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Journal ArticleDOI

Sequencing pools of individuals — mining genome-wide polymorphism data without big funding

Christian Schlötterer, +3 more
- 01 Nov 2014 - 
- Vol. 15, Iss: 11, pp 749-763
TLDR
This Review demonstrates the breadth of questions that are being addressed by Pool-seq but also discusses its limitations and provides guidelines for users.
Abstract
The analysis of polymorphism data is becoming increasingly important as a complementary tool to classical genetic analyses. Nevertheless, despite plunging sequencing costs, genomic sequencing of individuals at the population scale is still restricted to a few model species. Whole-genome sequencing of pools of individuals (Pool-seq) provides a cost-effective alternative to sequencing individuals separately. With the availability of custom-tailored software tools, Pool-seq is being increasingly used for population genomic research on both model and non-model organisms. In this Review, we not only demonstrate the breadth of questions that are being addressed by Pool-seq but also discuss its limitations and provide guidelines for users.

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Citations
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Harnessing the power of RADseq for ecological and evolutionary genomics

TL;DR: This Review provides a comprehensive discussion of RADseq methods to aid researchers in choosing among the many different approaches and avoiding erroneous scientific conclusions from RADseq data, a problem that has plagued other genetic marker types in the past.
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A practical guide to environmental association analysis in landscape genomics

TL;DR: Expected future directions in the field of landscape genomics are summarized, such as the extension of statistical approaches, environmental association analysis for ecological gene annotation, and the need for replication and post hoc validation studies.
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A genomic perspective on hybridization and speciation.

TL;DR: It is argued that converting genomic patterns into useful inferences about hybridization will ultimately require models and methods that directly incorporate key ingredients of speciation, including the dynamic nature of gene flow, selection acting in hybrid populations and recombination rate variation.
Journal ArticleDOI

Interpreting the genomic landscape of speciation: a road map for finding barriers to gene flow.

TL;DR: It is argued that the availability of promising technical and analytical methods will shed further light on the important roles that gene flow and divergent selection have in shaping the genomic landscape of speciation and proposes a road map for future speciation research.
Journal ArticleDOI

Making sense of genomic islands of differentiation in light of speciation.

TL;DR: This Review explores methodological trends in speciation genomic studies, highlights the difficulty in separating processes related to speciation from those emerging from genome-wide properties that are not related to reproductive isolation, and provides a set of suggestions for future work in this area.
References
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Journal ArticleDOI

Fast gapped-read alignment with Bowtie 2

TL;DR: Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data

TL;DR: The GATK programming framework enables developers and analysts to quickly and easily write efficient and robust NGS tools, many of which have already been incorporated into large-scale sequencing projects like the 1000 Genomes Project and The Cancer Genome Atlas.
Journal ArticleDOI

Cutadapt removes adapter sequences from high-throughput sequencing reads

TL;DR: The command-line tool cutadapt is developed, which supports 454, Illumina and SOLiD (color space) data, offers two adapter trimming algorithms, and has other useful features.
Journal ArticleDOI

RNA-Seq: a revolutionary tool for transcriptomics

TL;DR: The RNA-Seq approach to transcriptome profiling that uses deep-sequencing technologies provides a far more precise measurement of levels of transcripts and their isoforms than other methods.
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