: robust and accurate haplotype assembly for diverse sequencing technologies
- (2016) Peter Edge et al. GENOME RESEARCH
- The sequence of sequencers: The history of sequencing DNA
- (2016) James M. Heather et al. GENOMICS
- Joint Variant and De Novo Mutation Identification on Pedigrees from High-Throughput Sequencing Data
- (2014) John G. Cleary et al. JOURNAL OF COMPUTATIONAL BIOLOGY
- Integrating human sequence data sets provides a resource of benchmark SNP and indel genotype calls
- (2014) Justin M Zook et al. NATURE BIOTECHNOLOGY
- A framework for variation discovery and genotyping using next-generation DNA sequencing data
- (2011) Mark A DePristo et al. NATURE GENETICS
- Next-generation DNA sequencing
- (2008) Jay Shendure et al. NATURE BIOTECHNOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now