Application of Machine Learning Models in Error and Variant Detection in High-Variation Genomics Datasets

Application of Machine Learning Models in Error and Variant Detection in High-Variation Genomics Datasets

For metagenomics datasets, datasets of complex polyploid genomes, and other high-variation genomics datasets, there are difficulties with the analysis, error detection and variant calling, stemming from the challenges of discerning sequencing errors from biological variation. Confirming base candida...

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Bibliographic Details
Main Authors: Milko Krachunov, Maria Nisheva, Dimitar Vassilev
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Computers
Subjects:
machine learning
error discovery
variant calling
metagenomics
polyploid genomes
Online Access:https://www.mdpi.com/2073-431X/6/4/29

Internet

https://www.mdpi.com/2073-431X/6/4/29

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