| Download | - View author's version: Analysis of genotyping-by-sequencing (Gbs) data (PDF, 634 KB)
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| DOI | Resolve DOI: https://doi.org/10.1007/978-1-4939-3167-5_15 |
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| Author | Search for: Kagale, Sateesh1; Search for: Koh, Chushin1; Search for: Clarke, Wayne E.; Search for: Bollina, Venkatesh1; Search for: Parkin, Isobel A. P.1; Search for: Sharpe, Andrew G.1 |
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| Name affiliation | - National Research Council of Canada. Aquatic and Crop Resource Development
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| Format | Text, Book chapter |
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| Subject | bowtie; demultiplexing, Read map ping; GATK; GBS; denetic variation; denotyping; denotyping -by-sequencing; haplotype; haplotypecaller; imputation; InDels; minor allele frequency; next generation sequencing; RAD-seq; reduced representation sequencing; SAMtools; single nucleotide polymorphism; trimmomatic; unifiedgenotyper |
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| Abstract | The development of genotyping-by-sequencing (GBS) to rapidly detect nucleotide variation at the whole genome level, in many individuals simultaneously, has provided a transformative genetic profiling technique. GBS can be carried out in species with or without reference genome sequences yields huge amounts of potentially informative data. One limitation with the approach is the paucity of tools to transform the raw data into a format that can be easily interrogated at the genetic level. In this chapter we describe bioinformatics tools developed to address this shortfall together with experimental design considerations to fully leverage the power of GBS for genetic analysis. |
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| Publication date | 2016 |
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| Publisher | Springer |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 23000693 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction |
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| Record identifier | 2ebe20b9-f190-4f15-a0a5-a8789df676f1 |
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| Record created | 2016-08-24 |
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| Record modified | 2020-06-18 |
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