Scaling‐up RADseq methods for large datasets of non‐invasive samples: Lessons for library construction and data preprocessing - Archive ouverte HAL
Article Dans Une Revue Molecular Ecology Resources Année : 2023

Scaling‐up RADseq methods for large datasets of non‐invasive samples: Lessons for library construction and data preprocessing

Résumé

Genetic non-invasive sampling (gNIS) is a critical tool for population genetics studies, supporting conservation efforts while imposing minimal impacts on wildlife. However, gNIS often presents variable levels of DNA degradation and non-endogenous contamination, which can incur considerable processing costs. Furthermore, the use of restriction-site-associated DNA sequencing methods (RADseq) for assessing thou
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Dates et versions

hal-04196668 , version 1 (05-09-2023)

Identifiants

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Larissa S Arantes, Jilda A Caccavo, James K Sullivan, Sarah Sparmann, Susan Mbedi, et al.. Scaling‐up RADseq methods for large datasets of non‐invasive samples: Lessons for library construction and data preprocessing. Molecular Ecology Resources, In press, ⟨10.1111/1755-0998.13859⟩. ⟨hal-04196668⟩
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