Maize Mo17 SNPs
2018-07-11
Loading...
Persistent link to this item
Statistics
View StatisticsKeywords
Collection period
Date completed
Date updated
Time period coverage
Geographic coverage
Source information
Journal Title
Journal ISSN
Volume Title
Title
Maize Mo17 SNPs
Published Date
2018-07-11
Authors
Author Contact
Zhou, Peng
zhoux379@umn.edu
zhoux379@umn.edu
Type
Dataset
Genomics Data
Genomics Data
Abstract
Genome resequencing of Mo17 was done as part of the bioMAP project (REF). 477 million 100bp paired-end reads were generated for Mo17 giving an average of 95x coverage. Reads were first trimmed by Trimmomatic (Bolger et al. 2014) and mapped to the maize B73 genome AGPv4 (Jiao et al. 2017) using BWA-MEM (Li and Durbin 2010). PCR duplicates were marked and removed using GATK (McKenna et al. 2010). Variants were called by GATK haplotypecaller and filtered using different filters for SNPs: (QD > 2, FS < 60, MQ > 40, MQRankSum > -12.5, ReadPosRankSum > -8, SOR < 4) and for InDels: (QD > 2, FS < 200, ReadPosRankSum > -20, SOR < 10). Moreover, variants located in regions with unusually high coverage (DP > Mean + 2*SD) and heterozygous calls (GT == '0/1') were also removed. The final variant file containing 8.04 million variants with 164 thousand CDS variants was deposited in DRUM.
Description
Referenced by
Related to
Replaces
item.page.isreplacedby
License
Publisher
Collections
Funding information
item.page.sponsorshipfunderid
item.page.sponsorshipfundingagency
item.page.sponsorshipgrant
Previously Published Citation
Other identifiers
Suggested citation
Zhou, Peng. (2018). Maize Mo17 SNPs. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/D6T38X.
View/Download File
File View/Open
Description
Size
Mo17.vcf.gz
Zmays_Mo17_SNP.vcf.gz
(210.58 MB)
Readme.txt
Readme
(4.06 KB)
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.