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ZENODO
Dataset . 2016
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2016
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2016
License: CC BY
Data sources: Datacite
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Structural Variant Discovery And Genotyping In Next-Generation Sequencing Data

Authors: Gilks, William;

Structural Variant Discovery And Genotyping In Next-Generation Sequencing Data

Abstract

Code, logs, data, and summaries for detection and genotyping of genomic structural variants in the D.melanogaster Sussex LHM hemiclones (and one in-house reference line individual), using Genomestrip/2.0 The unfiltered CNV pipleline results are lhm_gs.cnvs.raw.vcf.gz Filtered CNV results (including removal of bad samples) are filtered.goodS.lhm_gs.cnvs.raw.vcf.gz The file uploaded to NCBI dbVAR (which comprises of the filtered CNVs and indels >50bp from the HaplotypeCaller method) is lhm_sx16.dbVAR.vcf.gz The NCBI dbVAR accession number is nstd134. Code, logs and summary data are in the zipped archives, named accordingly. The archive reference_data.zip contains additional input files required for Genomestrip, including a shell script for making some of them. The file gstrip_lhm_RG_bams.list is also an input for Genomestrip, indicating bam file names and paths. The pre-print manuscript for this data is available on biorxiv: "Whole genome resequencing of a laboratory-adapted Drosophila melanogaster population sample" http://biorxiv.org/content/early/2016/10/17/081554 doi: http://dx.doi.org/10.1101/081554

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Keywords

FOS: Computer and information sciences, Bioinformatics, FOS: Biological sciences, NGS, CNV, Genetics, Drosophila, Genomics

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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impulse
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