Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Nathan T, Weeks"'
Autor:
Joel Berendzen, Anne V. Brown, Connor T. Cameron, Jacqueline D. Campbell, Alan M. Cleary, Sudhansu Dash, Samuel Hokin, Wei Huang, Scott R. Kalberer, Rex T. Nelson, Sven Redsun, Nathan T. Weeks, Andrew Wilkey, Andrew D. Farmer, Steven B. Cannon
Publikováno v:
Legume Science, Vol 3, Iss 3, Pp n/a-n/a (2021)
Abstract The Legume Information System (LIS; https://legumeinfo.org) houses genetic and genomic data, integrated in various online tools to allow comparative genomic analyses. The website and database maintain data for more than two dozen species, pa
Externí odkaz:
https://doaj.org/article/88581ad44e754a0bae55c177f02a8874
Autor:
Anne V Brown, Jacqueline D Campbell, Teshale Assefa, David Grant, Rex T Nelson, Nathan T Weeks, Steven B Cannon
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 12, p e1006472 (2018)
As sequencing prices drop, genomic data accumulates-seemingly at a steadily increasing pace. Most genomic data potentially have value beyond the initial purpose-but only if shared with the scientific community. This, of course, is often easier said t
Externí odkaz:
https://doaj.org/article/ace565e681aa453d92c631df10f14f6f
Autor:
Andrew Wilkey, Rex T. Nelson, Michelle A. Graham, Anne V. Brown, Nathan T. Weeks, Steven B. Cannon, David Grant, Wei Huang, Shawn I Conners
Publikováno v:
Nucleic Acids Res
SoyBase, a USDA genetic and genomics database, holds professionally curated soybean genetic and genomic data, which is integrated and made accessible to researchers and breeders. The site holds several reference genome assemblies, as well as genetic
Autor:
Sven, Redsun, Sam, Hokin, Connor T, Cameron, Alan M, Cleary, Joel, Berendzen, Sudhansu, Dash, Anne V, Brown, Andrew, Wilkey, Jacqueline D, Campbell, Wei, Huang, Scott R, Kalberer, Nathan T, Weeks, Steven B, Cannon, Andrew D, Farmer
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2443
In this chapter, we introduce the main components of the Legume Information System ( https://legumeinfo.org ) and several associated resources. Additionally, we provide an example of their use by exploring a biological question: is there a common mol
Autor:
Sven Redsun, Sam Hokin, Connor T. Cameron, Alan M. Cleary, Joel Berendzen, Sudhansu Dash, Anne V. Brown, Andrew Wilkey, Jacqueline D. Campbell, Wei Huang, Scott R. Kalberer, Nathan T. Weeks, Steven B. Cannon, Andrew D. Farmer
Publikováno v:
Plant Bioinformatics ISBN: 9781071620663
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3ddb64f2fc0a09f6bf356b0d2f4cbd6
https://doi.org/10.1007/978-1-0716-2067-0_4
https://doi.org/10.1007/978-1-0716-2067-0_4
Autor:
Nathan T. Weeks, Glenn R. Luecke
Publikováno v:
Cluster Computing. 20:1869-1880
SAMtools is a widely-used genomics application for post-processing high-throughput sequence alignment data. Such sequence alignment data are commonly sorted to make downstream analysis more efficient. However, this sorting process itself can be compu
Publikováno v:
SIGGRAPH Asia Posters
Autor:
Steven B. Cannon, Nathan T. Weeks, David Grant, Anne V. Brown, Teshale Assefa, Rex T. Nelson, Jacqueline D. Campbell
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 14, Iss 12, p e1006472 (2018)
PLoS Computational Biology, Vol 14, Iss 12, p e1006472 (2018)
As sequencing prices drop, genomic data accumulates-seemingly at a steadily increasing pace. Most genomic data potentially have value beyond the initial purpose-but only if shared with the scientific community. This, of course, is often easier said t
Autor:
James E. Koltes, Nathan T. Weeks, Glenn R. Luecke, Brandon M. Groth, James M. Reecy, Li Ma, Marina Kraeva, Luke M. Kramer
Publikováno v:
The International Journal of High Performance Computing Applications. 32:321-336
epiSNP is a program for identifying pairwise single nucleotide polymorphism (SNP) interactions (epistasis) in quantitative-trait genome-wide association studies (GWAS). A parallel MPI version (EPISNPmpi) was created in 2008 to address this computatio
Publikováno v:
CLUSTER
Powerful high performance computing systems of the future are expected to have higher failure rates than current systems. As a result, HPC applications running on such future systems are more likely to encounter a system failure than on today's machi