[HTML][HTML] VLF: An R package for the analysis of very low frequency variants in DNA sequences
Here, we introduce VLF, an R package to determine the distribution of very low frequency
variants (VLFs) in nucleotide and amino acid sequences for the analysis of errors in DNA …
variants (VLFs) in nucleotide and amino acid sequences for the analysis of errors in DNA …
Towards High-Throughput Biodiversity Analysis: Applying Machine Learning to Predict Whether COI Sequences Contain Substitution Errors
N Ibrahim - 2023 - atrium.lib.uoguelph.ca
High-throughput sequencing (HTS) technologies have allowed researchers to read a large
amount of genetic data quickly and cheaply. However, HTS is more likely to create errors …
amount of genetic data quickly and cheaply. However, HTS is more likely to create errors …
Development Strategies for Parallelized Genetic Sequence Data Preparation and Application of Artificial Neural Networks for Sequencing Error Correction
I Cicanovski - 2022 - atrium.lib.uoguelph.ca
A set of core component algorithms of a complete sequencing error correction pipeline for
multiplexed read sequences was developed. Semi-synthetic and real-world data-sets were …
multiplexed read sequences was developed. Semi-synthetic and real-world data-sets were …
[引用][C] Machine learning in molecular ecology
NM Fountain‐Jones, ML Smith… - Molecular Ecology …, 2021 - Wiley Online Library
Advances in next-generation sequencing (NGS) platforms are allowing researchers to
routinely collate large genome-wide data sets to address a variety of ecological questions …
routinely collate large genome-wide data sets to address a variety of ecological questions …