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Evaluation of tools for identifying large copy number variations from ultra-low-coverage whole-genome sequencing data
BACKGROUND: Detection of copy number variations (CNVs) from high-throughput next-generation whole-genome sequencing (WGS) data has become a widely used research method during the recent years. However, only a little is known about the applicability of the developed algorithms to ultra-low-coverage (...
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| Pubblicato in: | BMC Genomics |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8130438/ https://ncbi.nlm.nih.gov/pubmed/34000988 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12864-021-07686-z |
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