Reecy, J.; Carson, J.; McCarthy, F.; Koltes, J.; Fritz-Waters, E.; Williams, J.; Lyons, E.; Baes, Christine F.; Vaughn, M. (2014). Cyberinfrastructure for Life Sciences - iAnimal Resources for Genomics and Other Data Driven Biology In: WCGALP 2014 : Proceedings of the 10th World Congress on Genetics Applied to Livestock Production. Vancouver. 17.-22.08.2014.
|
Text
cyberinfrastructure-life-sciences-ianimal-resources-genomics-and-other-data-driven-biology.pdf - Published Version Available under License Creative Commons: Attribution-Noncommercial-No Derivative Works (CC-BY-NC-ND). Download (261kB) | Preview |
Whole genome sequence, SNPs, copy number variation, phenotypes and other “-omics” data underlie evidence-based estimations of breeding value. Unfortunately, the computational resources (data storage, high-performance computing, analysis pipelines, etc.) that exploit this knowledge are limited in availability – many investigations are therefore restricted to the commercial sector or well-funded academic programs. Cyberinfrastructure developed by the iPlant Collaborative (NSF-#DBI0735191) and its extension iAnimal (USDA-#2013-67015-21231) provides the animal breeding community a comprehensive and freely available platform for the storage, sharing, and analyses of large datasets – from genomes to phenotype data. iPlant/iAnimal tools support a variety of genotype-phenotype related analyses in a platform that accommodates every level of user – from breeder to bioinformatician. These tools have been used to develop scalable, accessible versions of common workflows required for applying sequencing to livestock genomics.
Item Type: |
Conference or Workshop Item (Paper) |
|---|---|
Division/Institute: |
School of Agricultural, Forest and Food Sciences HAFL > Resource-efficient agricultural production systems School of Agricultural, Forest and Food Sciences HAFL > Agriculture |
Name: |
Reecy, J.; Carson, J.; McCarthy, F.; Koltes, J.; Fritz-Waters, E.; Williams, J.; Lyons, E.; Baes, Christine F. and Vaughn, M. |
Subjects: |
Q Science > QH Natural history > QH426 Genetics S Agriculture > S Agriculture (General) |
Language: |
English |
Submitter: |
Service Account |
Date Deposited: |
10 Mar 2020 11:29 |
Last Modified: |
18 May 2020 15:24 |
Related URLs: |
|
Uncontrolled Keywords: |
bioinformatics; breeding; analysis pipeline; high-performance computing; next generation sequencing; variant calling |
ARBOR DOI: |
10.24451/arbor.7399 |
URI: |
https://arbor.bfh.ch/id/eprint/7399 |
Actions (login required)
 |
View Item |