Publications by authors named "Richard J Barker"

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Expanding frontiers: harnessing plant biology for space exploration and planetary sustainability.
Luke L Fountain, Matthew Gilliham, Chiara Amitrano, Nafiou Arouna, Richard J Barker

New Phytol· January 2026

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Space-driven ROS in cells: a hidden danger to astronaut health and food safety.
Majid Mokhtari, Sigrid S Reinsch, Borja Barbero Barcenilla, Kobra Ziyaei, Richard John Barker

NPJ Microgravity· August 2025

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Critical investments in bioregenerative life support systems for bioastronautics and sustainable lunar exploration.
D Marshall Porterfield, Dana Tulodziecki, Raymond Wheeler, Mai'a K Davis Cross, Oscar Monje, Richard J Barker

NPJ Microgravity· August 2025

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Estimating population size: The importance of model and estimator choice.
Matthew R Schofield, Richard J Barker, William A Link, Heloise Pavanato

Biometrics· December 2023

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NASA GeneLab RNA-seq consensus pipeline: standardized processing of short-read RNA-seq data.
Eliah G Overbey, Amanda M Saravia-Butler, Zhe Zhang, Komal S Rathi, Homer Fogle, Richard J Barker

iScience· April 2021

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Rejoinder to "On continuous-time capture-recapture in closed populations".
Matthew R Schofield, Richard J Barker

Biometrics· September 2020

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Variation in the transcriptome of different ecotypes of Arabidopsis thaliana reveals signatures of oxidative stress in plant responses to spaceflight.
Won-Gyu Choi, Richard J Barker, Su-Hwa Kim, Sarah J Swanson, Simon Gilroy

Am J Bot· January 2019

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A low-cost and open-source platform for automated imaging.
Max R Lien, Richard J Barker, Zhiwei Ye, Matthew H Westphall, Ruohan Gao

Plant Methods· January 2019

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On the robustness of N-mixture models.
William A Link, Matthew R Schofield, Richard J Barker, John R Sauer

Ecology· July 2018

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Continuous-time capture-recapture in closed populations.
Matthew R Schofield, Richard J Barker, Nicholas Gelling

Biometrics· June 2018

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On the reliability of N-mixture models for count data.
Richard J Barker, Matthew R Schofield, William A Link, John R Sauer

Biometrics· March 2018

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Closed-population capture-recapture modeling of samples drawn one at a time.
Richard J Barker, Matthew R Schofield, Janine A Wright, Alain C Frantz, Chris Stevens

Biometrics· December 2014

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Modeling individual specific fish length from capture-recapture data using the von Bertalanffy growth curve.
Matthew R Schofield, Richard J Barker, Peter Taylor

Biometrics· December 2013

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Incorporating genotype uncertainty into mark-recapture-type models for estimating abundance using DNA samples.
Janine A Wright, Richard J Barker, Matthew R Schofield, Alain C Frantz, Andrea E Byrom

Biometrics· September 2009

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Efficient estimation of abundance for patchily distributed populations via two-phase, adaptive sampling.
Michael J Conroy, Jonathan P Runge, Richard J Barker, Matthew R Schofield, Christopher J Fonnesbeck

Ecology· December 2008

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Inference about magnitudes of effects.
Richard J Barker, Matthew R Schofield

Int J Sports Physiol Perform· December 2008

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Classifying individuals as physiological responders using hierarchical modeling.
Richard J Barker, Matthew R Schofield

J Appl Physiol (1985)· August 2008

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Model weights and the foundations of multimodel inference.
William A Link, Richard J Barker

Ecology· October 2006

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Modeling association among demographic parameters in analysis of open population capture-recapture data.
William A Link, Richard J Barker

Biometrics· March 2005

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