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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-11-01
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Series: | Computers |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-431X/6/4/29 |