We focus on population-wide omics datasets. By curating these existing datasets, we can ensure the development of robust computational models.
- Genotype: Whole genome sequencing (>10 M SNPs)
- Raw sequencing data (Bukowski et al., 2018)
- Row VCF file on HCC:
path?- AGPV5 genome filtration MAF < 0.05 and MR > 0.6:
vcf
- AGPV5 genome filtration MAF < 0.05 and MR > 0.6:
- Randomly sampled 50k SNPs
- GitHub Path:
data/01Genotype/282_agpv5_50.recode.vcf data/01Genotype/282_agpv5_50k.txt
- GitHub Path:
- RNA-seq
- RNA-seq in seven tissues: CyVerse (Kremling et al., 2018)
- Root RNA-seq?
- Raw data?
- Process version?
- Microbiome
- Under high N and low N conditions (n=230 gentoypes x 2 N x 2 reps) (Meier et al., 2022)
- Root exudates
- Collected using GC-MS method?
- Metabolomics
- From seedling tissue with three replications (Z. Yang et al., 2022)
- Aboveground phenotypes
- More than 50 traits BLUP values
data/03Phenotype/MAP/public_pheno_282_37traits.xlsxdata/03Phenotype/MAP/public_pheno_282_mineral_ziegler.xlxs
- Six ear-related traits under different N conditions
- More than 50 traits BLUP values
- Belowground Phenotypes
- NA
Some big data were stored at OneDrive.
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- label corrected fq files
HCC: /work/jyanglab/SAP_raw_fq/
- label corrected fq files
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- Whole genome resequencing (WGS) data (Boatwright et al., 2022)
- 44 milion variants including 38 million SNPs, 5 million indels and 0.17 million CNVs
- Filteration: biallelic SNP, minor allele frequency (maf) > 0.05, missing data < 0.3, ite heterozygosity < 0.1
- Raw and filtered data on HCC Path
HCC: /common/schnablelab/hongyujin/SAPsnp/SNPallchrs/- see filteration details:
profiling/SAP_SNPfilteration/preprocessSNP.sh
- see filteration details:
- Tunable genotyping by sequencing (tGBS) ~350 lines (Miao et al., 2020)
- Data on Figshare
- Whole genome resequencing (WGS) data (Boatwright et al., 2022)
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- In field agronomic traits
- github path
data/03Phenotype/SAP/ - 2020 SAP Schnable lab (Sorghum Asscoiation panel):
- The 2020 field experiment was planted on June 8. Experimental plot consisted of one 1.52-m row of plants from a single genotype planted with a spacing of 0.76 m between parallel and sequential rows and approximately 7.62 cm in spacing between sequential plants in the same row. No supplemental nitrogen was applied to low-nitrogen treatment blocks, and a target of 80 pounds of N per acre (89.7 kilograms/hectare) was applied to sufficient nitrogen blocks. The 2020 experiment was conducted in a field located at N°40.861, W°96.598. The 2020 experiment consisted of 347 genotypes drawn from the sorghum association panel plus Tx430. A total of four blocks were planted, each consisting of 390 plots with one entry per genotype, plus BTx623 as a repeated check. Two blocks were grown under HN treatment and two under LN treatment.
- 2021 SbDiv Schnable lab (Sorghum Diversity Panel)
- The 2021 field experiment was planted on May 25. Experimental plot consisted of one 1.52-m row of plants from a single genotype planted with a spacing of 0.76 m between parallel and sequential rows and approximately 7.62 cm in spacing between sequential plants in the same row. No supplemental nitrogen was applied to low-nitrogen treatment blocks, and a target of 80 pounds of N per acre (89.7 kilograms/hectare) was applied to sufficient nitrogen blocks. The 2021 experiment was conducted in a field located at N°40.858, W°96.596. The 2021 experiment consisted of 347 genotypes replicated in two blocks, each consisting of 390 plots including the replicated check, under LN conditions as in 2020 and 911 sorghum genotypes in two blocks, each consisting of 966 plots including the replicated check under HN. The larger population in HN treatment resulted from the inclusion of sorghum genotypes from the sorghum diversity panel in addition to the previously characterized sorghum association panel (SAP) lines.
- 2023 SAP Chlorophyll (by Luyang Zhang)
- github path
- Greenhouse seedling phenotype
- 346 lines HN and LH
- Leaf number, plant height, root and shoot fresh weight, photosynthesis traits (LICOR-600), chorophyll (large missing rate)
- 346 lines HN and LH
- Panicle phenotype
- Kyle Linders thesis?
- Nathan
- In field agronomic traits
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To guide group members having a better sense about the project layout, here we briefly introduce the specific purposes of the dir system. The layout of dirs is based on the idea borrowed from ProjectTemplate.
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The guideline for the collaborative workflow.
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Check out progress and things to-do and throw ideas via the wiki page.
This is an ongoing research project. It was intended for internal lab usage. It has not been extensively tested. Use at your own risk. It is a free and open source software, licensed under GPLv3.