Supplemental Magnesium in Diets for Growing Pullets and Hens: Growth, Skeletal Development, and Egg Production

Autor: M.S. Lilburn, E.E.M. Pierson, C.I. Robison, D. Karcher

Publikováno v: Journal of Applied Poultry Research, Vol 28, Iss 4, Pp 1202-1209 (2019)

SUMMARY: Growing pullets and subsequently laying hens were fed practical type corn-soybean meal diets with and without 0.1% supplemental magnesium oxide (MgO) through 36 wk of age. During the pullet phase, one half the chicks were allowed access to p

Externí odkaz: https://doaj.org/article/1450503fe4ac4b60a42c08f6b6214cb3

Quantifying and Mitigating the Effect of Preferential Sampling on Phylodynamic Inference.

Autor: Michael D Karcher, Julia A Palacios, Trevor Bedford, Marc A Suchard, Vladimir N Minin

Publikováno v: PLoS Computational Biology, Vol 12, Iss 3, p e1004789 (2016)

Phylodynamics seeks to estimate effective population size fluctuations from molecular sequences of individuals sampled from a population of interest. One way to accomplish this task formulates an observed sequence data likelihood exploiting a coalesc

Externí odkaz: https://doaj.org/article/9d01366323b64482b46a413698afd00a

The little Galaxies that could (reionize the universe): predicting faint end slopes & escape fractions at z>4

Autor: Thomas R. Quinn, Fabio Governato, James Wadsley, Michael D. Karcher, Lauren Anderson

Publikováno v: Monthly Notices of the Royal Astronomical Society. 468:4077-4092

The sources that reionized the universe are still unknown, but likely candidates are faint but numerous galaxies. In this paper we present results from running a high resolution, uniform volume simulation, the Vulcan, to predict the number densities

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc6524392520e2520c93cf826100fa91
https://doi.org/10.1093/mnras/stx709

An efficient Bayesian inference framework for coalescent-based nonparametric phylodynamics

Autor: Michael D. Karcher, Shiwei Lan, Vladimir N. Minin, Babak Shahbaba, Julia A. Palacios

Publikováno v: Bioinformatics (Oxford, England), vol 31, iss 20
Lan, S; Palacios, JA; Karcher, M; Minin, VN; & Shahbaba, B. (2015). An efficient Bayesian inference framework for coalescent-based nonparametric phylodynamics. Bioinformatics, 31(20), 3282-3289. doi: 10.1093/bioinformatics/btv378. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/6p23s3h0

Motivation: The field of phylodynamics focuses on the problem of reconstructing population size dynamics over time using current genetic samples taken from the population of interest. This technique has been extensively used in many areas of biology

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64978971b2c442c3f1809c45b33f115b
https://doi.org/10.1093/bioinformatics/btv378

PHYLODYN: an R package for phylodynamic simulation and inference

Autor: Julia A. Palacios, Shiwei Lan, Michael D. Karcher, Vladimir N. Minin

Publikováno v: Karcher, MD; Palacios, JA; Lan, S; & Minin, VN. (2017). PHYLODYN: an R package for phylodynamic simulation and inference. MOLECULAR ECOLOGY RESOURCES, 17(1), 96-100. doi: 10.1111/1755-0998.12630. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/0pm7d4nk

We introduce phylodyn, an R package for phylodynamic analysis based on gene genealogies. The package main functionality is Bayesian nonparametric estimation of effective population size fluctuations over time. Our implementation includes several Mark

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c90194730e511ec650e1270d76421277
http://www.escholarship.org/uc/item/0pm7d4nk