T
Triinu Koressaar
Researcher at University of Tartu
Publications - 12
Citations - 9984
Triinu Koressaar is an academic researcher from University of Tartu. The author has contributed to research in topics: Genome & Bacterial genome size. The author has an hindex of 9, co-authored 12 publications receiving 8326 citations. Previous affiliations of Triinu Koressaar include University of California, Los Angeles.
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Journal ArticleDOI
Primer3—new capabilities and interfaces
Andreas Untergasser,Ioana Cutcutache,Triinu Koressaar,Jian Ye,Brant C. Faircloth,Maido Remm,Steven G. Rozen +6 more
TL;DR: Primer3’s current capabilities are described, including more accurate thermodynamic models in the primer design process, both to improve melting temperature prediction and to reduce the likelihood that primers will form hairpins or dimers.
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Enhancements and modifications of primer design program Primer3
Triinu Koressaar,Maido Remm +1 more
TL;DR: Several enhancements in the widely used primer design program Primer3 are introduced, including a formula for calculating melting temperature and a salt correction formula that can take into account the effects of divalent cations, which are included in most PCR buffers.
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Primer3_masker: integrating masking of template sequence with primer design software.
TL;DR: A novel k-mer based masking method that uses a statistical model to detect and mask failure-prone regions on the DNA template prior to primer design is developed.
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Limnobacter spp. as newly detected phenol-degraders among Baltic Sea surface water bacteria characterised by comparative analysis of catabolic genes.
Eve Vedler,Eeva Heinaru,Jekaterina Jutkina,Signe Viggor,Triinu Koressaar,Maido Remm,Ain Heinaru +6 more
TL;DR: Using a next generation sequencing approach, the LmPH genes of Limnobacter strains were found to be the most prevalent ones in the microbial community of the Baltic Sea surface water.
Journal ArticleDOI
StrainSeeker: fast identification of bacterial strains from raw sequencing reads using user-provided guide trees
Märt Roosaare,Mihkel Vaher,Lauris Kaplinski,Märt Möls,Reidar Andreson,Maarja Lepamets,Triinu Koressaar,Paul Naaber,Paul Naaber,Siiri Kõljalg,Maido Remm +10 more
TL;DR: StrainSeeker is a software program that identifies bacterial isolates by assigning them to nodes or leaves of a custom-made guide tree that can predict the clades of E. coli with 92% accuracy and correct tree branch assignment with 98% accuracy.