2013
DOI: 10.1111/mec.12354
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Stacks: an analysis tool set for population genomics

Abstract: Massively parallel short-read sequencing technologies, coupled with powerful software platforms, are enabling investigators to analyse tens of thousands of genetic markers. This wealth of data is rapidly expanding and allowing biological questions to be addressed with unprecedented scope and precision. The sizes of the data sets are now posing significant data processing and analysis challenges. Here we describe an extension of the Stacks software package to efficiently use genotype-by-sequencing data for stud… Show more

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Cited by 3,304 publications
(3,425 citation statements)
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References 105 publications
(200 reference statements)
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“…PyRAD is expected to outperform Stacks in phylogenetic samples (Eaton, 2014), making it a better fit to our multispecies sample. Stacks is more suitable for the analysis of population data (Catchen et al., 2013) and may be as effective as PyRAD for within‐species studies or studies among two close relatives, but our results support previous findings that at least in a phylogenetically structured multispecies context, PyRAD is likely to be more efficient at detecting shared loci.…”
Section: Discussionsupporting
confidence: 87%
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“…PyRAD is expected to outperform Stacks in phylogenetic samples (Eaton, 2014), making it a better fit to our multispecies sample. Stacks is more suitable for the analysis of population data (Catchen et al., 2013) and may be as effective as PyRAD for within‐species studies or studies among two close relatives, but our results support previous findings that at least in a phylogenetically structured multispecies context, PyRAD is likely to be more efficient at detecting shared loci.…”
Section: Discussionsupporting
confidence: 87%
“…For comparison, RAD‐seq data were also clustered using Stacks (Catchen, Amores, Hohenlohe, Cresko, & Postlethwait, 2011; Catchen, Hohenlohe, Bassham, Amores, & Cresko, 2013). Barcodes were first removed using gawk prior to filtering out low‐quality reads with the “process_radtags” module of Stacks (Catchen et al., 2011, 2013).…”
Section: Methodsmentioning
confidence: 99%
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“…Highly repetitive RAD loci, characterized as any loci with a stack depth greater than two standard deviations from the mean, as well as all stacks that differ from these repetitive loci by only one nucleotide, were removed to reduce the potential effects of PCR duplicates and fragment size bias. SNPs were detected within each stack in the catalogs using a bounded maximum‐likelihood model (Catchen, Hohenlohe, Bassham, Amores, & Cresko, 2013). …”
Section: Methodsmentioning
confidence: 99%
“…In brief, for all nine populations, DNA from six individuals was pooled, barcoded, and used for RAD‐seq library construction and sequencing. The program Stacks (Catchen, Amores, Hohenlohe, Cresko, & Postlethwait, 2011; Catchen, Hohenlohe, Bassham, Amores, & Cresko, 2013) was then used to identify and genotype loci. Only loci that were fixed within populations and variable between were used for subsequent analysis.…”
Section: Methodsmentioning
confidence: 99%