# HG changeset patch # User cropgeeks # Date 1524386684 14400 # Node ID 558a46a635a95da38a025e49352df17c63c65953 # Parent d1d232d4cb2f4357ac6a623b5bcf173a1eacbd7b Uploaded diff -r d1d232d4cb2f -r 558a46a635a9 ukseed_stage1.xml --- a/ukseed_stage1.xml Fri Apr 20 14:44:25 2018 -0400 +++ b/ukseed_stage1.xml Sun Apr 22 04:44:44 2018 -0400 @@ -27,11 +27,17 @@ -In **UK-SeeD Data Analysis Infrastructure**, a BBSRC-Newton funded project, we have deployed an advanced computing hardware and software platform for the -analysis of large genomics datasets for wheat varieties. The platform integrates computing resources and bioinformatics expertise to -enable crop geneticists to implement sophisticated data analysis algorithms to improve the use of genetic resources for wheat and -other important crops. The computing platform is distributed across the partners’ sites with hardware deployed at CIMMYT (Mexico) and -the Earlham Institute (UK). +This pipeline has been developed for loading a DArT SNP or SilicoDArT, report and apply filters to those datasets based on locus and +individuals call rates and locus reproducibility. It also allows data export for other formats such as GDS, plink bed and a text file +with a header line, and then one line per sample with V+6 where V is the number of variants suitable for loading into R. Finally the +pipeline perform a Principal Coordinates Analysis (PCoA, = Multidimensional scaling, MDS) to explore similarities of data and outputs +a vcf file suitable for visualizing in CurlyWhirly. + +In **UK-SeeD Data Analysis Infrastructure**, a BBSRC-Newton funded project, we have deployed an advanced computing hardware and software +platform for the analysis of large genomics datasets for wheat varieties. The platform integrates computing resources and bioinformatics +expertise to enable crop geneticists to implement sophisticated data analysis algorithms to improve the use of genetic resources for +wheat and other important crops. The computing platform is distributed across the partners’ sites with hardware deployed at CIMMYT +(Mexico) and the Earlham Institute (UK). |LOGOS| diff -r d1d232d4cb2f -r 558a46a635a9 ukseed_stage2.xml --- a/ukseed_stage2.xml Fri Apr 20 14:44:25 2018 -0400 +++ b/ukseed_stage2.xml Sun Apr 22 04:44:44 2018 -0400 @@ -21,14 +21,11 @@ - + - + - + @@ -40,11 +37,17 @@ -In **UK-SeeD Data Analysis Infrastructure**, a BBSRC-Newton funded project, we have deployed an advanced computing hardware and software platform for the -analysis of large genomics datasets for wheat varieties. The platform integrates computing resources and bioinformatics expertise to -enable crop geneticists to implement sophisticated data analysis algorithms to improve the use of genetic resources for wheat and -other important crops. The computing platform is distributed across the partners’ sites with hardware deployed at CIMMYT (Mexico) and -the Earlham Institute (UK). +This pipeline has been developed for loading a DArT SNP or SilicoDArT, report and apply filters to those datasets based on locus and +individuals call rates and locus reproducibility. It also allows data export for other formats such as GDS, plink bed and a text file +with a header line, and then one line per sample with V+6 where V is the number of variants suitable for loading into R. Finally the +pipeline perform a Principal Coordinates Analysis (PCoA, = Multidimensional scaling, MDS) to explore similarities of data and outputs +a vcf file suitable for visualizing in CurlyWhirly. + +In **UK-SeeD Data Analysis Infrastructure**, a BBSRC-Newton funded project, we have deployed an advanced computing hardware and software +platform for the analysis of large genomics datasets for wheat varieties. The platform integrates computing resources and bioinformatics +expertise to enable crop geneticists to implement sophisticated data analysis algorithms to improve the use of genetic resources for +wheat and other important crops. The computing platform is distributed across the partners’ sites with hardware deployed at CIMMYT +(Mexico) and the Earlham Institute (UK). |LOGOS|