The Next Generation of Molecular Markers From Massively Parallel Sequencing of Pooled DNA Samples

By Andreas Futschik, Christian Schlötterer. Genetics, 2010

386 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/06545e577342e9bdcc94a9c0977742630e4fc396

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In Genetics

In Molecular Biology

Citations in the corpus

Genotyping‐by‐Sequencing for Plant Breeding and Genetics (2012, background): “, 2011), polymorphisms are discovered (Mardis, 2008; Futschik and Schlötterer, 2010; You et al., 2011; Nielsen et al., 2011), gene expression is analyzed (Geraldes et al.”
Stacks: an analysis tool set for population genomics (2013, methodology): “Areas of rapid development are the use of hidden Markov model (HMM; Boitard et al. 2013) and Bayesian approaches in population genomic analyses (Futschik & Schl € otterer 2010; Gompert et al. 2010; Buerkle & Gompert 2012).”
Robust Identification of Local Adaptation from Allele Frequencies (2012, background): “…of an unequal number of chromosomes per individual due to measurement errors, different DNA content per individual, or differences caused during DNA extraction, all of which might cause additional noise in the allele frequency estimation (Futschik and Schlötterer, 2010; Cutler and Jensen, 2010).”
A framework for incorporating evolutionary genomics into biodiversity conservation and management (2015, background): “A second alternative to individual-based WGS is combining individuals into a pool, as in Poolseq; see [51,62] (PPS).”
PoPoolation: A Toolbox for Population Genetic Analysis of Next Generation Sequencing Data from Pooled Individuals (2011, background): “The typical error rate of unprocessed reads from an Illumina sequencer is about 1%. As sequencing errors inevitably affect the polymorphism estimates and Tajima's D, it is highly desirable to reduce the sequencing error. It has been proposed to condition on a minor allele count larger than one, resu”
Applications of next generation sequencing in molecular ecology of non-model organisms (2011, methodology): “Both data from individually sequenced samples or samples of pooled individuals are useful to this end (Futschik and Schlötterer, 2010).”
Applications of next-generation sequencing to the study of biological invasions (2015, methodology): “The NGS of pooled DNA affords a reliable method for genome-wide analysis of large numbers of samples (Futschik and Schlötterer, 2010), and tools are available specifically for analyzing pooled data (Bansal, 2010; Kofler et al.”