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Publication Year: 2018

771 to 780 of 1,196 Results

Determination of allelic variation in TaVP and TaPSTOL1 genes in 135 bread wheat and 22 durum wheat lines Oct 3, 2018 - International Wheat Yield Partnership Research Data Roy, Stuart, 2018, "Determination of allelic variation in TaVP and TaPSTOL1 genes in 135 bread wheat and 22 durum wheat lines", https://hdl.handle.net/11529/10548064, CIMMYT Research Data & Software Repository Network, V1, UNF:6:hOqYG9yfF7vAUid6wsUhUA== [fileUNF] Sequence capture data from the project IWYP39 investigating allelic variation in TaVP and TaPSTOL1 genes in 135 bread wheat and 22 durum wheat lines. Datasets also describe the sequence of the genes for different members of the gene families in bread and durum wheat.
Sequence capture_IWYP39_Hexaploids SNP.zip Oct 3, 2018 - Determination of allelic variation in TaVP and TaPSTOL1 genes in 135 bread wheat and 22 durum wheat lines ZIP Archive - 407.2 KB - MD5: f9be3dd75c29421e9ed34b61b7bb81aa Determination of allelic variation in TaVP and TaPSTOL1 genes in 135 bread wheat lines.
Sequence capture_IWYP39_Tetraploid_SNP.zip Oct 3, 2018 - Determination of allelic variation in TaVP and TaPSTOL1 genes in 135 bread wheat and 22 durum wheat lines ZIP Archive - 87.5 KB - MD5: 2320a4830148ef067a43647e7608f37b Determination of allelic variation in TaVP and TaPSTOL1 genes in 22 durum wheat lines.
Discovery of variants in the parental lines grown in the hybrid crossing block using genotyping-by-sequencing Oct 3, 2018 - International Wheat Yield Partnership Research Data Baenziger, Stephen; Belamkar, Vikas, 2018, "Discovery of variants in the parental lines grown in the hybrid crossing block using genotyping-by-sequencing", https://hdl.handle.net/11529/10548065, CIMMYT Research Data & Software Repository Network, V1 Genotyping-by-sequencing (GBS) data, variant calls and Single Nucleotide Polymorphism (SNP) calls of parental lines grown in the hybrid crossing block in 2017.
GBS_KeyFile_v2.7z Oct 3, 2018 - Discovery of variants in the parental lines grown in the hybrid crossing block using genotyping-by-sequencing 7Z Archive - 139.0 KB - MD5: 0fd71d41f9dd50bbf4bfc7420aa3ecc4 Key file associated with the FASTQ files. To request access to this file or any information related to it, please contact the IWYP Data Coordintor or Stephen Baezinger (pstephen.baenziger@gmail.com).
HCB17_SNPs_Unfiltered.recode.vcf Oct 3, 2018 - Discovery of variants in the parental lines grown in the hybrid crossing block using genotyping-by-sequencing Virtual Contact File - 734.8 MB - MD5: 8333b52c7e4d0f2ff4236e238f756203 SNP Calls. To request access to this file or any information related to it, please contact the IWYP Data Coordintor or Stephen Baezinger (pstephen.baenziger@gmail.com).
HCB17_Variants_Unfiltered.recode.vcf Oct 3, 2018 - Discovery of variants in the parental lines grown in the hybrid crossing block using genotyping-by-sequencing Virtual Contact File - 751.9 MB - MD5: 502d9643d0f4ff83ecf612312489aca5 Variant Calls. To request access to this file or any information related to it, please contact the IWYP Data Coordintor or Stephen Baezinger (pstephen.baenziger@gmail.com).
Links to FASTQ files.txt Oct 3, 2018 - Discovery of variants in the parental lines grown in the hybrid crossing block using genotyping-by-sequencing Plain Text - 521 B - MD5: 74188e20b9df5cd003b57c59f6be3d41 Temporary links to three FASTQ files with GBS data for the parental samples, stored in the University of Nebraska-Lincoln Box. To request access to these links, please contact the IWYP Data Coordinator or send a request email directly to Stephen Baenziger (pstephen.baenziger@gmai...
Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits Sep 28, 2018 - CIMMYT Research Data Montesinos-López, Osval A.; Montesinos-López, Abelardo; Crossa, Jose; Gianola, Daniel; Hernández-Suarez, Carlos Moisés; Martín-Vallejo, Javier, 2018, "Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits", https://hdl.handle.net/11529/10548134, CIMMYT Research Data & Software Repository Network, V1 This study provides supplemental data to support an investigation of the power of multi-trait deep learning (MTDL) models in terms of genomic-enabled prediction accuracy.
DataSets_Multi_trait.rar Sep 28, 2018 - Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits RAR Archive - 41.9 MB - MD5: cdd5ff94aff34916a943fe27c4bb20a6 Supporting data

Determination of allelic variation in TaVP and TaPSTOL1 genes in 135 bread wheat and 22 durum wheat lines

Oct 3, 2018 - International Wheat Yield Partnership Research Data

Roy, Stuart, 2018, "Determination of allelic variation in TaVP and TaPSTOL1 genes in 135 bread wheat and 22 durum wheat lines", https://hdl.handle.net/11529/10548064, CIMMYT Research Data & Software Repository Network, V1, UNF:6:hOqYG9yfF7vAUid6wsUhUA== [fileUNF]

Sequence capture data from the project IWYP39 investigating allelic variation in TaVP and TaPSTOL1 genes in 135 bread wheat and 22 durum wheat lines. Datasets also describe the sequence of the genes for different members of the gene families in bread and durum wheat.

Sequence capture_IWYP39_Hexaploids SNP.zip

Oct 3, 2018 - Determination of allelic variation in TaVP and TaPSTOL1 genes in 135 bread wheat and 22 durum wheat lines

ZIP Archive - 407.2 KB -

Determination of allelic variation in TaVP and TaPSTOL1 genes in 135 bread wheat lines.

Sequence capture_IWYP39_Tetraploid_SNP.zip

Oct 3, 2018 - Determination of allelic variation in TaVP and TaPSTOL1 genes in 135 bread wheat and 22 durum wheat lines

ZIP Archive - 87.5 KB -

Determination of allelic variation in TaVP and TaPSTOL1 genes in 22 durum wheat lines.

Discovery of variants in the parental lines grown in the hybrid crossing block using genotyping-by-sequencing

Oct 3, 2018 - International Wheat Yield Partnership Research Data

Baenziger, Stephen; Belamkar, Vikas, 2018, "Discovery of variants in the parental lines grown in the hybrid crossing block using genotyping-by-sequencing", https://hdl.handle.net/11529/10548065, CIMMYT Research Data & Software Repository Network, V1

Genotyping-by-sequencing (GBS) data, variant calls and Single Nucleotide Polymorphism (SNP) calls of parental lines grown in the hybrid crossing block in 2017.

GBS_KeyFile_v2.7z

Oct 3, 2018 - Discovery of variants in the parental lines grown in the hybrid crossing block using genotyping-by-sequencing

7Z Archive - 139.0 KB -

Key file associated with the FASTQ files. To request access to this file or any information related to it, please contact the IWYP Data Coordintor or Stephen Baezinger (pstephen.baenziger@gmail.com).

HCB17_SNPs_Unfiltered.recode.vcf

Oct 3, 2018 - Discovery of variants in the parental lines grown in the hybrid crossing block using genotyping-by-sequencing

Virtual Contact File - 734.8 MB -

SNP Calls. To request access to this file or any information related to it, please contact the IWYP Data Coordintor or Stephen Baezinger (pstephen.baenziger@gmail.com).

HCB17_Variants_Unfiltered.recode.vcf

Oct 3, 2018 - Discovery of variants in the parental lines grown in the hybrid crossing block using genotyping-by-sequencing

Virtual Contact File - 751.9 MB -

Variant Calls. To request access to this file or any information related to it, please contact the IWYP Data Coordintor or Stephen Baezinger (pstephen.baenziger@gmail.com).

Links to FASTQ files.txt

Oct 3, 2018 - Discovery of variants in the parental lines grown in the hybrid crossing block using genotyping-by-sequencing

Plain Text - 521 B -

Temporary links to three FASTQ files with GBS data for the parental samples, stored in the University of Nebraska-Lincoln Box. To request access to these links, please contact the IWYP Data Coordinator or send a request email directly to Stephen Baenziger (pstephen.baenziger@gmai...

Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits

Sep 28, 2018 - CIMMYT Research Data

Montesinos-López, Osval A.; Montesinos-López, Abelardo; Crossa, Jose; Gianola, Daniel; Hernández-Suarez, Carlos Moisés; Martín-Vallejo, Javier, 2018, "Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits", https://hdl.handle.net/11529/10548134, CIMMYT Research Data & Software Repository Network, V1

This study provides supplemental data to support an investigation of the power of multi-trait deep learning (MTDL) models in terms of genomic-enabled prediction accuracy.

DataSets_Multi_trait.rar

Sep 28, 2018 - Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits

RAR Archive - 41.9 MB -

Supporting data

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