Diversity arrays technology: a generic genome profiling technology on open platforms.

By A. Kilian, P. Wenzl, E. Huttner, J. Carling, L. Xia, H. Blois, Vanessa Caig, K. Heller-Uszyńska, D. Jaccoud, C. Hopper and 6 more. Methods in molecular biology, 2012

822 citations recorded by the source corpus.

Subfields: Molecular Biology, Plant Science

View Paper: https://www.semanticscholar.org/paper/e3318062faf079ef518009ca92eb4aa155c6f540

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In Molecular Biology

1. A. Rivera-Colón
2. Nicolas C. Rochette
3. Julian Catchen
4. M. Gowda
5. Deren A. R. Eaton

In Plant Science

1. Nicolas C. Rochette
2. A. Rivera-Colón
3. Julian Catchen

Citations in the corpus

• Genetic and Genomic Resources of Small Millets (2016, background): “…which have potentially led to discovery of SNP markers and genetic analysis even in non-model crop plants (Wenzl et al., 2004; Davey et al., 2011; Etter et al., 2011; Elshire et al., 2011; Poland et al., 2012; Kilian et al., 2012; Petroli et al., 2012), may be adopted as alternative approaches.”
• dartr: An r package to facilitate analysis of SNP data generated from reduced representation genome sequencing (2018, neutral): “…sequencing (RADSeq), double digest RADSeq (ddRADSeq) and DarTSeq (Andrews, Good, Miller, Luikart, & Hohenlohe, 2016; Baird et al., 2008; Jaccoud, Peng, Feinstein, & Kilian, 2001; Kilian et al., 2012; Peterson, Weber, Kay, Fisher, & Hoekstra, 2012; Sansaloni et al., 2011; van Tassell et al., 2008).”
• Stacks 2: Analytical Methods for Paired-end Sequencing Improve RADseq-based Population Genomics (2019, methodology): “Stacks v2 supports nearly all major protocols for reduced represen‐ tation, marker‐based experiments, including single‐ and double‐di‐ gest RAD and DaRT (Kilian et al., 2012), using single‐ or paired‐end sequencing, as well as 2bRAD and GBS using single‐end sequenc‐ ing.”
• Genomic Selection for Crop Improvement (2017, neutral): “ordered categorical scores, such as susceptibility or resistance to a disease and reproductive traits such as calving difficulty (Kizilkaya et al. 2014). The goal of this study was to quantify reductions in accuracy for ordinal categorical traits relative to continuous traits (Kizilkaya et al. 2014)”