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Items: 8

1.

Putative cis-regulatory elements predict iron deficiency responses in Arabidopsis roots.

Schwarz B, Azodi CB, Shiu SH, Bauer P.

Plant Physiol. 2020 Jan 14. pii: pp.00760.2019. doi: 10.1104/pp.19.00760. [Epub ahead of print]

2.

Transcriptome-Based Prediction of Complex Traits in Maize.

Azodi CB, Pardo J, VanBuren R, de Los Campos G, Shiu SH.

Plant Cell. 2020 Jan;32(1):139-151. doi: 10.1105/tpc.19.00332. Epub 2019 Oct 22.

3.

Cis-Regulatory Code for Predicting Plant Cell-Type Transcriptional Response to High Salinity.

Uygun S, Azodi CB, Shiu SH.

Plant Physiol. 2019 Dec;181(4):1739-1751. doi: 10.1104/pp.19.00653. Epub 2019 Sep 24.

4.

Benchmarking Parametric and Machine Learning Models for Genomic Prediction of Complex Traits.

Azodi CB, Bolger E, McCarren A, Roantree M, de Los Campos G, Shiu SH.

G3 (Bethesda). 2019 Nov 5;9(11):3691-3702. doi: 10.1534/g3.119.400498.

5.

Evolutionary characteristics of intergenic transcribed regions indicate rare novel genes and widespread noisy transcription in the Poaceae.

Lloyd JP, Bowman MJ, Azodi CB, Sowers RP, Moghe GD, Childs KL, Shiu SH.

Sci Rep. 2019 Aug 20;9(1):12122. doi: 10.1038/s41598-019-47797-y.

6.

Expression and regulatory asymmetry of retained Arabidopsis thaliana transcription factor genes derived from whole genome duplication.

Panchy NL, Azodi CB, Winship EF, O'Malley RC, Shiu SH.

BMC Evol Biol. 2019 Mar 13;19(1):77. doi: 10.1186/s12862-019-1398-z.

7.

Predictive Models of Spatial Transcriptional Response to High Salinity.

Uygun S, Seddon AE, Azodi CB, Shiu SH.

Plant Physiol. 2017 May;174(1):450-464. doi: 10.1104/pp.16.01828. Epub 2017 Apr 3.

8.

Genetic models reveal historical patterns of sea lamprey population fluctuations within Lake Champlain.

D'Aloia CC, Azodi CB, Sheldon SP, Trombulak SC, Ardren WR.

PeerJ. 2015 Oct 29;3:e1369. doi: 10.7717/peerj.1369. eCollection 2015.

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