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Joanna C. Chiu

Researcher at University of California, Davis

Publications -  90
Citations -  5760

Joanna C. Chiu is an academic researcher from University of California, Davis. The author has contributed to research in topics: Circadian clock & Drosophila suzukii. The author has an hindex of 29, co-authored 76 publications receiving 4833 citations. Previous affiliations of Joanna C. Chiu include Rutgers University & New York University.

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Molecular Diversity of K+ Channels

TL;DR: This chapter attempts to give an overview of the different genes coding for K+ channel principal and accessory subunits and their genealogical relationships, and discusses the possible correlation of different principal sub units with native K+ channels, the biophysical and pharmacological properties of channels formed when principal subunits are expressed in heterologous expression systems, and their patterns of tissue expression.
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Highly evolvable malaria vectors: The genomes of 16 Anopheles mosquitoes

Daniel E. Neafsey, +133 more
- 02 Jan 2015 - 
TL;DR: The authors investigated the genomic basis of vectorial capacity and explore new avenues for vector control, sequenced the genomes of 16 anopheline mosquito species from diverse locations spanning ~100 million years of evolution Comparative analyses show faster rates of gene gain and loss, elevated gene shuffling on the X chromosome, and more intron losses, relative to Drosophila.
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Glutamate-receptor genes in plants.

TL;DR: It is discovered that genes encoding putative ionotropic GluRs exist in plants, and preliminary evidence for their involvement in light-signal transduction is presented, helping to explain why neuroactive compounds made by plants work on receptors in human brains.
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The identity of plant glutamate receptors.

TL;DR: Completion of the Arabidopsis genome-sequencing project has revealed that among the 600Arabidopsis genes predicted to encode membrane transport proteins of Ion channels, the largest number are related to transport of Na6(SO4)2 and Na2SO4.
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Guidelines for Genome-Scale Analysis of Biological Rhythms

Michael E. Hughes, +95 more
TL;DR: CircaInSilico is introduced, a web-based application for generating synthetic genome biology data to benchmark statistical methods for studying biological rhythms, and several unmet analytical needs, including applications to clinical medicine, are discussed and productive avenues to address them are suggested.