N
Natalia Ivanova
Researcher at University of Guelph
Publications - 56
Citations - 5940
Natalia Ivanova is an academic researcher from University of Guelph. The author has contributed to research in topics: DNA barcoding & Biodiversity. The author has an hindex of 26, co-authored 56 publications receiving 5056 citations. Previous affiliations of Natalia Ivanova include Engelhardt Institute of Molecular Biology.
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Journal ArticleDOI
An inexpensive, automation-friendly protocol for recovering high-quality DNA
TL;DR: This study presents a silica-based method that is sensitive, inexpensive and compliant with automation that has now been tested on more than 5000 animal specimens with highly positive results.
Journal ArticleDOI
Universal primer cocktails for fish DNA barcoding
TL;DR: The results show that M13-tailed primer cocktails are more effective than conventional degenerate primers, allowing barcode work on taxonomically diverse samples to be carried out in a high-throughput fashion.
Journal ArticleDOI
Critical factors for assembling a high volume of DNA barcodes
Mehrdad Hajibabaei,Jeremy R deWaard,Natalia Ivanova,Sujeevan Ratnasingham,Robert T Dooh,Stephanie L Kirk,Paula M. Mackie,Paul D. N. Hebert +7 more
TL;DR: The prospects for establishing high volume DNA barcoding facilities by evaluating key steps in the analytical chain from specimens to barcodes are discussed, with a focus on alliances with members of the taxonomic community.
Book ChapterDOI
Assembling DNA Barcodes
TL;DR: In this chapter, the protocols involved in the assembly of DNA barcode records for members of the animal kingdom are detailed, but many of these approaches are of more general application.
Journal ArticleDOI
The role of DNA barcodes in understanding and conservation of mammal diversity in southeast Asia.
Charles M. Francis,Alex V. Borisenko,Natalia Ivanova,Judith L. Eger,Burton K. Lim,Antonio Guillén-Servent,Sergei V. Kruskop,Iain Mackie,Paul D. N. Hebert +8 more
TL;DR: The results suggest that mammal species richness within the region may be underestimated by at least 50%, and there are higher levels of endemism and greater intra-specific population structure than previously recognized.