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Additional file 1: of Spatiotemporal trends in the discovery of new swine infectious agents
- 负责人：
- 关键词：
- Ecology Medicine Microbiology Genetics 59999 Environmental Sciences not elsewhere classified 69999 Biological Sciences not elsewhere classified Cancer 110309 Infectious Diseases 60506 Virology Computational Biology
- DOI：
- doi:10.6084/m9.figshare.c.3635666_d3.v1
- 摘要：
- (1: swine-specific, 2: infect other animal species, 3: host range includes humans), *: Only rotavirus variants classified according to the nucleoti
Additional file 1: of Spatiotemporal trends in the discovery of new swine infectious agents
- 负责人：
- 关键词：
- Ecology Medicine Microbiology Genetics 59999 Environmental Sciences not elsewhere classified 69999 Biological Sciences not elsewhere classified Cancer 110309 Infectious Diseases 60506 Virology Computational Biology
- DOI：
- doi:10.6084/m9.figshare.c.3635666_d3
- 摘要：
- (1: swine-specific, 2: infect other animal species, 3: host range includes humans), *: Only rotavirus variants classified according to the nucleoti
Data from: AMAS: a fast tool for large alignment manipulation and computing of summary statistics
- 负责人：
- DOI：
- doi:10.5061/dryad.p2q52
- 摘要：
- of genes or concatenated sequences. Computationally efficient tools for handling and computing properties of thousands of single-locus or large concatenated
Data from: Oscillatory signatures underlie growth regimes in Arabidopsis pollen tubes: computational methods to estimate tip location, periodicity
- 负责人：
- DOI：
- doi:10.5061/dryad.6806c
- 摘要：
- . Our computational approach includes a new tip detection method with subpixel resolution using linear regression, showing improved ability to detect oscillations when comp
MOESM4 of Genomic selection models double the accuracy of predicted breeding values for bacterial cold water disease resistance comp
- 负责人：
- 关键词：
- Biotechnology Genetics Evolutionary Biology Ecology 19999 Mathematical Sciences not elsewhere classified Inorganic Chemistry 110309 Infectious Diseases Plant Biology Computational Biology
- DOI：
- doi:10.6084/m9.figshare.c.3680542_d4.v1
- 摘要：
- ) of rainbow trout. The GEBV for the binary trait STATUS estimated on the underlying scale of liability using a threshold animal model are shown as transform
MOESM4 of Genomic selection models double the accuracy of predicted breeding values for bacterial cold water disease resistance comp
- 负责人：
- 关键词：
- Biotechnology Genetics Evolutionary Biology Ecology 19999 Mathematical Sciences not elsewhere classified Inorganic Chemistry Infectious Diseases Plant Biology Computational Biology
- DOI：
- doi:10.6084/m9.figshare.c.3680542_d4
- 摘要：
- ) of rainbow trout. The GEBV for the binary trait STATUS estimated on the underlying scale of liability using a threshold animal model are shown as transform
MOESM1 of Genomic selection models double the accuracy of predicted breeding values for bacterial cold water disease resistance comp
- 负责人：
- 关键词：
- Biotechnology Medicine Genetics Evolutionary Biology Ecology Cancer Inorganic Chemistry Infectious Diseases Plant Biology Computational Biology
- DOI：
- doi:10.6084/m9.figshare.c.3680542_d2
- 摘要：
- ) in progeny testing families (PTF) of rainbow trout. The EBV and GEBV for the binary trait STATUS estimated on the underlying scale of liability using a threshold
MOESM1 of Genomic selection models double the accuracy of predicted breeding values for bacterial cold water disease resistance comp
- 负责人：
- 关键词：
- Biotechnology Medicine Genetics Evolutionary Biology Ecology Cancer Inorganic Chemistry 110309 Infectious Diseases Plant Biology Computational Biology
- DOI：
- doi:10.6084/m9.figshare.c.3680542_d2.v1
- 摘要：
- ) in progeny testing families (PTF) of rainbow trout. The EBV and GEBV for the binary trait STATUS estimated on the underlying scale of liability using a threshold
Data from: A novel open access web portal for integrating mechanistic and toxicogenomic study results
- 负责人：
- DOI：
- doi:10.5061/dryad.159h65k
- 摘要：
- ce” methods in computational biology. New study results are compared to over 4,000 rodent liver experiments from Drug Matrix and open TG-GATEs. A unique
Data from: The implicitome: a resource for rationalizing gene-disease associations
- 负责人：
- 关键词：
- DOI：
- doi:10.5061/dryad.gn219
- 摘要：
- ers of potential relations between genetic variants and diseases. Both biological complexity (millions of potential gene-disease associations) and the accelerati
